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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.DL2026

Female participation in science in the past 125 years: An analysis of the Matilda effect over time

Felix Bittmann, Lutz Bornmann

The paper analyzes the historical under‑recognition of women in science (the Matilda effect) by comparing the proportion of female authors to female corresponding authors across mo…

cs.DL2026

Judges matter more than papers in post-publication research assessment

Robert Ward, Alex Jones, Lutz Bornmann

Research assessment relies on expert evaluations, yet human judgement is noisy, and it is unclear whether differences in assessment arise primarily from differences in genuine rese…

cs.DL2026

The Rising Dominance of Methods Across Science

Alexander Krauss, Ariel Rosenfeld, Lutz Bornmann

Scientific progress is traditionally narrated through the interplay of theoretical insights and experimental findings. Yet this view of science underplays a third and central pilla…

cs.IR2026

Large language models for post-publication research evaluation: Evidence from expert recommendations and citation indicators

Mengjia Wu, Yi Zhang, Robin Haunschild +1

Assessing the quality of scientific research is essential for scholarly communication, yet widely used approaches face limitations in scalability, subjectivity, and time delay. Rec…

cs.DL2026

Citation accuracy, citation noise, and citation bias: A foundation of citation analysis

Lutz Bornmann, Christian Leibel

Citation analysis is widely used in research evaluation to assess the impact of scientific papers. These analyses rest on the assumption that citation decisions by authors are accu…

cs.DL2025

Introducing multiverse analysis to bibliometrics: The case of team size effects on disruptive research

Christian Leibel, Lutz Bornmann

Although bibliometrics has become an essential tool in the evaluation of research performance, bibliometric analyses are sensitive to a range of methodological choices. Subtle choi…