Julien Grosjean

637 total citations
70 papers, 295 citations indexed

About

Julien Grosjean is a scholar working on Molecular Biology, Artificial Intelligence and General Health Professions. According to data from OpenAlex, Julien Grosjean has authored 70 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 29 papers in Artificial Intelligence and 12 papers in General Health Professions. Recurrent topics in Julien Grosjean's work include Biomedical Text Mining and Ontologies (42 papers), Semantic Web and Ontologies (14 papers) and Natural Language Processing Techniques (13 papers). Julien Grosjean is often cited by papers focused on Biomedical Text Mining and Ontologies (42 papers), Semantic Web and Ontologies (14 papers) and Natural Language Processing Techniques (13 papers). Julien Grosjean collaborates with scholars based in France, Israel and United States. Julien Grosjean's co-authors include Stéfan Darmoni, Lina F. Soualmia, Badisse Dahamna, Christine Golbreich, Benoı̂t Thirion, Nicolas Griffon, Jean-François Gehanno, Lætitia Rollin, Matthieu Schuers and Pierre Zweigenbaum and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Julien Grosjean

57 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julien Grosjean France 11 151 121 42 38 31 70 295
Badisse Dahamna France 10 137 0.9× 119 1.0× 38 0.9× 23 0.6× 90 2.9× 41 339
Lina F. Soualmia France 11 227 1.5× 208 1.7× 40 1.0× 34 0.9× 17 0.5× 66 375
Angelo Rossi Mori Italy 10 160 1.1× 146 1.2× 37 0.9× 60 1.6× 29 0.9× 28 282
J E Rogers United Kingdom 9 202 1.3× 184 1.5× 9 0.2× 42 1.1× 20 0.6× 11 280
Nicolas Griffon France 10 129 0.9× 107 0.9× 61 1.5× 84 2.2× 38 1.2× 43 307
Thierry Hamon France 10 182 1.2× 231 1.9× 13 0.3× 42 1.1× 5 0.2× 44 329
Jungwei Fan United States 11 249 1.6× 288 2.4× 52 1.2× 82 2.2× 46 1.5× 51 533
Charles Sneiderman United States 10 230 1.5× 162 1.3× 35 0.8× 99 2.6× 57 1.8× 26 370
Andrzej Glowinski United Kingdom 6 87 0.6× 166 1.4× 31 0.7× 42 1.1× 16 0.5× 11 261
Cláudia Maria Cabral Moro Brazil 8 80 0.5× 144 1.2× 24 0.6× 34 0.9× 34 1.1× 61 299

Countries citing papers authored by Julien Grosjean

Since Specialization
Citations

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

Fields of papers citing papers by Julien Grosjean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Grosjean

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Grosjean. A scholar is included among the top collaborators of Julien Grosjean 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 Julien Grosjean. Julien Grosjean 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.
Michel, J.-P., Francesco Monti, Fabien Lamoureux, et al.. (2025). Unraveling Ceftriaxone Dosing: Free Drug Prediction, Threshold Optimization, and Model Validation. The AAPS Journal. 27(2). 50–50.
2.
Grosjean, Julien, et al.. (2024). Digital Health Education for the Future: The SaNuRN (Santé Numérique Rouen-Nice) Consortium’s Journey. JMIR Medical Education. 10. e53997–e53997. 2 indexed citations
3.
Salomon, Julie, et al.. (2024). Standardized Reasons for Consultations on a French Telemedicine Platform. Studies in health technology and informatics. 316. 530–531.
4.
Lamer, Antoine, et al.. (2024). Contribution of Open Access Databases to Intensive Care Medicine Research: Scoping Review. Journal of Medical Internet Research. 27. e57263–e57263. 3 indexed citations
6.
Grosjean, Julien, Arriel Benis, Jean-Charles Dufour, et al.. (2023). Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine. JMIR Medical Education. 10. e48393–e48393. 3 indexed citations
7.
Pelayo, Sylvia, et al.. (2022). Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study. JMIR Human Factors. 9(1). e30258–e30258. 2 indexed citations
8.
Dahamna, Badisse, et al.. (2022). Evaluation of Doc’EDS: a French semantic search tool to query health documents from a clinical data warehouse. BMC Medical Informatics and Decision Making. 22(1). 34–34. 12 indexed citations
9.
Gehanno, Jean-François, Julien Grosjean, Stéfan Darmoni, & Lætitia Rollin. (2022). Reliability of citations of medRxiv preprints in articles published on COVID-19 in the world leading medical journals. PLoS ONE. 17(8). e0264661–e0264661. 7 indexed citations
11.
Grosjean, Julien, et al.. (2020). Manual Evaluation of the Automatic Mapping of International Classification of Diseases (ICD)-11 (in French). Studies in health technology and informatics. 270. 1335–1336. 1 indexed citations
12.
Dahamna, Badisse, et al.. (2019). Word Embedding for the French Natural Language in Health Care: Comparative Study. JMIR Medical Informatics. 7(3). e12310–e12310. 8 indexed citations
13.
Gehanno, Jean-François, et al.. (2019). Analysis of Publication Trends in Childhood Obesity Research in PubMed Since 1945. Childhood Obesity. 15(4). 227–236. 10 indexed citations
14.
Massonnaud, Clément, et al.. (2019). Performance evaluation of three semantic expansions to query PubMed. Health Information & Libraries Journal. 38(2). 113–124. 2 indexed citations
15.
Soualmia, Lina F., et al.. (2019). Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study. JMIR Medical Informatics. 7(4). e13917–e13917. 10 indexed citations
16.
Dufour, Jean-Charles, Julien Grosjean, Stéfan Darmoni, et al.. (2019). ApiAppS: A Project to Study and Help Practitioners in Recommending mHealth Apps and Devices to Their Patients. Studies in health technology and informatics. 264. 1919–1920. 8 indexed citations
17.
Dahamna, Badisse, et al.. (2019). Word Embedding for French Natural Language in Healthcare: A Comparative Study. Studies in health technology and informatics. 264. 118–122. 1 indexed citations
18.
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
19.
Cabot, C., Julien Grosjean, Arnaud Lefebvre, et al.. (2014). Omic Data Modelling for Information Retrieval. 415–424. 2 indexed citations
20.
Grosjean, Julien, et al.. (2011). Health multi-terminology portal: a semantic added-value for patient safety.. HAL (Le Centre pour la Communication Scientifique Directe). 8 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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