Jean-Baptiste Lamy
- Artificial Intelligence top 5%
- Molecular Biology
- Health Information Management top 1%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Jacques BouaudBrigitte SéroussiAlain VenotRosy TsopraKarima SedkiNorbert NouryVincent RiallePhilippe Le Toumelin
- Topics
- Biomedical Text Mining and Ontologies (38 papers)Semantic Web and Ontologies (20 papers)Electronic Health Records Systems (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Medical Informatics AssociationKnowledge-Based Systems
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
Jean-Baptiste Lamy
63 papers receiving 849 citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 408
- Molecular Biology 206
- Health Information Management 141
- Computer Vision and Pattern Recognition 107
- Information Systems 95
Countries citing papers authored by Jean-Baptiste Lamy
This map shows the geographic impact of Jean-Baptiste Lamy'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 Jean-Baptiste Lamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Baptiste Lamy more than expected).
Fields of papers citing papers by Jean-Baptiste Lamy
This network shows the impact of papers produced by Jean-Baptiste Lamy. 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 Jean-Baptiste Lamy. The network helps show where Jean-Baptiste Lamy may publish in the future.
Co-authorship network of co-authors of Jean-Baptiste Lamy
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Baptiste Lamy. A scholar is included among the top collaborators of Jean-Baptiste Lamy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean-Baptiste Lamy. Jean-Baptiste Lamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | ABiMed: Towards an innovative clinical decision support system for medication reviews and polypharmacy management | 1 |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 5 |
About Jean-Baptiste Lamy
Jean-Baptiste Lamy is a scholar working on Health Information Management, Geriatrics and Gerontology and Family Practice, having authored 70 papers that have together received 883 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (20 papers) and Electronic Health Records Systems (20 papers). The work is most often cited by research in Health Informatics (75 citations), Health Information Management (141 citations) and Artificial Intelligence (408 citations). Jean-Baptiste Lamy has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Jacques Bouaud, Brigitte Séroussi, Alain Venot, Rosy Tsopra, Karima Sedki, Norbert Noury, Vincent Rialle, Philippe Le Toumelin, Massoud Toussi and F. Méchaï. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Knowledge-Based 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.