Model: Mike Thelwall. Artist: Zahra Uppal.

Mike Thelwall

Professor of Information Science; reseaching big data: webometrics, altmetrics, and sentiment analysis; developing quantitative web methods for Twitter, social networks, YouTube, and various types of link and impact metrics; conducting impact assessments for organisations, such as the UNDP.

Blog about the use of alternative metrics for research evaluation.

School of Mathematics and Computing, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1LY, UK. Tel. +44 1902 321470. Fax +44 1902 321478. m dot thelwall at wlv.ac.uk.

 

 

Free academic research software

 

Selected refereed journal articles (total: 230) - contact m dot thelwall at wlv.ac.uk for copies. See also publications organised by topic area, Google Scholar list. and ACUMEN Portfolio.

  1. Thelwall, M. & Wilson, P. (in press). Distributions for cited articles from individual subjects and years. Journal of Informetrics. [Shows that for a set of articles from a single subject and year, the hooked power law and the lognormal distributions fit better than the power law (for articles with at least one citation), even for the distribution tail, and so should always be used in preference to the power law.]
  2. Kousha, K. & Thelwall, M. (in press). Can Amazon.com reviews help to assess the wider impacts of books? Journal of the Association for Information Science and Technology.[Introduces Amazon book reviews (number and sentiment) as metrics for academic book impact. Shows that book reviews tend to reflect the wider popularity of books rather than their purely academic impact.]
  3. Sud, P. & Thelwall, M. (in press). Linked title mentions: A new automated link search candidate. Scientometrics. [Introduces a new automatic link search method that is in Webometric Analyst and can give more accurate results that URL citations or title mentions in certain circumstances.]
  4. Maflahi, N. & Thelwall, M. (in press). When are readers as good as citers for bibliometrics? Scopus vs. Mendeley for LIS journals. Journal of the Association for Information Science and Technology. [Based upon four key LIS journals, finds that Mendeley reader counts are reasonable proxies for citation counts for articles that are 1-10 years old.]
  5. Mas-Bleda, A., Thelwall, M., Kousha, K. & Aguillo, I.F. (in press). Do highly cited researchers successfully use the Social Web? Scientometrics.[Shows that few European highly cited researchers use social web sites but that there is a way to estimate their impact in most of these sites.]
  6. Mohammadi, E., Thelwall, M., Haustein, S., & Larivière, V. (in press). Who reads research articles? An altmetrics analysis of Mendeley user categoriesJournal of the Association for Information Science and Technology.[PhD students, postgraduates and postdocs are the main readers of articles in Mendeley, although there are disciplinary differences.]
  7. Sud, P. & Thelwall, M. (in press). Not all international collaboration is beneficial: The Mendeley readership and citation impact of biochemical research collaboration.  Journal of the Association for Information Science and Technology. [Although the benefits of international collaboration seem to be an accepted truth througout science, this article suggests that collaboration with some countries may not be beneficial, at least at a statistical level.]
  8. Thelwall, M. & Maflahi, N. (in press). Are scholarly articles disproportionately read in their own country? An analysis of Mendeley readers. Journal of the Association for Information Science and Technology. [Cross-references the countries of Mendeley readers with the countries of article authors and finds that articles tend to be read more in a country if some of the authors are from that country.]
  9. Thelwall, M. & Kousha, K. (in press). ResearchGate: Disseminating, communicating and measuring scholarship? Journal of the Association for Information Science and Technology. [Assesses statistics reported by ResearchGate about its users to see whether they broadly reflect traditional academic hierarchies, at least at the country level. Finds broad agreement with other academic indicators but also finds that some countries make relatively much more use of ResearchGate than do others.]
  10. Holmberg, K. & Thelwall, M. (in press). Disciplinary differences in Twitter scholarly communication, Scientometrics.[Shows that researchers use Twitter in very different ways (retweeting, links, scholarly uses), depending upon their discipline.]
  11. Shema, H., Bar-Ilan, J., & Thelwall, M. (in press). How is research blogged? A content analysis approach. Journal of the Association for Information Science and Technology. [Shows that health research bloggers tend to cover others's work, seem to aim at a general audience, and often include critical comments.]
  12. Kousha, K. & Thelwall, M. (in press). An automatic method for extracting citations from Google Books. Journal of the Association for Information Science and Technology. [Shows that it is possible to automatically extract citations from Google Books and argues that this is useful for social sciences and humanities research evaluation.]
