Aurélie Névéol

3.0k total citations
71 papers, 1.4k citations indexed

About

Aurélie Névéol is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Aurélie Névéol has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 53 papers in Molecular Biology and 4 papers in Language and Linguistics. Recurrent topics in Aurélie Névéol's work include Biomedical Text Mining and Ontologies (53 papers), Topic Modeling (34 papers) and Natural Language Processing Techniques (32 papers). Aurélie Névéol is often cited by papers focused on Biomedical Text Mining and Ontologies (53 papers), Topic Modeling (34 papers) and Natural Language Processing Techniques (32 papers). Aurélie Névéol collaborates with scholars based in France, United States and Netherlands. Aurélie Névéol's co-authors include Zhiyong Lu, Rezarta Islamaj, Pierre Zweigenbaum, Gabriel Murray, Guergana Savova, Hercules Dalianis, Sumithra Velupillai, Minlie Huang, Alan R. Aronson and Xavier Tannier and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Aurélie Névéol

64 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aurélie Névéol France 19 944 809 82 81 79 71 1.4k
Siddhartha Jonnalagadda United States 22 868 0.9× 644 0.8× 137 1.7× 72 0.9× 164 2.1× 51 1.5k
Rezarta Islamaj United States 18 1.4k 1.5× 1.4k 1.7× 55 0.7× 95 1.2× 43 0.5× 43 2.0k
Bevan Koopman Australia 20 750 0.8× 400 0.5× 47 0.6× 249 3.1× 94 1.2× 101 1.1k
Imre Solti United States 20 734 0.8× 676 0.8× 37 0.5× 28 0.3× 224 2.8× 35 1.4k
James Masanz United States 10 1.3k 1.3× 1.2k 1.4× 24 0.3× 42 0.5× 217 2.7× 13 1.7k
Philip V. Ogren United States 17 1.6k 1.6× 1.5k 1.8× 24 0.3× 76 0.9× 247 3.1× 25 2.1k
Guergana Savova United States 14 1.7k 1.8× 1.5k 1.9× 30 0.4× 49 0.6× 297 3.8× 27 2.3k
Majid Rastegar-Mojarad United States 18 899 1.0× 796 1.0× 11 0.1× 40 0.5× 164 2.1× 48 1.5k
François-Michel Lang United States 6 917 1.0× 929 1.1× 25 0.3× 46 0.6× 99 1.3× 7 1.2k
Louise Deléger France 18 521 0.6× 429 0.5× 30 0.4× 18 0.2× 113 1.4× 46 844

Countries citing papers authored by Aurélie Névéol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Guillaume, Bruno, et al.. (2024). Hostomytho: A GWAP for Synthetic Clinical Texts Evaluation and Annotation. SPIRE - Sciences Po Institutional REpository. 14–20. 1 indexed citations
2.
Coavoux, Maximin, et al.. (2024). Limitations of Human Identification of Automatically Generated Text. SPIRE - Sciences Po Institutional REpository. 10511–10516. 1 indexed citations
3.
Névéol, Aurélie, et al.. (2024). “You’ll be a nurse, my son!” Automatically assessing gender biases in autoregressive language models in French and Italian. Language Resources and Evaluation. 59(2). 1495–1523.
4.
Fabacher, Thibaut, et al.. (2023). Evaluating the Portability of Rheumatoid Arthritis Phenotyping Algorithms: A Case Study on French EHRs. Studies in health technology and informatics. 302. 768–772. 2 indexed citations
5.
Névéol, Aurélie, et al.. (2023). Bias Identification in Language Models is Biased. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
6.
Rance, Bastien, et al.. (2022). Privacy-preserving mimic models for clinical named entity recognition in French. Journal of Biomedical Informatics. 130. 104073–104073. 5 indexed citations
7.
Neves, Mariana, Antonio Jimeno Yepes, Aurélie Névéol, et al.. (2018). Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets. HAL (Le Centre pour la Communication Scientifique Directe).
8.
Neves, Mariana, Antonio Jimeno Yepes, & Aurélie Névéol. (2016). The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine.. Language Resources and Evaluation. 2942–2948. 19 indexed citations
9.
Lavergne, Thomas, et al.. (2016). A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage. International Conference on Computational Linguistics. 60–69. 4 indexed citations
10.
Atal, Ignacio, Jean‐David Zeitoun, Aurélie Névéol, et al.. (2016). Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries. BMC Bioinformatics. 17(1). 392–392. 10 indexed citations
11.
D’Hondt, Eva, Brigitte Grau, Stéfan Darmoni, et al.. (2014). LIMSI @ 2014 Clinical Decision Support Track. Text REtrieval Conference. 1 indexed citations
12.
Deléger, Louise, Cyril Grouin, & Aurélie Névéol. (2014). Automatic Content Extraction for Designing a French Clinical Corpus.. AMIA. 1 indexed citations
13.
Deléger, Louise, Anne‐Laure Ligozat, Cyril Grouin, Pierre Zweigenbaum, & Aurélie Névéol. (2014). Annotation of specialized corpora using a comprehensive entity and relation scheme. Language Resources and Evaluation. 1267–1274. 8 indexed citations
14.
Névéol, Aurélie, Julien Grosjean, Stéfan Darmoni, & Pierre Zweigenbaum. (2014). Language Resources for French in the Biomedical Domain. Language Resources and Evaluation. 2146–2151. 12 indexed citations
15.
Dalianis, Hercules, Aurélie Névéol, Guergana Savova, & Pierre Zweigenbaum. (2014). Didactic Panel : clinical Natural Language Processing in Languages Other Than English. American Medical Informatics Association Annual Symposium. 3 indexed citations
16.
Deléger, Louise, et al.. (2013). A Supervised Named-Entity Extraction System for Medical Text.. CLEF (Working Notes). 15 indexed citations
17.
Névéol, Aurélie, Dietrich Rebholz‐Schuhmann, & Pierre Zweigenbaum. (2013). An Overview of Terminological Resources available for French bioNLP.. CLEF (Working Notes). 1 indexed citations
18.
Darmoni, Stéfan, Lina F. Soualmia, Marie‐Christine Jaulent, et al.. (2012). Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases. Journal of the Medical Library Association JMLA. 100(3). 176–183. 28 indexed citations
19.
Névéol, Aurélie, Rezarta Islamaj, & Zhiyong Lu. (2010). Semi-automatic semantic annotation of PubMed queries: A study on quality, efficiency, satisfaction. Journal of Biomedical Informatics. 44(2). 310–318. 74 indexed citations
20.
Névéol, Aurélie, et al.. (2004). Using CISMeF MeSH “Encapsulated” terminology and a categorization algorithm for health resources. International Journal of Medical Informatics. 73(1). 57–64. 12 indexed citations

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.

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