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 36
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- Semantic Web and Ontologies 15
- Machine Learning in Healthcare 6
- Natural Language Processing Techniques 5
- AI in cancer detection 4
- Topic Modeling 3
- Co-authors
- Brigitte Séroussi (43 shared papers)Jean-Baptiste Lamy (8 shared papers)Pierre Zweigenbaum (9 shared papers)Bruno Bachimont (6 shared papers)Jean Charlet (4 shared papers)Éric-Charles Antoine (4 shared papers)Benoît Habert (3 shared papers)Nicolas Griffon (1 shared paper)
- Journals
- Yearbook of Medical Informatics (6 papers)Methods of Information in Medicine (3 papers)Artificial Intelligence in Medicine (2 papers)Expert Systems with Applications (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- FranceUnited KingdomSpain
In The Last Decade
Jacques Bouaud
57 papers receiving 656 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 69
- Health Information Management 110
- Artificial Intelligence 368
- Radiology, Nuclear Medicine and Imaging 64
- Molecular Biology 205
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 217 | |
| 2 | 2014 | 53 | |
| 3 | 1995 | 52 | |
| 4 | 2001 | 32 | |
| 5 | Structuration and acquisition of medical knowledge. Using UMLS in the conceptual graph formalism. | 1993 | 27 |
| 6 | 2013 | 21 | |
| 7 | Corpus-based identification and refinement of semantic classes. | 1997 | 21 |
| 8 | A multi-lingual architecture for building a normalised conceptual representation from medical language. | 1995 | 21 |
| 9 | 2021 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2017 | 17 | |
| 12 | 2004 | 15 | |
| 13 | 2001 | 14 | |
| 14 | 1998 | 13 | |
| 15 | 1998 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 1999 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 1993 | 7 |
About Jacques Bouaud
Jacques Bouaud is a scholar working on Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Health Information Management and Computer Networks and Communications, having authored 59 papers that have together received 698 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (36 papers), Clinical practice guidelines implementation (19 papers), Electronic Health Records Systems (16 papers), Semantic Web and Ontologies (15 papers), Machine Learning in Healthcare (6 papers), Natural Language Processing Techniques (5 papers), AI in cancer detection (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Informatics (69 citations), Health Information Management (110 citations), Artificial Intelligence (368 citations), Radiology, Nuclear Medicine and Imaging (64 citations) and Molecular Biology (205 citations). Jacques Bouaud has collaborated with scholars based in France, United Kingdom and Spain. Frequent co-authors include Brigitte Séroussi, Jean-Baptiste Lamy, Pierre Zweigenbaum, Bruno Bachimont, Jean Charlet, Éric-Charles Antoine, Benoît Habert, Nicolas Griffon, Laurent Zelek and Vassilis Koutkias. Their work appears in journals such as Yearbook of Medical Informatics, Methods of Information in Medicine, Artificial Intelligence in Medicine, Expert Systems with Applications and International Journal of Medical Informatics.
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.