Jeroen Keppens

865 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, United States and New Zealand. Jeroen Keppens's co-authors include Qiang Shen, Burkhard Schäfer, David Hay, John Zeleznikow, G. Flucke, Nathan Griffiths, Michael R. F. Lee, Richard E. Overill, Bernd Schäfer 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeroen Keppens United Kingdom 11 220 74 65 50 42 44 403
Preston King United Kingdom 12 100 0.5× 157 2.1× 56 0.9× 16 0.3× 88 2.1× 41 532
Manish Raghavan United States 9 306 1.4× 16 0.2× 69 1.1× 64 1.3× 105 2.5× 28 632
Frank Schilder United States 15 762 3.5× 66 0.9× 111 1.7× 43 0.9× 28 0.7× 53 912
Leonardo Lesmo Italy 11 351 1.6× 45 0.6× 22 0.3× 33 0.7× 19 0.5× 55 409
Liviu P. Dinu Romania 11 498 2.3× 10 0.1× 43 0.7× 22 0.4× 19 0.5× 90 604
Andrew Jones United Kingdom 7 307 1.4× 35 0.5× 36 0.6× 52 1.0× 70 1.7× 13 394
Marija Slavkovik Norway 10 178 0.8× 12 0.2× 43 0.7× 36 0.7× 73 1.7× 44 408
John F. Horty United States 20 1.1k 4.8× 115 1.6× 34 0.5× 71 1.4× 66 1.6× 61 1.4k
Marie‐Jean Meurs Canada 11 173 0.8× 13 0.2× 61 0.9× 12 0.2× 16 0.4× 41 352
Allen Ginsberg United States 14 322 1.5× 9 0.1× 115 1.8× 55 1.1× 73 1.7× 83 757

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

20 of 20 papers shown
1.
Rennick‐Egglestone, Stefan, Fiona Ng, Yasuhiro Kotera, et al.. (2024). The Implementation of Recommender Systems for Mental Health Recovery Narratives: Evaluation of Use and Performance. JMIR Mental Health. 11. e45754–e45754. 1 indexed citations
2.
Hall, Charlotte L, Aislinn Bergin, Pamela Jacobsen, et al.. (2024). Developing a process for assessing the safety of a digital mental health intervention and gaining regulatory approval: a case study and academic’s guide. Trials. 25(1). 604–604. 3 indexed citations
3.
Hsu, Che-Wei, Daniel Ståhl, Elias Mouchlianitis, et al.. (2023). User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia. JMIR Human Factors. 10. e45453–e45453. 4 indexed citations
4.
5.
Keppens, Jeroen. (2019). Explainable Bayesian Network Query Results via Natural Language Generation Systems. Research Portal (King's College London). 42–51. 6 indexed citations
6.
Sassoon, Isabel, et al.. (2018). A formalisation and prototype implementation of argumentation for statistical model selection. SHILAP Revista de lepidopterología. 10(1). 83–103. 2 indexed citations
7.
Griffiths, Nathan, et al.. (2017). Establishing norms with metanorms over interaction topologies. Autonomous Agents and Multi-Agent Systems. 31(6). 1344–1376. 6 indexed citations
8.
Overill, Richard E., et al.. (2014). Addressing the Increasing Volume and Variety of Digital Evidence Using an Ontology. Research Portal (King's College London). 1. 176–183. 8 indexed citations
9.
Keppens, Jeroen. (2012). Argument diagram extraction from evidential Bayesian networks. Artificial Intelligence and Law. 20(2). 109–143. 18 indexed citations
10.
Keppens, Jeroen. (2011). On extracting arguments from Bayesian network representations of evidential reasoning. Research Portal (King's College London). 141–150. 10 indexed citations
11.
Griffiths, Nathan, et al.. (2010). An Analysis of Norm Emergence in Axelrod’s Model. Warwick Research Archive Portal (University of Warwick). 9 indexed citations
12.
Keppens, Jeroen, et al.. (2010). Requirements Analysis: Evaluating KAOS Models. Journal of Software Engineering and Applications. 3(9). 869–874. 8 indexed citations
13.
Keppens, Jeroen, Qiang Shen, & Chris Price. (2010). Compositional Bayesian modelling for computation of evidence collection strategies. Applied Intelligence. 35(1). 134–161. 9 indexed citations
14.
Schäfer, Burkhard & Jeroen Keppens. (2007). Legal LEGO: Model based computer assisted teaching in evidence courses.. 2007. 1 indexed citations
15.
Keppens, Jeroen & Qiang Shen. (2006). Granularity and disaggregation in compositional modelling with applications to ecological systems. Applied Intelligence. 25(3). 269–292. 5 indexed citations
16.
Keppens, Jeroen & Burkhard Schäfer. (2005). Assumption Based Peg Unification for Crime Scenario Modelling. Research Portal (King's College London). 49–58. 2 indexed citations
17.
Keppens, Jeroen & Qiang Shen. (2004). Compositional Model Repositories via Dynamic Constraint Satisfaction with Order-of-Magnitude Preferences. Journal of Artificial Intelligence Research. 21. 499–550. 10 indexed citations
18.
Keppens, Jeroen & John Zeleznikow. (2003). A model based reasoning approach for generating plausible crime scenarios from evidence. Victoria University Research Repository (Victoria University). 51–51. 25 indexed citations
19.
Keppens, Jeroen & Qiang Shen. (2002). A Calculus of Partially Ordered Preferences for Compositional Modelling and Configuration. Research Portal (King's College London). 4 indexed citations
20.
Keppens, Jeroen & Qiang Shen. (2001). Disaggregation in Compositional Modelling of Ecological Systems via Dynamic Constraint Satisfaction. Research Portal (King's College London). 31(2). 92–3. 1 indexed citations

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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