  13. Abdullah, A. & Thelwall, M. (in press). Can the impact of non-Western academic books be measured? An investigation of Google Books and Google Scholar for Malaysia. Journal of the Association for Information Science and Technology. [Shows that it is possible to automatically extract citations from Google Books and get useful results for the monographs and edited volumes of non-Western nations.]
  14. Kousha, K. & Thelwall, M. (2014). Disseminating research with web CV hyperlinks. Journal of the Association for Information Science and Technology, 65(8), 1615–1626. [Shows that few EU researchers are fully exploiting their CVs to publicise their research.]
  15. Mohammadi, E. & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627-1638. [Shows that Mendeley readership data can give evidence of knowledge transfer between disciplines.]
  16. Shema, H., Bar-Ilan, J., & Thelwall, M. (2014). Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. Journal of the Association for Information Science and Technology, 65(5), 1018–1027. [Shows that blog citations can be used to predict future scholarly citations.]
  17. Thelwall, M. & Kousha, K. (2014). Academia.edu: Social network or academic network? Journal of the Association for Information Science and Technology, 65(4), 721-731. [Suggests that Academia.edu reflects a combination of scholarly and social network site norms.]
  18. Thelwall, M. & Sud, P. (2014). No citation advantage for monograph-based collaborations? Journal of Informetrics, 8(1), 276-283. [Shows that solo monographs tend to be as highly cited as co-authored monographs, in stark contrast to the case of articles.]
  19. Sud, P. & Thelwall, M. (2014). Evaluating altmetrics. Scientometrics, 98(2),1131-1143. 10.1007/s11192-013-1117-2. [Summarises methods to evaluate altmetrics and recommends evaluation strategies. publisher version]
  20. Wilkinson, D., Sud, P., & Thelwall, M. (2014). Substance without citation: Evaluating the online impact of grey literature. Scientometrics, 98(2), 797-806. [Shows that webometric methods can be used to help evaluate the publications of organisations that produce grey literature rather than scholarly publications.][publisher version]
  21. Mas Bleda, A., Thelwall, M., Kousha, K., & Aguillo, I. (2014). Successful researchers publicizing research online: An outlink analysis of European highly cited scientists’ personal websites. Journal of Documentation, 70(1), 148-172.[Shows there are major disciplinary differences in how successful researchers use the web to point to their articles.]
  22. Thelwall, M., Haustein, S., Larivière, V. & Sugimoto, C. (2013). Do altmetrics work? Twitter and ten other candidates. PLOS ONE, 8(5), e64841. doi:10.1371/journal.pone.0064841 [Shows on a large scale that altmetrics can associate with higher citation counts, but that changes in uptake of social web services over time makes it invalid to compare scores for articles from different time periods.]
  23. Didegah, F., & Thelwall, M. (2013). Which factors help authors produce the highest impact research? Collaboration, journal and document properties. Journal of Informetrics, 7(4), 861-873. [Uses a statistical modelling approach to identify document properties associating with higher citation impact.]
  24. Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library and Information Science Research, 35(4), 318-325.10.1016/j.lisr.2013.04.006 [Shows that (a) webometric research can exploit search markets to get more search resutls, and (b) that Bing results can vary substantially depending upon the location of the searcher.]
  25. Mohammadi, E. & Thelwall, M. (2013). Assessing non-standard article impact using F1000 labelsScientometrics, 97(2), 383-395.
  26. Thelwall, M., & Buckley, K. (2013). Topic-based sentiment analysis for the Social Web: The role of mood and issue-related words. Journal of the American Society for Information Science and Technology, 64(8), 1608–1617.[Shows that social web sentiment analysis performance can be improved by semi-automatically incorporating topic-specific sentiment words into the lexicon and by picking a postive or negative mood as a sentiment default.]
  27. Levitt, J., & Thelwall, M. (2013). Alphabetization and the skewing of first authorship towards last names early in the alphabet. Journal of Informetrics 7(3), 575– 582. [publisher version] [Shows that almost throughout the social sciences article authors are sometimes deliberately listed in alphabetical order and that because it damages careers this practice should be stopped, for example by journal author guidelines explicitly stating that it is unacceptable.]
  28. Didegah, F. & Thelwall, M. (2013). Determinants of research citation impact in nanoscience and nanotechnology. Journal of the American Society for Information Science and Technology, 64(5), 1055–1064.[Uses a statistical modelling approach to identify document properties associating with higher citation impact in nanoscience research.]
