27 citations · 105 across the 20 of their papers we have counts for
11 papers · 1 filter
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,…
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…
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…
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…
Do Authors Deposit on Time? Tracking Open Access Policy Compliance
Drahomira Herrmannova, Nancy Pontika, Petr Knoth
Recent years have seen fast growth in the number of policies mandating Open Access (OA) to research outputs. We conduct a large-scale analysis of over 800 thousand papers from repo…
Peer review and citation data in predicting university rankings, a large-scale analysis
David Pride, Petr Knoth
Most Performance-based Research Funding Systems (PRFS) draw on peer review and bibliometric indicators, two different methodologies which are sometimes combined. A common argument…
Do Citations and Readership Identify Seminal Publications?
Drahomira Herrmannova, Robert M. Patton, Petr Knoth +1
In this paper, we show that citation counts work better than a random baseline (by a margin of 10%) in distinguishing excellent research, while Mendeley reader counts don't work be…
Incidental or influential? - Challenges in automatically detecting citation importance using publication full texts
David Pride, Petr Knoth
This work looks in depth at several studies that have attempted to automate the process of citation importance classification based on the publications full text. We analyse a rang…
Classifying document types to enhance search and recommendations in digital libraries
Aristotelis Charalampous, Petr Knoth
In this paper, we address the problem of classifying documents available from the global network of (open access) repositories according to their type. We show that the metadata pr…
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…
Semantometrics: Towards Fulltext-based Research Evaluation
Drahomira Herrmannova, Petr Knoth
Over the recent years, there has been a growing interest in developing new research evaluation methods that could go beyond the traditional citation-based metrics. This interest is…