Aurélie Névéol
- Health Information Management top 10%
- Artificial Intelligence top 10%
- Topic Modeling 9
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 2
- Semantic Web and Ontologies 2
- Advanced Text Analysis Techniques 1
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- Biomedical Text Mining and Ontologies 8
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- Interpreting and Communication in Healthcare 2
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- Translation Studies and Practices 1
- Co-authors
- Pierre ZweigenbaumXavier TannierKarën FortYoann DupontStéfan DarmoniAlexandrina RogozanOlivier FerretJulien Tourille
- Journals
- Yearbook of Medical Informatics (2 papers)Information Processing & Management (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- FranceDenmarkUnited States
In The Last Decade
Aurélie Névéol
11 papers receiving 121 citations
Peers
Comparison fields: 5 of 41
- Health Informatics 6
- Health Information Management 18
- Artificial Intelligence 110
- Issues, ethics and legal aspects 2
- General Social Sciences 5
Countries citing papers authored by Aurélie Névéol
This map shows the geographic impact of Aurélie Névéol'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 Aurélie Névéol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélie Névéol more than expected).
Fields of papers citing papers by Aurélie Névéol
This network shows the impact of papers produced by Aurélie Névéol. 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 Aurélie Névéol. The network helps show where Aurélie Névéol may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aurélie Névéol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 23 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 7 | |
| 5 | 2017 | 17 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 1 | |
| 8 | Clinical Information Extraction at the CLEF eHealth Evaluation lab 2016. | 2016 | 30 |
| 9 | 2015 | 28 | |
| 10 | 2015 | 7 | |
| 11 | Clinical Natural Language Processing in Languages Other Than English. | 2014 | 1 |
| 12 | Multilingual Named-Entity Recognition from Parallel Corpora. | 2013 | 1 |
| 13 | 2005 | 16 | |
| 14 | Indexation automatique de ressources de santé à l’aide d’un vocabulaire contrôlé | 2004 | 1 |
About Aurélie Névéol
Aurélie Névéol is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Management Science and Operations Research and General Health Professions, having authored 14 papers that have together received 134 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (8 papers), Interpreting and Communication in Healthcare (2 papers), Machine Learning in Healthcare (2 papers), Semantic Web and Ontologies (2 papers), Translation Studies and Practices (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (18 citations), Artificial Intelligence (110 citations), Issues, ethics and legal aspects (2 citations) and General Social Sciences (5 citations). Aurélie Névéol has collaborated with scholars based in France, Denmark and United States. Frequent co-authors include Pierre Zweigenbaum, Xavier Tannier, Karën Fort, Yoann Dupont, Stéfan Darmoni, Alexandrina Rogozan, Olivier Ferret, Julien Tourille, Kevin Bretonnel Cohen and Liadh Kelly. Their work appears in journals such as Yearbook of Medical Informatics, Information Processing & Management, Lecture notes in computer science, Zenodo (CERN European Organization for Nuclear Research) and AMIA.
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.