output
20072026
most citedGoogle Scholar, Web of Science, and Scopus: a systematic comparison of citations in 252 subject categories

2k citations

Showing 2022Show all

17 papers · 1 filter

cs.DL2022★ 3 cited

Is big team research fair in national research assessments? The case of the UK Research Excellence Framework 2021

Mike Thelwall, Kayvan Kousha, Mahshid Abdoli +4

Collaborative research causes problems for research assessments because of the difficulty in fairly crediting its authors. Whilst splitting the rewards for an article amongst its a…

cs.DL2022★ 41 cited

Why are co-authored academic articles more cited: Higher quality or larger audience?

Mike Thelwall, Kayvan Kousha, Mahshid Abdoli +4

Co-authored articles tend to be more cited in many academic fields, but is this because they tend to be higher quality or is it an audience effect: increased awareness through mult…

cs.DL2022★ 23 cited

In which fields do higher impact journals publish higher quality articles?

Mike Thelwall, Kayvan Kousha, Mahshid Abdoli +4

The Journal Impact Factor and other indicators that assess the average citation rate of articles in a journal are consulted by many academics and research evaluators, despite initi…

cs.DL2022★ 24 cited

Is Research Funding Always Beneficial? A Cross-Disciplinary Analysis of UK Research 2014-20

Mike Thelwall, Kayvan Kousha, Mahshid Abdoli +5

The search for and management of external funding now occupies much valuable researcher time. Whilst funding is essential for some types of research and beneficial for others, it m…

cs.DL2022★ 27 cited

Predicting article quality scores with machine learning: The UK Research Excellence Framework

Mike Thelwall, Kayvan Kousha, Mahshid Abdoli +6

National research evaluation initiatives and incentive schemes have previously chosen between simplistic quantitative indicators and time-consuming peer review, sometimes supported…

cs.LG2022★ 4 cited

FEMa-FS: Finite Element Machines for Feature Selection

Lucas Biaggi, João P. Papa, Kelton A. P Costa +2

Identifying anomalies has become one of the primary strategies towards security and protection procedures in computer networks. In this context, machine learning-based methods emer…