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20172025
most citedPredicting article quality scores with machine learning: The UK Research Excellence Framework

27 citations · 47 across the 10 of their papers we have counts for

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cs.DL2025

Identifying and extracting Data Access Statements from full-text academic articles

David Pride, Matteo Cancellieri, Petr Knoth

A Data Access Statement (DAS) is a formal declaration detailing how and where the underlying research data associated with a publication can be accessed. It promotes transparency,…

cs.DL2025

Compare: A Framework for Scientific Comparisons

Moritz Staudinger, Wojciech Kusa, Matteo Cancellieri +3

Navigating the vast and rapidly increasing sea of academic publications to identify institutional synergies, benchmark research contributions and pinpoint key research contribution…

cs.DL2025

USRN Discovery Pilot: Increasing the Discoverability of Open Access Content Through a National Network

Petr Knoth, Paul Walk, Matteo Cancellieri +5

This paper presents the results of the USRN Discovery Pilot Project, a collaboration of SPARC, the Confederation of Open Access Repositories (COAR), CORE and Antleaf, to enhance th…

cs.DL2025

Making Software FAIR: A machine-assisted workflow for the research software lifecycle

Petr Knoth, Laurent Romary, Patrice Lopez +7

A key issue hindering discoverability, attribution and reusability of open research software is that its existence often remains hidden within the manuscript of research papers. Fo…

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.DL2017★ 16 cited

Towards effective research recommender systems for repositories

Petr Knoth, Lucas Anastasiou, Aristotelis Charalampous +4

In this paper, we argue why and how the integration of recommender systems for research can enhance the functionality and user experience in repositories. We present the latest tec…