Nicolas Jay
Impact in
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- Rough Sets and Fuzzy Logic
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- Retinal and Macular Surgery
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Biomedical Text Mining and Ontologies 8
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- Data Mining Algorithms and Applications 9
- Co-authors
- Benjamin Haibe‐Kains (2 shared papers)Simon Papillon‐Cavanagh (2 shared papers)Gianluca Bontempi (2 shared papers)Nehmé El-Hachem (2 shared papers)Catharina Olsen (2 shared papers)Laurent Peyrin‐Biroulet (1 shared paper)Silvio Danese (1 shared paper)Gioacchino Natoli (1 shared paper)
In The Last Decade
Nicolas Jay
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 145
- Computational Theory and Mathematics 129
- Radiology, Nuclear Medicine and Imaging 154
- Neurology 77
- Health Informatics 7
- Immunology and Allergy 28
Countries citing papers authored by Nicolas Jay
This map shows the geographic impact of Nicolas Jay'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 Nicolas Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Jay more than expected).
Fields of papers citing papers by Nicolas Jay
This network shows the impact of papers produced by Nicolas Jay. 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 Nicolas Jay. The network helps show where Nicolas Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Jay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 202 | |
| 2 | 2019 | 122 | |
| 3 | 2008 | 121 | |
| 4 | 2008 | 98 | |
| 5 | 2006 | 71 | |
| 6 | 2004 | 67 | |
| 7 | 2008 | 49 | |
| 8 | 2017 | 48 | |
| 9 | 2013 | 46 | |
| 10 | 2008 | 37 | |
| 11 | 2013 | 36 | |
| 12 | 2018 | 31 | |
| 13 | 2013 | 26 | |
| 14 | 2015 | 26 | |
| 15 | 2014 | 22 | |
| 16 | 2004 | 20 | |
| 17 | 2014 | 18 | |
| 18 | 2018 | 15 | |
| 19 | 2008 | 13 | |
| 20 | 2015 | 11 |
About Nicolas Jay
Nicolas Jay is a scholar working on Molecular Biology, Information Systems, Signal Processing, Artificial Intelligence and Computational Theory and Mathematics, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Data Mining Algorithms and Applications (9 papers), Biomedical Text Mining and Ontologies (8 papers), Rough Sets and Fuzzy Logic (6 papers), Semantic Web and Ontologies (5 papers), Wikis in Education and Collaboration (4 papers), Healthcare Systems and Practices (3 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Computational Theory and Mathematics (129 citations), Radiology, Nuclear Medicine and Imaging (154 citations), Neurology (77 citations), Health Informatics (7 citations) and Immunology and Allergy (28 citations). Nicolas Jay has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Benjamin Haibe‐Kains, Simon Papillon‐Cavanagh, Gianluca Bontempi, Nehmé El-Hachem, Catharina Olsen, Laurent Peyrin‐Biroulet, Silvio Danese, Gioacchino Natoli, Pablo A. Olivera and Françis Guillemin. Their work appears in journals such as BMC Medical Informatics and Decision Making, Toxicological Sciences, Bioinformatics, Nature Communications and Nature Reviews Gastroenterology & Hepatology.
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.