Aurélie Névéol
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
Papers in
-
- Biomedical Text Mining and Ontologies 44
-
- Natural Language Processing Techniques 23
- Topic Modeling 22
- Semantic Web and Ontologies 11
- Advanced Text Analysis Techniques 6
- Text Readability and Simplification 4
- Machine Learning in Healthcare 2
- Co-authors
- Zhiyong Lu (10 shared papers)Rezarta Islamaj (5 shared papers)Pierre Zweigenbaum (10 shared papers)Gabriel Murray (1 shared paper)Guergana Savova (2 shared papers)Hercules Dalianis (2 shared papers)Sumithra Velupillai (1 shared paper)Minlie Huang (1 shared paper)
- Journals
- Language Resources and Evaluation (5 papers)Journal of Biomedical Informatics (4 papers)BMC Bioinformatics (4 papers)Journal of the American Medical Informatics Association (3 papers)Journal of Biomedical Semantics (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Aurélie Névéol
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Health Informatics 50
- Artificial Intelligence 718
- Health Information Management 51
- Molecular Biology 654
- Medical Terminology 2
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-authors
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
Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 187 | |
| 2 | 2018 | 186 | |
| 3 | 2011 | 100 | |
| 4 | 2014 | 77 | |
| 5 | 2010 | 74 | |
| 6 | 2017 | 66 | |
| 7 | 2024 | 43 | |
| 8 | 2007 | 43 | |
| 9 | 2008 | 39 | |
| 10 | 2017 | 32 | |
| 11 | 2012 | 28 | |
| 12 | Using multi-terminology indexing for the assignment of MeSH descriptors to health resources in a French online catalogue. | 2008 | 25 |
| 13 | 2014 | 25 | |
| 14 | 2010 | 25 | |
| 15 | 2011 | 24 | |
| 16 | 2010 | 23 | |
| 17 | 2009 | 20 | |
| 18 | 2017 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2019 | 17 |
About Aurélie Névéol
Aurélie Névéol is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Language and Linguistics and Information Systems, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (44 papers), Natural Language Processing Techniques (23 papers), Topic Modeling (22 papers), Semantic Web and Ontologies (11 papers), Advanced Text Analysis Techniques (6 papers), Text Readability and Simplification (4 papers), linguistics and terminology studies (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (50 citations), Artificial Intelligence (718 citations), Health Information Management (51 citations), Molecular Biology (654 citations) and Medical Terminology (2 citations). Aurélie Névéol has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Zhiyong Lu, Rezarta Islamaj, Pierre Zweigenbaum, Gabriel Murray, Guergana Savova, Hercules Dalianis, Sumithra Velupillai, Minlie Huang, Xavier Tannier and Alan R. Aronson. Their work appears in journals such as Language Resources and Evaluation, Journal of Biomedical Informatics, BMC Bioinformatics, Journal of the American Medical Informatics Association and Journal of Biomedical Semantics.
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.