Aurélie Névéol
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Statistics, Probability and Uncertainty top 5%
- Information Systems top 10%
- Health Information Management top 2%
- Co-authors
- Zhiyong LuRezarta IslamajPierre ZweigenbaumGabriel MurrayHercules DalianisGuergana SavovaSumithra VelupillaiMinlie Huang
- Topics
- Biomedical Text Mining and Ontologies (53 papers)Topic Modeling (34 papers)Natural Language Processing Techniques (32 papers)
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Aurélie Névéol
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 944
- Molecular Biology 809
- Statistics, Probability and Uncertainty 82
- Information Systems 81
- Health Information Management 79
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 of co-authors of Aurélie Névéol
This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Névéol. A scholar is included among the top collaborators of Aurélie Névéol 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 Aurélie Névéol. Aurélie Névéol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets | 0 |
| 6 | Reproducibility in Biomedical Natural Language Processing | 1 |
| 7 | 4 | |
| 8 | A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage | 4 |
| 9 | The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine. | 19 |
| 10 | 10 | |
| 11 | LIMSI @ 2014 Clinical Decision Support Track | 1 |
| 12 | Language Resources for French in the Biomedical Domain | 12 |
| 13 | Didactic Panel : clinical Natural Language Processing in Languages Other Than English | 3 |
| 14 | Annotation of specialized corpora using a comprehensive entity and relation scheme | 8 |
| 15 | Automatic Content Extraction for Designing a French Clinical Corpus. | 1 |
| 16 | An Overview of Terminological Resources available for French bioNLP. | 1 |
| 17 | A Supervised Named-Entity Extraction System for Medical Text. | 15 |
| 18 | 28 | |
| 19 | 74 | |
| 20 | 13 |
About Aurélie Névéol
Aurélie Névéol is a scholar working on Medical Terminology, Artificial Intelligence and Health Informatics, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (53 papers), Topic Modeling (34 papers) and Natural Language Processing Techniques (32 papers). The work is most often cited by research in Health Informatics (75 citations), Artificial Intelligence (944 citations) and Medical Terminology (6 citations). Aurélie Névéol has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Zhiyong Lu, Rezarta Islamaj, Pierre Zweigenbaum, Gabriel Murray, Hercules Dalianis, Guergana Savova, Sumithra Velupillai, Minlie Huang, Alan R. Aronson and Xavier Tannier. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and PLoS Computational Biology.
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.