62 citations · 113 across the 23 of their papers we have counts for
8 papers · 2 filters
Journal Quality Factors from ChatGPT: More meaningful than Impact Factors?
Mike Thelwall, Kayvan Kousha
Purpose: Journal Impact Factors and other citation-based indicators are widely used and abused to help select journals to publish in or to estimate the value of a published article…
Research evaluation with ChatGPT: Is it age, country, length, or field biased?
Mike Thelwall, Zeyneb Kurt
Some research now suggests that ChatGPT can estimate the quality of journal articles from their titles and abstracts. This has created the possibility to use ChatGPT quality scores…
Evaluating the Predictive Capacity of ChatGPT for Academic Peer Review Outcomes Across Multiple Platforms
Mike Thelwall, Abdullah Yaghi
While previous studies have demonstrated that Large Language Models (LLMs) can predict peer review outcomes to some extent, this paper builds on that by introducing two new context…
Evaluating the quality of published medical research with ChatGPT
Mike Thelwall, Xiaorui Jiang, Peter A. Bath
Estimating the quality of published research is important for evaluations of departments, researchers, and job candidates. Citation-based indicators sometimes support these tasks,…
In which fields can ChatGPT detect journal article quality? An evaluation of REF2021 results
Mike Thelwall, Abdallah Yaghi
Time spent by academics on research quality assessment might be reduced if automated approaches can help. Whilst citation-based indicators have been extensively developed and evalu…
Evaluating Research Quality with Large Language Models: An Analysis of ChatGPT's Effectiveness with Different Settings and Inputs
Mike Thelwall
Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion. It is therefore im…