Bart Bogaerts

1.1k citations
62 papers · 465 · h-index 9

Impact in

Papers in

Bart Bogaerts

51 papers receiving 452 citations

Peers

Bart Bogaerts
Comparison fields: 5 of 78
  • Artificial Intelligence 317
  • Computational Theory and Mathematics 62
  • Computer Networks and Communications 84
  • Software 13
  • Computational Mathematics 2
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Sujith Ravi United States
Jo Devriendt Belgium
Joachim Jansen Belgium
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Sachindra Joshi India
Venkatesh Srinivasan Canada
Klaus U. Schulz Germany
Dina Goldin United States
Rajshekhar Sunderraman United States
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Citations per field
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Citations per year

Countries citing papers authored by Bart Bogaerts

Since Specialization
Citations

This map shows the geographic impact of Bart Bogaerts'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 Bart Bogaerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Bogaerts more than expected).

Fields of papers citing papers by Bart Bogaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart Bogaerts. 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 Bart Bogaerts. The network helps show where Bart Bogaerts may publish in the future.

Co-authors

The 25 scholars most cited alongside Bart Bogaerts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bart Bogaerts Line = papers co-authored together Bart Bogaerts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, {IJCAI} 2016
2016253
2 201518
3 201414
4 201314
5
Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning
201613
6 20228
7 20168
8 20218
9 20128
10
Solving QBF Instances With Nested SAT Solvers
20167
11 20177
12 20166
13 20216
14
Analyzing manuscript traditions using constraint-based data mining
20126
15 20185
16 20195
17 20165
18 20205
19
FO(C): A knowledge representation language of causality
20145
20 20174

About Bart Bogaerts

Bart Bogaerts is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Software, having authored 62 papers that have together received 465 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (36 papers), Semantic Web and Ontologies (26 papers), Multi-Agent Systems and Negotiation (15 papers), Constraint Satisfaction and Optimization (14 papers), Logic, programming, and type systems (11 papers), Advanced Algebra and Logic (7 papers), AI-based Problem Solving and Planning (5 papers) and Formal Methods in Verification (5 papers). The work is most often cited by research in Artificial Intelligence (317 citations), Computational Theory and Mathematics (62 citations), Computer Networks and Communications (84 citations), Software (13 citations) and Computational Mathematics (2 citations). Bart Bogaerts has collaborated with scholars based in Belgium, Finland and Denmark. Frequent co-authors include Marc Denecker, Jo Devriendt, Joachim Jansen, Gerda Janssens, Joost Vennekens, Tomi Janhunen, Luı́s Cruz-Filipe, Maurice Bruynooghe, Tias Guns and Luciano Caroprese. Their work appears in journals such as Theory and Practice of Logic Programming, Artificial Intelligence, ACM Transactions on Computational Logic, Journal of Artificial Intelligence Research and IEEE Intelligent Systems.

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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