Bart Jacobs
- Artificial Intelligence top 5%
- Logic, Reasoning, and Knowledge 14
- Logic, programming, and type systems 8
- Bayesian Modeling and Causal Inference 6
- Privacy-Preserving Technologies in Data 4
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- Advanced Algebra and Logic 11
- Information Systems top 5%
- Computer Science Applications top 10%
- Signal Processing top 10%
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- Quantum Mechanics and Applications 8
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- Homotopy and Cohomology in Algebraic Topology 5
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- Privacy, Security, and Data Protection 4
- Co-authors
- Flavio D. GarciaJaap-Henk HoepmanBen SchoutenJ. PopmaChris HeunenFabio ZanasiAna SokolovaJosé van Dijck
- Journals
- Mathematical Structures in Computer Science (2 papers)Journal of Logic and Computation (2 papers)Electronic Notes in Theoretical Computer Science (12 papers)
- Partner nations
- NetherlandsJapanUnited Kingdom
In The Last Decade
Bart Jacobs
49 papers receiving 580 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 352
- Computational Theory and Mathematics 164
- Information Systems 150
- Computer Science Applications 34
- Signal Processing 52
Countries citing papers authored by Bart Jacobs
This map shows the geographic impact of Bart Jacobs'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 Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Jacobs more than expected).
Fields of papers citing papers by Bart Jacobs
This network shows the impact of papers produced by Bart Jacobs. 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 Jacobs. The network helps show where Bart Jacobs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bart Jacobs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 16 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 0 | |
| 9 | 2017 | 21 | |
| 10 | 2015 | 6 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 11 | |
| 13 | 2012 | 14 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 11 | |
| 16 | 2009 | 3 | |
| 17 | Categorical views on computations on trees | 2007 | 8 |
| 18 | 2004 | 3 | |
| 19 | 2002 | 2 | |
| 20 | Voting using Java Card smart cards: A case study | 2002 | 1 |
About Bart Jacobs
Bart Jacobs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Signal Processing and Algebra and Number Theory, having authored 50 papers that have together received 640 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (14 papers), Advanced Algebra and Logic (11 papers), Quantum Mechanics and Applications (8 papers), Logic, programming, and type systems (8 papers), Bayesian Modeling and Causal Inference (6 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Privacy, Security, and Data Protection (4 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Artificial Intelligence (352 citations), Computational Theory and Mathematics (164 citations), Information Systems (150 citations), Computer Science Applications (34 citations) and Signal Processing (52 citations). Bart Jacobs has collaborated with scholars based in Netherlands, Japan and United Kingdom. Frequent co-authors include Flavio D. Garcia, Jaap-Henk Hoepman, Ben Schouten, J. Popma, Chris Heunen, Fabio Zanasi, Ana Sokolova, José van Dijck, Tarmo Uustalu and Tamar Sharon. Their work appears in journals such as Mathematical Structures in Computer Science, Journal of Logic and Computation, Electronic Notes in Theoretical Computer Science, Journal of Parkinson s Disease and Image and Vision Computing.
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.