Nicolas Jay
Impact in
- Ophthalmology top 5%
- Intraocular Surgery and Lenses
- Glaucoma and retinal disorders
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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 4
- Co-authors
- Gianluca Bontempi (2 shared papers)Nehmé El-Hachem (2 shared papers)Catharina Olsen (2 shared papers)Benjamin Haibe‐Kains (2 shared papers)Simon Papillon‐Cavanagh (2 shared papers)Silvio Danese (1 shared paper)Pablo A. Olivera (1 shared paper)Gioacchino Natoli (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)BMC Medical Informatics and Decision Making (2 papers)Journal of the American Medical Informatics Association (1 paper)Scientific Reports (1 paper)American Journal of Ophthalmology (1 paper)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Nicolas Jay
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 144
- Ophthalmology 93
- Radiology, Nuclear Medicine and Imaging 186
- Health Informatics 10
- Neurology 110
- Transplantation 18
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 187 | |
| 2 | 2008 | 114 | |
| 3 | 2019 | 111 | |
| 4 | 2008 | 94 | |
| 5 | 2006 | 71 | |
| 6 | 2004 | 63 | |
| 7 | 2017 | 48 | |
| 8 | 2013 | 45 | |
| 9 | 2008 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2018 | 31 | |
| 12 | 2013 | 26 | |
| 13 | 2014 | 20 | |
| 14 | 2004 | 19 | |
| 15 | 2015 | 19 | |
| 16 | 2014 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 9 |
About Nicolas Jay
Nicolas Jay is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, General Health Professions, Computational Theory and Mathematics and Surgery, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Biomedical Text Mining and Ontologies (4 papers), Data Mining Algorithms and Applications (4 papers), Semantic Web and Ontologies (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Healthcare Systems and Practices (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Nosocomial Infections in ICU (2 papers). The work is most often cited by research in Ophthalmology (93 citations), Radiology, Nuclear Medicine and Imaging (186 citations), Health Informatics (10 citations), Neurology (110 citations) and Transplantation (18 citations). Nicolas Jay has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Gianluca Bontempi, Nehmé El-Hachem, Catharina Olsen, Benjamin Haibe‐Kains, Simon Papillon‐Cavanagh, Silvio Danese, Pablo A. Olivera, Gioacchino Natoli, Laurent Peyrin‐Biroulet and Françis Guillemin. Their work appears in journals such as Toxicological Sciences, BMC Medical Informatics and Decision Making, Journal of the American Medical Informatics Association, Scientific Reports and American Journal of Ophthalmology.
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.