  29. Sugimoto, C.R. & Thelwall, M. (2013). Scholars on soap boxes: Science communication and dissemination via TED videos. Journal of the American Society for Information Science and Technology, 64(4), 663-674. [Analyses a wide range of metrics for TED Talks, finding, for example, that academics seem to perform well in contrast to non-academics.]
  30. Kousha, K., Thelwall, M. & Abdoli, M. (2012). The role of online videos in research communication: A content analysis of YouTube videos cited in academic publications. Journal of the American Society for Information Science and Technology, 63(9), 1710–1727.
  31. Wilkinson, D. & Thelwall, M. (2012). Trending Twitter topics in English: An international comparison. Journal of the American Society for Information Science and Technology, 63(8), 1631-1646.
  32. Thelwall, M. (2012). Journal impact evaluation: A webometric perspective, Scientometrics, 92(2), 429-441.[Publisher version]
  33. Minguillo, D. & Thelwall, M. (2012). Mapping the network structure of science parks: An exploratory study of cross-sectoral interactions reflected on the web, ASLIB Proceedings, 64(4), 332-357.
  34. Didegah, F., Thelwall, M. & Gazni, A. (2012). An international comparison of journal publishing and citing behaviours, Journal of Informetrics 6(4), 516-531.
  35. Shema, H., Bar-Ilan, J., & Thelwall, M. (2012). Research blogs and the discussion of scholarly information. PLOS ONE 7(5): e35869.
  36. Thelwall, M., Sud, P., & Wilkinson, D. (2012). Link and co-inlink network diagrams with URL citations or title mentions. Journal of the American Society for Information Science and Technology, 63(4),805-816.
  37. Li, X., Thelwall, M., & Giustini, D. (2012). Validating online reference managers for scholarly impact measurement, Scientometrics, 91(2), 461-471.
  38. Thelwall, M. & Sud, P. (2012). Webometric research with the Bing Search API 2.0. Journal of Informetrics, 6(1), 44-52.
  39. Thelwall, M., Sud, P., & Vis, F. (2012). Commenting on YouTube videos: From Guatemalan rock to El Big Bang. Journal of the American Society for Information Science and Technology, 63(3), 616–629.
  40. Thelwall, M., Buckley, K., & Paltoglou, G. (2012). Sentiment strength detection for the social web. Journal of the American Society for Information Science and Technology, 63(1), 163-173. [Describes and evaluates an improved sentiment analysis approach to detect the strength of positive and negative sentiment in a wide variety of types of social web texts.]
  41. Eccles, K.E., Thelwall, M., & Meyer, E.T. (2012). Measuring the web impact of digitised scholarly resources. Journal of Documentation, 68(4), 512-526.
  42. Kousha, K., Thelwall, M. & Rezaie, S. (2011). Assessing the citation impact of books: The role of Google Books, Google Scholar and Scopus. Journal of the American Society for Information Science and Technology, 62(11) 2147–2164.
  43. Thelwall, M. & Sud, P. (2011). A comparison of methods for collecting web citation data for academic organisations. Journal of the American Society for Information Science and Technology, 62(8), 1488–1497. [Compares URL citations, title mentions and link counts against each other, for both hit count estimates and full lists of URLs.]
  44. Wilkinson, D. & Thelwall, M. (2011). Researching personal information on the public Web: Methods and ethics, Social Science Computer Review, 29(4), 387-401.(please email for a copy). Related e-research ethics article.
  45. Chmiel, A., Sienkiewicz, J., Thelwall, M., Paltoglou, G., Buckley, K., Kappas, A. & Hołyst, J.A. (2011). Collective emotions online and their influence on community life, PLOS ONE, 6(7): e22207.
  46. Levitt, J., Thelwall, M. & Oppenheim, C. (2011). Variations between subjects in the extent to which the social sciences have become more interdisciplinary. Journal of the American Society for Information Science and Technology, 62(6), 1118-1129.
  47. Thelwall, M., Buckley, K., & Paltoglou, G. (2011). Sentiment in Twitter events. Journal of the American Society for Information Science and Technology, 62(2), 406-418. [Describes and evaluates a new sentiment analysis approach to detect the strength of positive and negative sentiment in short informal social web texts.] [read a summary in this science blog]
  48. Levitt, J., & Thelwall, M. (2011). A combined bibliometric indicator to predict article impact. Information Processing & Management, 47(2), 300-308.
  49. Cugelman, B., Thelwall, M. & Dawes, P. (2011). The psychology of online behavioural influence interventions: a meta-analysis. Journal of Medical Internet Research 13(1), e17.
  50. Thelwall, M. (2011). A comparison of link and URL citation counting. ASLIB Proceedings, 63(4), 419-425. [Outstanding paper award]
  51. Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010). Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12), 2544-2558. [sentistrength web site]
  52. Wilkinson, D. & Thelwall, M. (2010). Social network site changes over time: The case of MySpace. Journal of the American Society for Information Science and Technology, 61(11), 2311–2323.
