Benoı̂t Thirion

48 papers receiving 618 citations

Peers

Benoı̂t Thirion
Comparison fields: 5 of 89
  • Medical Terminology 15
  • Statistics, Probability and Uncertainty 58
  • Artificial Intelligence 156
  • Information Systems 91
  • Health Information Management 17
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Citations per year

Countries citing papers authored by Benoı̂t Thirion

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Thirion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoı̂t Thirion, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoı̂t Thirion Line = papers co-authored together Benoı̂t Thirion links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200078
2 199377
3 199447
4 201139
5 199839
6
Reading factor: a new bibliometric criterion for managing digital libraries.
200234
7 200033
8 201233
9 201228
10 200427
11
An introduction to the Semantic Web for health sciences librarians.
200627
12
The use of Dublin Core metadata in a structured health resource guide on the internet.
200119
13 200615
14 200914
15
A new approach for clinical biological assay comparison and standardization: application of principal component analysis to a multicenter study of twenty-one carcinoembryonic antigen immunoassay kits.
199914
16
Simplified access to MeSH tree structures on CISMeF.
199913
17 200412
18
NetScoring : critères de qualité de l'information de santé sur l'Internet
199710
19
Reading factor as a credible alternative to impact factor: a preliminary study
20009
20
A study comparing centralized CD-ROM and decentralized intranet access to MEDLINE.
20009

About Benoı̂t Thirion

Benoı̂t Thirion is a scholar working on Molecular Biology, Artificial Intelligence, Medical Terminology, General Health Professions and Information Systems, having authored 57 papers that have together received 670 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Medical Research and Practices (11 papers), Semantic Web and Ontologies (10 papers), Health Literacy and Information Accessibility (7 papers), Web visibility and informetrics (7 papers), Web Data Mining and Analysis (5 papers), Natural Language Processing Techniques (4 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Medical Terminology (15 citations), Statistics, Probability and Uncertainty (58 citations), Artificial Intelligence (156 citations), Information Systems (91 citations) and Health Information Management (17 citations). Benoı̂t Thirion has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Stéfan Darmoni, Jean-François Gehanno, Jean‐Philippe Leroy, Lina F. Soualmia, Henk Portengen, Badisse Dahamna, J. Alexieva-Figusch, W L van Putten, John A. Foekens and J.G.M. Klijn. Their work appears in journals such as Occupational and Environmental Medicine, Methods of Information in Medicine, BMC Medical Informatics and Decision Making, Journal of Clinical Oncology and Medical Teacher.

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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