Dr. Mike Thelwall
Email:m.thelwall@wlv.ac.uk      Web site: http://www.wlv.ac.uk/~cm1993/mycv.html

Mike Thelwall (*1965) is a Reader in the School of Computing and Information Science, and is a member of the Research Institute for Advanced Technologies at the University of Wolverhampton, UK, where he leads the Statistical Cybermetrics Research Group. Mike was previously a Senior Lecturer and a Lecturer at the University of Wolverhampton, which he joined in 1989. His PhD was in Pure Mathematics at the University of Lancaster, UK. His current research field includes identifying and analysing web phenomena using quantitative-lead research methods. He has developed a wide range of tools for gathering and analysing web data, including a research web crawler and software for statistical and topological analyses of site structures (through links) and site content (through text). His total list of publications includes 68 refereed journal articles and four book chapters. Over the past two years, Thelwall has delivered guest lectures in the UK, USA, Spain and Germany. He has produced joint papers with researchers in Canada, the USA, UK, Germany, Denmark, Spain, the Netherlands, Italy, Korea, New Zealand, and France. He is currently a member of the EU funded WISER project, and has successfully bid for funding from the Canadian Social Sciences and Humanities Research Council, as well as private organisations in the UK and Italy.

Selected key publications:

• Thelwall, M. (2004/5, to appear). Text Characteristics of English Language University Web Sites. Journal of the American Society for Information Science and Technology.
• Thelwall, M. (2004, to appear). Scientific Web Intelligence: Finding relationships in university webs. Communications of the ACM.
• Thelwall, M., & Harries, G. (2004). Do better scholars’ web publications have significantly higher online impact? Journal of the American Society for Information Science and Technology, 55(2), 149-159.
• 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.
• 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.