  53. Thelwall, M., Wilkinson, D. & Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in MySpace, Journal of the American Society for Information Science and Technology, 61(1), 190-199.
  54. Thelwall, M. & Wilkinson, D. (2010). Public dialogs in social network sites: What is their purpose? Journal of the American Society for Information Science and Technology, 61(2), 392-404.
  55. Kousha, K. & Thelwall, M. & Rezaie, S. (2010). Can the impact of scholarly images be assessed online?  An exploratory study using image identification technology, Journal of the American Society for Information Science and Technology, 61(9), 1734–1744.
  56. Thelwall, M., Klitkou, A., Verbeek, A., Stuart, D. & Vincent, C. (2010). Policy-relevant webometrics for individual scientific fields, Journal of the American Society for Information Science and Technology, 61(7) 1464-1475.
  57. Levitt, J., & Thelwall, M. (2010). Does the higher citation of collaborative research differ from region to region? A case study of economics, Scientometrics, 85(1), 171-183. [abstract and publisher copy]
  58. Angus, E., Thelwall, M., Stuart, D. (2010). Flickr’s potential as an academic image resource: an exploratory study. Journal of Librarianship and Information Science, 42(4) 268–278.
  59. Kousha, K., Thelwall, M. & Rezaie, S. (2010). Using the web for research evaluation: The Integrated Online Impact indicator, Journal of Informetrics, 4(1), 124-135.
  60. Koteyko, N. Thelwall, M. & Nerlich, B. (2010). From carbon markets to carbon morality: creative compounds as framing devices in online discourses on climate change mitigation, Science Communication, 32(1), 25-54.
  61. Shifman, L. & Thelwall, M. (2009). Assessing global diffusion with Web Memetics: The spread and evolution of a popular joke, Journal of the American Society for Information Science and Technology 60(12), 2567-2576.
  62. Kousha, K. & Thelwall, M. (2009). Google Book Search: Citation analysis for social science and the humanities, Journal of the American Society for Information Science and Technology, 60(8), 1537-1549.
  63. Cugelman, B., Thelwall, M., & Dawes, P. (2009). The dimensions of website credibility and their relation to active trust and behavioural impact, Communications of the Association for Information Systems, 24, 455-472.
  64. Prabowo, R., Thelwall, M., (2009). Sentiment analysis: A combined approach, Journal of Informetrics, 3(1), 143-157.
  65. Levitt, J., & Thelwall, M. (2009). Citation levels and collaboration within Library and Information Science, Journal of the American Society for Information Science and Technology, 60(3), 434-442. [Note that seven Price medallists (Moravscik MJ; Merton RK; Vlachy, J; Irvine, J; Nalimov VV; Martin BR; Rousseau R) were omitted from the table of results - these are all clearly highly influential information scientists but did not meet one of the technical criteria mentioned in the methods for conducting the analysis.] 
  66. Thelwall, M. (2009). Homophily in MySpace, Journal of the American Society for Information Science and Technology, 60(2), 219-231.
  67. Thelwall, M. (2009). MySpace comments. Online Information Review, 33(1), 58-76.[an analysis of words used in MySpace comments]
  68. Prabowo, R., Thelwall, M., Hellsten I., & Scharnhorst A., (2008). Evolving debate in online communication: A graph analytical approach, Internet Research.18(5), 520-540.
  69. Holmberg, K. & Thelwall, M. (2009). Local government web sites in Finland: A geographic and webometric analysis, Scientometrics, 79(1), 157-169.
  70. Kousha, K. & Thelwall, M. (2008). Assessing the impact of disciplinary research on teaching:  An automatic analysis of online syllabuses, Journal of the American Society for Information Science and Technology, 59(13), 2060-2069.
  71. Levitt, J. & Thelwall, M. (2008). Is multidisciplinary research more highly cited? A macro-level study. Journal of the American Society for Information Science and Technology, 59(12), 1973-1984.
  72. Thelwall, M. (2008). No place for news in social networking web sites? Online Information Review, 32(6), 726-744.
  73. Park, H. W., & Thelwall, M. (2008). Developing network indicators for ideological landscapes from the political blogosphere in South Korea. Journal of Computer-Mediated Communication, 13(4), 856-879.
  74. Thelwall, M. (2008). Social networks, gender and friending: An analysis of MySpace member profiles, Journal of the American Society for Information Science and Technology, 59(8), 1321-1330.
  75. Thelwall, M., Wouters, P., & Fry, J. (2008). Information-Centred Research for large-scale analysis of new information sources, Journal of the American Society for Information Science and Technology, 59(9), 1523-1527. [More about this big data theory]
  76. Thelwall, M. (2008). Quantitative comparisons of search engine results, Journal of the American Society for Information Science and Technology, 59(11), 1702-1710. [See also Google patents, which are relevant and I hadn't spotted at the time. Particularly this]
