Mike Thelwall

Professor of Data Science

University of Sheffield

United Kingdom

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Mike Thelwall is a Professor of Data Science at the University of Sheffield, UK. His research focuses on the impact of generative AI and social media on academic practices, as well as the evaluation of academic research quality. Recent articles explore topics such as the societal influence of AI tools like ChatGPT, the reliability of research citations, and gender differences in article retraction rates.

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Collaborators (9)

Paul Wilson

Senior Lecturer in Statistics

University of Wolverhampton

UNITED KINGDOM

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Kate Russell

University of East Anglia

UNITED KINGDOM

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Ehsan Mohammadi

Assistant Professor

University of South Carolina

UNITED STATES

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Peter Bath

Professor of Health Data Analytics

University of Sheffield

UNITED KINGDOM

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Lois Ferguson

University of East Anglia

UNITED KINGDOM

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Subreena Simrick

Minneapolis Heart Institute Foundation

UNITED KINGDOM

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Tracey Devonport

Professor or Applied Sport and Exercise Science

UNITED KINGDOM

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Zeyneb Kurt

University of Sheffield

UNITED KINGDOM

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Peter van den Besselaar

University of Amsterdam

NETHERLANDS

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Mike Thelwall

Research Interests

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About

Articles (20)

Is generative AI reshaping academic practices worldwide? A survey of adoption, benefits, and concerns

Estimating the quality of published medical research with ChatGPT

Research evaluation with ChatGPT: is it age, country, length, or field biased?

Assessing the societal influence of academic research with ChatGPT: Impact case study evaluations

Does ChatGPT Ignore Article Retractions and Other Reliability Concerns?

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models

Is OpenAlex suitable for research quality evaluation and which citation indicator is best?

Do male leading authors retract more articles than female leading authors?

Can ChatGPT replace citations for quality evaluation of academic articles and journals? Empirical evidence from library and information science

Research quality evaluation by AI in the era of large language models: advantages, disadvantages, and systemic effects – An opinion paper

Academic LGBTQ+ Terminology 1900-2021: Increasing Variety, Increasing Inclusivity?

Do bibliometrics introduce gender, institutional or interdisciplinary biases into research evaluations?

What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation

Terms in journal articles associating with high quality: can qualitative research be world-leading?

Terms in journal articles associating with high quality: can qualitative research be world-leading?

Artificial intelligence to support publishing and peer review: A summary and review

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

Why are coauthored academic articles more cited: Higher quality or larger audience?

Can journal reviewers dependably assess rigour, significance, and originality in theoretical papers? Evidence from physics

Factors associating with or predicting more cited or higher quality journal articles: An Annual Review of Information Science and Technology (ARIST) paper

Collaborators (9)

Paul Wilson

Kate Russell

Ehsan Mohammadi

Peter Bath

Lois Ferguson

Subreena Simrick

Tracey Devonport

Zeyneb Kurt

Peter van den Besselaar

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