Cyril Grouin

1.3k total citations
49 papers, 488 citations indexed

About

Cyril Grouin is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Cyril Grouin has authored 49 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 31 papers in Molecular Biology and 5 papers in Information Systems. Recurrent topics in Cyril Grouin's work include Biomedical Text Mining and Ontologies (31 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (17 papers). Cyril Grouin is often cited by papers focused on Biomedical Text Mining and Ontologies (31 papers), Topic Modeling (22 papers) and Natural Language Processing Techniques (17 papers). Cyril Grouin collaborates with scholars based in France, United States and Canada. Cyril Grouin's co-authors include Pierre Zweigenbaum, Louise Deléger, Aurélie Névéol, Bruno Falissard, Adeline Abbé, Sophie Rosset, Thierry Hamon, Anne‐Laure Ligozat, Olivier Dameron and Thomas Lavergne and has published in prestigious journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and Frontiers in Pharmacology.

In The Last Decade

Cyril Grouin

46 papers receiving 464 citations

Peers

Cyril Grouin
Comparison fields: 5 of 85
  • Artificial Intelligence 321
  • Molecular Biology 239
  • Health Information Management 59
  • Social Psychology 28
  • Public Health, Environmental and Occupational Health 28
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Citations per field, relative to Cyril Grouin
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Citations per year, relative to Cyril Grouin
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Countries citing papers authored by Cyril Grouin

Since Specialization
Citations

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

Fields of papers citing papers by Cyril Grouin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Grouin

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Grouin. A scholar is included among the top collaborators of Cyril Grouin 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 Cyril Grouin. Cyril Grouin 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
# Work Indexed citations
1 1
2 1
3 3
4 8
5 10
6
A Dataset for ICD-10 Coding of Death Certificates: Creation and Usage
4
7 19
8 6
9
Biomedical entity extraction using machine-learning based approaches
3
10
Annotation of specialized corpora using a comprehensive entity and relation scheme
8
11
Automatic Content Extraction for Designing a French Clinical Corpus.
1
12 25
13
Building A Contrasting Taxa Extractor for Relation Identification from Assertions: BIOlogical Taxonomy & Ontology Phrase Extraction System
10
14 23
15
Structured and Extended Named Entity Evaluation in Automatic Speech Transcriptions
6
16
Proposal for an Extension of Traditional Named Entitites: from Guidelines to Evaluation, an Overview
9
17
The Second Evaluation Campaign of PASSAGE on Parsing of French
1
18 39
19 16
20
Certification and Cleaning up of a Text Corpus: Towards an Evaluation of the “Grammatical” Quality of a Corpus
2

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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