  77. Thelwall, M. (2008). Fk yea I swear: Cursing and gender in a corpus of MySpace pages, Corpora, 3(1), 83-107. [The preprint is an extended version of the published article.]
  78. Prabowo, R, & Thelwall, M. (2008). Finding and tracking subjects in a debate over time, Journal of Informetrics, 2(2), 107-127
  79. Thelwall, M. & Kousha, K. (2008). Online presentations as a source of scientific impact?: An analysis of PowerPoint files citing academic journals, Journal of the American Society for Information Science and Technology, 59(5), 805-815.
  80. Thelwall, M. (2008). Bibliometrics to Webometrics, Journal of Information Science, 34(4), 605-621. [This paper was accepted for publication in Journal of Information Science and the final (edited, revised and typeset), definitive version of this paper was published in 2008 by SAGE Publications Ltd, All rights reserved. © SAGE Publications Ltd]
  81. Levitt, J. & Thelwall, M. (2008). Patterns of annual citation of highly cited articles and the prediction of their citation ranking: A comparison across subjects, Scientometrics, 77(1), 41-60.
  82. Payne, N., & Thelwall, M. (2008). Do academic link types change over time?, Journal of Documentation, 64(5), 707-720.
  83. Angus, E., Thelwall, M., & Stuart D. (2008). General patterns of tag usage among university groups in Flickr, Online Information Review, 32(1), 89-101.
  84. Barjak, F. & Thelwall, M. (2008). A statistical analysis of the web presences of European life sciences research teams. Journal of the American Society for Information Science and Technology, 59(4), 628-643.
  85. Levitt, J. & Thelwall, M. (2009). The most highly cited library and information science articles: Interdisciplinarity, first authors and citation patterns. Scientometrics, 78(1), 45-67.
  86. Thelwall, M. & Zuccala, A. (2008). A university-centred European Union link analysis, Scientometrics, 75(3), 407-420.
  87. Thelwall, M. & Wilkinson, D. (2008). A generic lexical URL segmentation framework for counting links, colinks or URLs, Library and Information Science Research, 30(2), 94-101. [publisher's final version]
  88. Thelwall, M. (2008). Extracting accurate and complete results from search engines: Case study Windows Live. Journal of the American Society for Information Science and Technology, 59(1), 38-50.
  89. Payne, N. & Thelwall, M. (2008). Longitudinal trends in academic web links. Journal of Information Science, 34(1), 3-14.
  90. Thelwall, M., Li, X., Barjak, F. & Robinson, S. (2008). Assessing the web connectivity of research groups on an international scale. ASLIB Proceedings, 60(1), 18-31.
  91. Kousha, K. & Thelwall, M. (2008). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273-294.
  92. Tang, R. & Thelwall, M. (2008). A hyperlink analysis of US public and academic libraries’ Web sites, Library Quarterly, 78(4), 419-435.
  93. Thelwall, M., Byrne, A. & Goody, M. (2007). Which types of news story attract bloggers? Information Research 12(4).
  94. Zuccala, A., Thelwall, M., Oppenheim, C., & Dhiensa, R. (2007). Web intelligence analyses of digital libraries: A case study of the National Electronic Library for Health (NeLH). Journal of Documentation, 63(4), 558-589.
  95. Lamboitte, R., Ausloos, M. & Thelwall, M. (2007). Word statistics in Blogs and RSS feeds: Towards empirical universal evidence. Journal of Informetrics, 1(4), 277-286
  96. Kousha, K. & Thelwall, M. (2007). The web impact of open access social science research. Library and Information Science Research, 29(4), 495-507.
  97. Kousha, K. & Thelwall, M. (2007). How is science cited on the web? A classification of Google unique web citations. Journal of the American Society for Information Science and Technology, 58(11), 1631-1644.
  98. Thelwall, M. & Stuart, D. (2007). RUOK? Communication technologies blogged during a crisis. Journal of Computer-Mediated Communication, 12(9).
  99. Prabowo, R., Thelwall, M. & Alexandrov, M. (2007). Generating overview timelines for major events in an RSS corpus. Journal of Informetrics, 1(2), 131-144.
  100. Thelwall, M. (2007). Blog searching: The first general-purpose source of retrospective public opinion in the social sciences? Online Information Review, 31(3), 277-289. [publisher version] ['Highly Commended' award from the publisher Emerald] Blogpulse.com has now closed but similar graphs can be made from social web data using Topsy Analytics.
  101. Kousha, K. & Thelwall, M. (2007). Google Scholar citations and Google Web/URL citations: A multi-discipline exploratory analysis, Journal of the American Society for Information Science and Technology, 57(6), 1055-1065. [Highly cited paper award in social sciences and art and humanities from Iran's Ministry of Science and Technology, 2008]
  102. Stuart, D., Thelwall, M. & Harries, G. (2007). UK academic web links and collaboration – an exploratory study. Journal of Information Science, 33(2), 231-246.
  103. Thelwall, M. & Prabowo, R. (2007). Identifying and characterising public science-related fears from RSS feeds. Journal of the American Society for Information Science and Technology, 58(3), 379-390.
