An information science research group developing software and methods to exploit Web-based sources for social sciences research. We research alternative metrics, scientometrics, link analysis, cybermetrics, webometrics, social media images, and sentiment analysis.
Although all ranking schemes are flawed, we are ranked #1 in the world for the average scientific impact (CNCI) of our research in the Shanghai Global Ranking of Academic Subjects for Library & Information Science 2017 and again in 2018 and again in 2019 (joint).
Our REF2014 evaluation by the UK Communication, Cultural & Media Studies, Library and Information Management research assessment panel gave an average score of 3.37 out of 4, which was joint 5th in the UK in this subject area, with almost all of our research being rated "world leading" or "internationally excellent". The score for our submitted research outputs was the second highest in the country in this subject area (behind LSE). The research group score was also higher than the institution-wide average score of every single British university.
- Alternative metrics, social science web-based research methods, scientometrics, sentiment analysis, and web impact assessment particularly for research-related issues and as an aid to science measurement.
- PhD supervision in cybermetrics, webometrics, informetrics and general social science research that includes a significant component of internet-based quantitative methods. In the UK research classification system, this is Library and Information Management. Non-native English speakers need IELTS 7.0 in both written English and English comprehension because a cybermetrics PhD mainly involves reading and writing complex documents in English.
Contact Mike Thelwall m.thelwall @ wlv.ac.uk for more information about (self-funded) Ph.D. places, collaboration or research project proposals.
See a web environment network of this web site.
Doctoral/research forum and speaker timetable