Evaluating a researcher involves assessing their contributions, skills, and potential in a holistic and context-appropriate way. The "best" approach depends on the purpose of the evaluation— whether for hiring, promotions, funding, or academic recognition.
What are the key factors and methods to consider?
Outcome of the findings and it's impact on health sciences.
Move beyond ‘publish or perish’ by measuring behaviours that benefit academia
A standardized system to measure contributions in mentorship, collaboration and more could bring about systemic change in science...
"Publishing well-cited papers in high-impact journals is central to researchers’ career progression. This results in intense pressure to perform well in this one area, often at the expense of other scholarly activities. Although citation metrics can indicate expertise, they can also amplify power imbalances, because highly cited scholars attract ever-more citations and influence..."
https://www.nature.com/articles/d41586-025-00563-9
Remembering Mario Biagioli, who articulated how scholarly metrics lead to fraud
"Mario Biagioli, a distinguished professor of law and communication at the University of California, Los Angeles — and a pioneering thinker about how academic reward systems incentivize misconduct — passed away in May after a long illness. He was 69.
Among other intellectual interests, Biagioli wrote frequently about the (presumably) unintended consequences of using metrics such as citations to measure the quality and impact of published papers, and thereby the prestige of their authors and institutions.
“It is no longer enough for scientists to publish their work. The work must be seen to have an influential shelf life,” Biagioli wrote in Nature in 2016. “This drive for impact places the academic paper at the centre of a web of metrics — typically, where it is published and how many times it is cited — and a good score on these metrics becomes a goal that scientists and publishers are willing to cheat for.”
Such cheating takes the form of faking peer reviews, coercing citations, faking coauthors, or buying authorship on papers, among other tactics described in the 2020 book Gaming the Metrics: Misconduct and Manipulation in Academic Research, which Biagioli edited with Alexandra Lippman..."
https://retractionwatch.com/2025/07/03/remembering-mario-biagioli-who-articulated-how-scholarly-metrics-lead-to-fraud/
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