  104. Barjak, F., Li., X. & Thelwall, M. (2007). Which factors explain the web impact of scientists’ personal homepages? Journal of the American Society for Information Science and Technology, 58(2), 200-211.
  105. Stuart, D. & Thelwall, M. (2006). Investigating triple helix relationships using URL citations: A case study of the UK West Midlands automobile industry. Research Evaluation, 15(2), 97-106.
  106. Thelwall, M. & Hellsten, I. (2006). The BBC, Telegraph and Wikinews timelines of the London Attacks: A comparison with contemporary discussions. Information Research 12(1).
  107. Prabowo, R. & Thelwall, M. (2006). A comparison of feature selection methods for an evolving RSS feed corpus. Information Processing & Management, 42(6), 1491-1512.
  108. Thelwall, M., Thelwall, S. & Fairclough, R. (2006). Automated web issue analysis: A nurse prescribing case study. Information Processing & Management, 42(6), 1471-1483.
  109. Kousha, K. & Thelwall, M. (2006). Motivations for URL citations to open access LIS library and information science articles. Scientometrics , 68(3), 501-517.
  110. Thelwall, M. & Stuart, D. (2006). Web crawling ethics revisited: Cost, privacy and denial of service. Journal of the American Society for Information Science and Technology, 57(13), 1771-1779.
  111. Thelwall, M., Prabowo, R. & Fairclough, R. (2006). Are raw RSS feeds suitable for broad issue scanning? A science concern case study. Journal of the American Society for Information Science and Technology, 57(12), 1644-1654.
  112. Thelwall, M. & Price, E. (2006). Language evolution and the spread of ideas: A procedure for identifying emergent hybrid word family members. Journal of the American Society for Information Science and Technology, 57(10), 1326-1337.
  113. Thelwall, M., Vann, K. & Fairclough, R. (2006). Web issue analysis: An Integrated Water Resource Management case study. Journal of the American Society for Information Science and Technology, 57(10), 1303-1314.
  114. Thelwall, M., Barjak, F. & Kretchmer, H. (2006). Web links and gender in science: An exploratory analysis. Scientometrics, 67(3), 373-383.
  115. Thelwall, M. (2006). Interpreting social science link analysis research: A theoretical framework. Journal of the American Society for Information Science and Technology, 57(1), 60-68.
  116. Li, X., Thelwall, M., Musgrove, P. & Wilkinson, D. (2005). National and international university departmental web site interlinking: Part 2, link patterns. Scientometrics, 64(2), 187-208.
  117. Price, E. & Thelwall, M. (2005). The clustering power of low frequency words in academic webs. Journal of the American Society for Information Science and Technology, 56(8), 883-888.
  118. Thelwall, M. (2005). Text characteristics of English language university web sites. Journal of the American Society for Information Science and Technology, 56 (6), 609–619.
  119. Harries, G., Wilkinson, D., Price, E., Fairclough, R. & Thelwall, M. (2004). Hyperlinks as a data source for science mapping, Journal of Information Science, 30(5), 436-447.
  120. Thelwall, M. & Harries, G. (2004). Can personal web pages that link to universities yield information about the wider dissemination of research? Journal of Information Science, 30(3), 243-256.
  121. Thelwall, M. (2004). Can the web give useful information about commercial uses of scientific research? Online Information Review, 28(2), 120-130. [Emerald 'Outstanding Paper' award]
  122. Thelwall, M. (2004). Weak benchmarking indicators for formative and semi-evaluative assessment of research. Research Evaluation, 13(1), 63-68.
  123. Tang, R. & Thelwall, M. (2004). Patterns of national and international web inlinks to US academic departments: An analysis of disciplinary variations. Scientometrics, 60(3), 475-485.
  124. Thelwall, M., & Harries, G. (2004). Do the Web sites of higher rated scholars have significantly more online impact? Journal of the American Society for Information Science and Technology, 55(2), 149-159.
  125. Vaughan, L. & Thelwall, M. (2004). Search engine coverage bias: evidence and possible causes, Information Processing & Management, 40(4), 693-707.
  126. Thelwall, M. & Wilkinson, D. (2004). Finding similar academic Web sites with links, bibliometric couplings and colinks. Information Processing & Management, 40(3), 515-526.
  127. Thelwall, M. & Vaughan, L. (2004). A fair history of the Web? Examining country balance in the Internet Archive, Library & Information Science Research, 26(2), 162-176.
  128. Thelwall, M. & Vaughan, L (2004). New versions of PageRank employing alternative Web document models, ASLIB Proceedings, 56(1), 24-33.
  129. Thelwall, M. (2004). Methods for reporting on the targets of links from national systems of university Web sites. Information Processing & Management, 40(1), 125-144.
  130. Thelwall, M. & Tang, R. (2003). Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan, Scientometrics, 58(1), 153-179.
  131. Wilkinson, D., Thelwall, M. & Li, X. (2003). Exploiting hyperlinks to study academic Web use. Social Science Computer Review, 21(3), 340-351.
