Jacques Bouaud
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Biomedical Text Mining and Ontologies 40
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- Clinical practice guidelines implementation 27
- Co-authors
- Brigitte Séroussi (56 shared papers)Jean-Baptiste Lamy (9 shared papers)Pierre Zweigenbaum (6 shared papers)Bruno Bachimont (5 shared papers)Jean Charlet (4 shared papers)Nicolas Griffon (1 shared paper)Vassilis Koutkias (4 shared papers)Nekane Larburu (6 shared papers)
- Journals
- Yearbook of Medical Informatics (6 papers)Methods of Information in Medicine (3 papers)Artificial Intelligence in Medicine (2 papers)British Journal of Cancer (1 paper)International Journal of Computational Intelligence Systems (1 paper)
- Partner nations
- FranceSpainUnited Kingdom
In The Last Decade
Jacques Bouaud
68 papers receiving 643 citations
Peers
Comparison fields: 5 of 116
- Health Informatics 76
- Health Information Management 172
- Artificial Intelligence 345
- Family Practice 14
- Public Health, Environmental and Occupational Health 120
Countries citing papers authored by Jacques Bouaud
This map shows the geographic impact of Jacques Bouaud'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 Jacques Bouaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Bouaud more than expected).
Fields of papers citing papers by Jacques Bouaud
This network shows the impact of papers produced by Jacques Bouaud. 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 Jacques Bouaud. The network helps show where Jacques Bouaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Bouaud, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 183 | |
| 2 | 2014 | 52 | |
| 3 | 1995 | 44 | |
| 4 | 2015 | 28 | |
| 5 | Structuration and acquisition of medical knowledge. Using UMLS in the conceptual graph formalism. | 1993 | 22 |
| 6 | 2013 | 21 | |
| 7 | 2021 | 19 | |
| 8 | A multi-lingual architecture for building a normalised conceptual representation from medical language. | 1995 | 19 |
| 9 | 2015 | 17 | |
| 10 | Corpus-based identification and refinement of semantic classes. | 1997 | 16 |
| 11 | 2017 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2001 | 15 | |
| 14 | 2004 | 12 | |
| 15 | 1998 | 8 | |
| 16 | Extending an existing specialized semantic lexicon | 1998 | 7 |
| 17 | 2017 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2018 | 7 |
About Jacques Bouaud
Jacques Bouaud is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Artificial Intelligence, Health Information Management and General Health Professions, having authored 69 papers that have together received 671 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (40 papers), Clinical practice guidelines implementation (27 papers), Electronic Health Records Systems (21 papers), Semantic Web and Ontologies (14 papers), Machine Learning in Healthcare (9 papers), Natural Language Processing Techniques (4 papers), AI in cancer detection (4 papers) and Chronic Disease Management Strategies (4 papers). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (172 citations), Artificial Intelligence (345 citations), Family Practice (14 citations) and Public Health, Environmental and Occupational Health (120 citations). Jacques Bouaud has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Brigitte Séroussi, Jean-Baptiste Lamy, Pierre Zweigenbaum, Bruno Bachimont, Jean Charlet, Nicolas Griffon, Vassilis Koutkias, Nekane Larburu, Benoît Habert and Joël Belmin. Their work appears in journals such as Yearbook of Medical Informatics, Methods of Information in Medicine, Artificial Intelligence in Medicine, British Journal of Cancer and International Journal of Computational Intelligence 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.