Jonathan Crabbé
Impact in
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- Explainable Artificial Intelligence (XAI)
- Wireless Signal Modulation Classification
- Machine Learning in Healthcare
Papers in
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- Neural Networks and Applications 1
- Explainable Artificial Intelligence (XAI) 1
- Machine Learning in Healthcare 1
- Topic Modeling 1
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- Model Reduction and Neural Networks 1
- Co-authors
- Zhaozhi Qian (1 shared paper)Fergus Imrie (1 shared paper)Mihaela van der Schaar (2 shared papers)Yao Zhang (1 shared paper)William R. Zame (1 shared paper)Michal Shimoni (1 shared paper)
- Journals
- arXiv (Cornell University) (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Jonathan Crabbé
2 papers receiving 8 citations
Peers
Comparison fields: 5 of 11
- Health Informatics 1
- Artificial Intelligence 8
- Health Information Management 1
- Signal Processing 2
- Experimental and Cognitive Psychology 1
Countries citing papers authored by Jonathan Crabbé
This map shows the geographic impact of Jonathan Crabbé'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 Jonathan Crabbé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Crabbé more than expected).
Fields of papers citing papers by Jonathan Crabbé
This network shows the impact of papers produced by Jonathan Crabbé. 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 Jonathan Crabbé. The network helps show where Jonathan Crabbé may publish in the future.
Co-authors
The 6 scholars most cited alongside Jonathan Crabbé, 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 | 2021 | 7 | |
| 2 | Learning outside the Black-Box: The pursuit of interpretable models | 2020 | 1 |
| 3 | 2023 | 0 |
About Jonathan Crabbé
Jonathan Crabbé is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Ocean Engineering, Media Technology and Infectious Diseases, having authored 3 papers that have together received 8 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (1 paper), Advanced Image Fusion Techniques (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Neural Networks and Applications (1 paper), Model Reduction and Neural Networks (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), Machine Learning in Healthcare (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (1 citation), Artificial Intelligence (8 citations), Health Information Management (1 citation), Signal Processing (2 citations) and Experimental and Cognitive Psychology (1 citation). Jonathan Crabbé has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar, Yao Zhang, William R. Zame and Michal Shimoni. Their work appears in journals such as arXiv (Cornell University).
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.