  132. Thelwall, M. (2003). What is this link doing here? Beginning a fine-grained process of identifying reasons for academic hyperlink creation, Information research, 8(3).
  133. Thelwall, M., Vaughan, L., Cothey, V., Li, X. & Smith, A. (2003). Which academic subjects have most online impact? A pilot study and a new classification process, Online Information Review 27(5), 333-343.
  134. Thelwall, M. & Price, E. (2003). Disciplinary differences in academic web presence - A statistical study of the UK. Libri, 53(4), 242-253.
  135. Tang, R. & Thelwall, M. (2003). Disciplinary differences in US academic departmental web site interlinking, Library & Information Science Research, 25(4), 437-458.
  136. Thelwall, M. (2003). A layered approach for investigating the topological structure of communities in the web, Journal of Documentation, 59(4), 410-429.
  137. Thelwall, M., Harries, G., & Wilkinson, D. (2003). Why do web sites from different academic subjects interlink? Journal of Information Science, 29(6), 445-463.
  138. Li, X., Thelwall, M., Musgrove, P. & Wilkinson, D. (2003). The relationship between the links/Web Impact Factors of computer science departments in UK and their RAE (Research Assessment Exercise) ranking in 2001, Scientometrics, 57(2), 239-255.
  139. Thelwall, M. & Wilkinson, D. (2003). Graph structure in three national academic Webs: Power laws with anomalies, Journal of the American Society for Information Science and Technology, 54(8), 706-712.
  140. Thelwall, M. & Harries, G. (2003). The connection between the research of a university and counts of links to its web pages: An investigation based upon a classification of the relationships of pages to the research of the host university. Journal of the American Society for Information Science and Technology, 54(7), 594-602.
  141. Thelwall, M. (2003). Can Google's PageRank be used to find the most important academic web pages? Journal of Documentation, 59(2), 205-217. ['Citation of Excellence' from the publisher Emerald]
  142. Thelwall, M. & Wilkinson, D. (2003). Three target document range metrics for university Web sites. Journal of the American Society for Information Science and Technology, 54(6), 489-496.
  143. Thelwall, M., Tang, R. & Price, E. (2003). Linguistic patterns of academic web use in Western Europe, Scientometrics, 56(3), 417-432.
  144. Wilkinson, D., Harries, G., Thelwall, M. & Price, E. (2003). Motivations for academic web site interlinking: Evidence for the web as a novel source of information on informal scholarly communication, Journal of Information Science, 29(1), 59-66.
  145. Thelwall, M. (2003). Web use and peer interconnectivity metrics for academic web sites, Journal of Information Science, 29(1), 11-20.
  146. Thelwall, M. (2002). Research dissemination and invocation on the web. Online Information Review 26(6), 413-420.
  147. Thelwall, M. & Smith, A. (2002). A study of the interlinking between Asia-Pacific university web sites, Scientometrics, 55(3), 335-348.
  148. Thelwall, M. (2002). A research and institutional size based model for national university web site interlinking, Journal of Documentation, 58(6), 683-694.
  149. Thelwall, M. (2002). The top 100 linked pages on UK university web sites: High inlink counts are not usually directly associated with quality scholarly content, Journal of Information Science, 28(6), 485-493.
  150. Thelwall, M. (2002). Evidence for the existence of geographic trends in university web site interlinking, Journal of Documentation, 58(5), 563-574. ['Highly Commended' by the publisher Emerald]
  151. Thelwall, M. (2002). Conceptualizing documentation on the web: an evaluation of different heuristic-based models for counting links between university web sites, Journal of the American Society for Information Science and Technology, 53(12), 995-1005. [Cited in Microsoft patent: US 7739281 B2]
  152. Thelwall, M. (2002). Methodologies for crawler based web surveys, Internet Research: Electronic Networking and Applications, 12(2), 124-138.
  153. Thelwall, M. Binns, R. Harries, G. Page-Kennedy, T. Price E. and Wilkinson, D. (2002). European Union associated university websites, Scientometrics, 53(1), 95-111.
  154. Thelwall, M. (2002). Sources of links for WIF calculations, Journal of Documentation 58(1) 60-72.
  155. Thelwall, M. (2002). An initial exploration of the link relationship between UK university web sites, ASLIB Proceedings, 54(2), 118-126.
  156. Thelwall, M. (2001). Extracting macroscopic information from web links, Journal of the American Society for Information Science and Technology, 52(13), 1157-1168.
  157. Thelwall, M. (2001). Results from a Web Impact Factor crawler, Journal of Documentation, 57(2), 177-191.
  158. Thelwall, M. (2000). Web Impact Factors and search engine coverage, Journal of Documentation, 56(2), 185-189.
  159. Thelwall, M. (2000). Computer Based Assessment: A versatile educational tool. Journal of Computers and Education, 34, 37-49. [publisher version]
 

