Jeroen Keppens

86 total papers · 861 total citations
44 papers, 403 citations indexed

About

Jeroen Keppens is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Jeroen Keppens has authored 44 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jeroen Keppens's work include AI-based Problem Solving and Planning (14 papers), Bayesian Modeling and Causal Inference (11 papers) and Semantic Web and Ontologies (11 papers). Jeroen Keppens is often cited by papers focused on AI-based Problem Solving and Planning (14 papers), Bayesian Modeling and Causal Inference (11 papers) and Semantic Web and Ontologies (11 papers). Jeroen Keppens collaborates with scholars based in United Kingdom, New Zealand and United States. Jeroen Keppens's co-authors include Qiang Shen, Burkhard Schäfer, David Hay, John Zeleznikow, G. Flucke, Nathan Griffiths, Bernd Schäfer, Michael R. F. Lee, Richard E. Overill and Chris Price and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Artificial Intelligence Research.

In The Last Decade

Jeroen Keppens

41 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jeroen Keppens 220 74 65 50 42 44 403
Willis H. Ware 97 0.4× 28 0.4× 93 1.4× 12 0.2× 85 2.0× 46 339
Leonardo Lesmo 353 1.6× 45 0.6× 22 0.3× 33 0.7× 19 0.5× 55 411
Syed Waqar Jaffry 265 1.2× 25 0.3× 80 1.2× 59 1.2× 41 1.0× 34 445
Marija Slavkovik 177 0.8× 12 0.2× 41 0.6× 36 0.7× 71 1.7× 43 401
Frank P. Sherwood 97 0.4× 35 0.5× 144 2.2× 16 0.3× 23 0.5× 27 412
Régis Riveret 280 1.3× 39 0.5× 112 1.7× 46 0.9× 55 1.3× 38 424
Jesús Contreras 124 0.6× 40 0.5× 83 1.3× 21 0.4× 26 0.6× 56 443
G Veena 203 0.9× 18 0.2× 74 1.1× 16 0.3× 29 0.7× 32 397
Prodromos Malakasiotis 368 1.7× 52 0.7× 71 1.1× 21 0.4× 19 0.5× 23 412
Andrew Jones 307 1.4× 35 0.5× 36 0.6× 52 1.0× 70 1.7× 13 394

Countries citing papers authored by Jeroen Keppens

Since Specialization
Citations

This map shows the geographic impact of Jeroen Keppens's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeroen Keppens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeroen Keppens more than expected).

Fields of papers citing papers by Jeroen Keppens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeroen Keppens. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeroen Keppens. The network helps show where Jeroen Keppens may publish in the future.

Co-authorship network of co-authors of Jeroen Keppens

This figure shows the co-authorship network connecting the top 25 collaborators of Jeroen Keppens. A scholar is included among the top collaborators of Jeroen Keppens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeroen Keppens. Jeroen Keppens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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