Xavier Tannier

3.1k total citations · 1 hit paper
66 papers, 1.4k citations indexed

About

Xavier Tannier is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Xavier Tannier has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 19 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Xavier Tannier's work include Topic Modeling (28 papers), Natural Language Processing Techniques (21 papers) and Biomedical Text Mining and Ontologies (15 papers). Xavier Tannier is often cited by papers focused on Topic Modeling (28 papers), Natural Language Processing Techniques (21 papers) and Biomedical Text Mining and Ontologies (15 papers). Xavier Tannier collaborates with scholars based in France, Switzerland and United States. Xavier Tannier's co-authors include Mahmoud Al‐Ayyoub, Suresh Manandhar, Ion Androutsopoulos, Natalia Loukachevitch, Evgeny Kotelnikov, Dimitrios Galanis, Salud María Jiménez-Zafra, Véronique Hoste, Bing Qin and Yanyan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xavier Tannier

60 papers receiving 1.3k citations

Hit Papers

SemEval-2016 Task 5: Aspect Based Sentiment Analysis 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xavier Tannier France 13 1.1k 151 140 68 63 66 1.4k
Shaodian Zhang China 14 667 0.6× 269 1.8× 123 0.9× 73 1.1× 13 0.2× 26 910
Bevan Koopman Australia 20 750 0.7× 400 2.6× 249 1.8× 25 0.4× 10 0.2× 101 1.1k
Jean Louis Raisaro Switzerland 13 467 0.4× 77 0.5× 124 0.9× 59 0.9× 9 0.1× 41 680
Ioannis Korkontzelos United Kingdom 17 563 0.5× 125 0.8× 181 1.3× 77 1.1× 7 0.1× 75 975
Qiao Jin United States 16 647 0.6× 273 1.8× 42 0.3× 19 0.3× 14 0.2× 51 1.2k
Guido Zuccon Australia 22 1.1k 1.0× 445 2.9× 479 3.4× 59 0.9× 16 0.3× 193 1.7k
Aurélie Névéol France 19 944 0.8× 809 5.4× 81 0.6× 30 0.4× 15 0.2× 71 1.4k
Ben Wellner United States 18 1.0k 0.9× 269 1.8× 179 1.3× 32 0.5× 8 0.1× 33 1.3k
裕二 池谷 United States 10 948 0.8× 534 3.5× 46 0.3× 26 0.4× 10 0.2× 19 1.3k

Countries citing papers authored by Xavier Tannier

Since Specialization
Citations

This map shows the geographic impact of Xavier Tannier'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 Xavier Tannier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Tannier more than expected).

Fields of papers citing papers by Xavier Tannier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xavier Tannier. 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 Xavier Tannier. The network helps show where Xavier Tannier may publish in the future.

Co-authorship network of co-authors of Xavier Tannier

This figure shows the co-authorship network connecting the top 25 collaborators of Xavier Tannier. A scholar is included among the top collaborators of Xavier Tannier 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 Xavier Tannier. Xavier Tannier 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.
2.
Tannier, Xavier, et al.. (2024). Improving Interpretability of Leucocyte Classification with Multimodal Network. Studies in health technology and informatics. 316. 1098–1102. 1 indexed citations
3.
Berthelot, Emmanuelle, et al.. (2024). Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions. Journal of the American Medical Informatics Association. 31(6). 1280–1290. 5 indexed citations
4.
Dia, Abdoulaye Kane, Pierre‐Yves Boëlle, Lassana Konaté, et al.. (2024). Predicting the age of field Anopheles mosquitoes using mass spectrometry and deep learning. Science Advances. 10(19). eadj6990–eadj6990. 8 indexed citations
5.
Tannier, Xavier, et al.. (2024). Development and Validation of a Natural Language Processing Algorithm to Pseudonymize Documents in the Context of a Clinical Data Warehouse. Methods of Information in Medicine. 63(01/02). 21–34. 7 indexed citations
6.
Erol, Çiğdem, et al.. (2024). Prediction of amputation risk of patients with diabetic foot using classification algorithms: A clinical study from a tertiary center. International Wound Journal. 21(1). e14556–e14556. 5 indexed citations
7.
Tannier, Xavier, et al.. (2023). Panorama des entrepôts de données hospitaliers dans les CHU/CHR de France. Revue d Épidémiologie et de Santé Publique. 71. 101463–101463.
8.
Flicoteaux, Rémi, Guillaume Lamé, Romain Bey, et al.. (2023). Development of a natural language processing model for deriving breast cancer quality indicators : A cross-sectional, multicenter study. Revue d Épidémiologie et de Santé Publique. 71(6). 102189–102189. 2 indexed citations
9.
Lamé, Guillaume, Johanna Wassermann, Romain Bey, et al.. (2023). Impact of the COVID‐19 pandemic on clinical presentation, treatments, and outcomes of new breast cancer patients: A retrospective multicenter cohort study. Cancer Medicine. 12(22). 20918–20929. 4 indexed citations
10.
Normand, Anne‐Cécile, Cécile Nabet, Jean‐Yves Brossas, et al.. (2023). Improving the Detection of Epidemic Clones in Candida parapsilosis Outbreaks by Combining MALDI-TOF Mass Spectrometry and Deep Learning Approaches. Microorganisms. 11(4). 1071–1071. 5 indexed citations
11.
Théllier, Marc, et al.. (2022). Real-life evaluation of deep learning models trained on two datasets for Plasmodium falciparum detection with thin blood smear images at 500x magnification. Informatics in Medicine Unlocked. 35. 101132–101132. 8 indexed citations
12.
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
14.
Tannier, Xavier, Camille Perchoux, Beverley Balkau, et al.. (2020). Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019. BMJ Open Diabetes Research & Care. 8(1). e001190–e001190. 11 indexed citations
15.
Lerner, Ivan, Nicolás Paris, & Xavier Tannier. (2019). Terminologies augmented recurrent neural network model for clinical\n named entity recognition. arXiv (Cornell University). 25 indexed citations
16.
Tourille, Julien, Olivier Ferret, Xavier Tannier, & Aurélie Névéol. (2017). LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives. HAL (Le Centre pour la Communication Scientifique Directe). 597–602. 17 indexed citations
17.
Tannier, Xavier & Véronique Moriceau. (2013). Building Event Threads out of Multiple News Articles. 958–967. 5 indexed citations
18.
Bellot, Patrice, Antoine Doucet, Shlomo Geva, et al.. (2013). Overview of INEX 2013. Open Research Online (The Open University). 4 indexed citations
19.
Grouin, Cyril, Natalia Grabar, Thierry Hamon, et al.. (2013). Eventual situations for timeline extraction from clinical reports. Journal of the American Medical Informatics Association. 20(5). 820–827. 23 indexed citations
20.
Tannier, Xavier & Véronique Moriceau. (2009). FIDJI @ ResPubliQA 2010.. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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