Book chapters (total: 23)

  1. Thelwall, M. & Kappas, A. (2014). The role of sentiment in the social web. In: von Scheve, C. & Salmela, M. (eds.) Collective Emotions. Oxford: Oxford University Press (pp. 375-388).
  2. Thelwall, M. (2013). Society on the Web. In: Dutton, W., (ed.), The Oxford Handbook of Internet Studies. Oxford, UK: Oxford University Press (pp. 69-85).
  3. Thelwall, M., Kousha, K., Weller, K., & Puschmann, C. (2012). Assessing the impact of online academic videos. In: G. Widen Wulff & K. Holmberg, (Eds), Social Information Research, Bradford: Emerald Group Publishing Limited. (pp. 195-213).
  4. Thelwall, M. (2011). Privacy and gender in the Social Web. In: Sabine Trepte, Leonard Reinecke (Eds), Privacy online: Perspectives on Privacy and Self-Disclosure in the Social Web, New York: Springer (pp. 255-269).
  5. Thelwall, M. (2011). Investigating human communication and language from traces left on the web. In: Malcolm Williams, W Paul Vogt, (Eds), The SAGE Handbook of Innovation in Social Research Methods, London: Sage. (pp. 167-181). [This includes some small link diagrams for Alan Turing]
  6. Thelwall, M. (2009). Social network sites: Users and uses. In: M. Zelkowitz (Ed.), Advances in Computers 76. Amsterdam: Elsevier (pp. 19-73).
 

Books

  1. Thelwall, M. (2013). Big Data and Social Web Research Methods [free in-progress draft copy]. University of Wolverhampton. [This is an updated and extended free ebook based upon the book below and four extra chapters from a forthcoming book. It can be read on its own or as an update to the book below] [28 August 2014 update; a previous version of this book was called: Webometrics and social web research methods]
  2. Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. San Rafael, CA: Morgan & Claypool (Synthesis Lectures on Information Concepts, Retrieval, and Services, 2009, Vol. 1, No. 1). Webometrics book blog. and Webometrics book web site.
  3. Thelwall, M. (2004). Link analysis: An information science approach. San Diego: Academic Press.
 

MPhil/PhD Students

Former PhD Students

PhD Examinations (27)

Qualifications

     

Bass guitarist in the Atomic Rooster tribute band Nutha Clucker.