Marc Cuggia

2.3k total citations
106 papers, 1.4k citations indexed

About

Marc Cuggia is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Marc Cuggia has authored 106 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 24 papers in Molecular Biology and 17 papers in Health Information Management. Recurrent topics in Marc Cuggia's work include Biomedical Text Mining and Ontologies (21 papers), Data Quality and Management (12 papers) and Data-Driven Disease Surveillance (11 papers). Marc Cuggia is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Data Quality and Management (12 papers) and Data-Driven Disease Surveillance (11 papers). Marc Cuggia collaborates with scholars based in France, United States and Martinique. Marc Cuggia's co-authors include Guillaume Bouzillé, Étienne Garin, Anne Devillers, Jean‐Luc Raoul, Éveline Boucher, Florence Le Jeune, Boris Campillo‐Gimenez, David Glasspool, Paolo Besana and Anne‐Sophie de Lajarte‐Thirouard and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Marc Cuggia

100 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Cuggia France 19 392 313 281 261 256 106 1.4k
Hsuan‐Chia Yang Taiwan 27 466 1.2× 177 0.6× 134 0.5× 373 1.4× 308 1.2× 100 2.4k
Ümit Topaloĝlu United States 24 150 0.4× 359 1.1× 72 0.3× 254 1.0× 106 0.4× 98 1.9k
Kazuhiko Ohe Japan 29 250 0.6× 203 0.6× 37 0.1× 377 1.4× 219 0.9× 196 2.8k
G. Niklas Norén Sweden 26 215 0.5× 201 0.6× 46 0.2× 368 1.4× 240 0.9× 63 2.9k
Melissa A. Robb United States 10 235 0.6× 215 0.7× 40 0.1× 126 0.5× 103 0.4× 12 2.2k
Seng Chan You South Korea 23 366 0.9× 91 0.3× 115 0.4× 184 0.7× 97 0.4× 125 2.0k
Turgay Ayer United States 27 864 2.2× 483 1.5× 82 0.3× 217 0.8× 55 0.2× 99 2.5k
Jeremy L. Warner United States 27 200 0.5× 731 2.3× 53 0.2× 537 2.1× 337 1.3× 166 2.7k
Tyler J. Loftus United States 28 609 1.6× 188 0.6× 91 0.3× 222 0.9× 72 0.3× 172 2.8k
Melissa Honour United States 11 474 1.2× 89 0.3× 113 0.4× 41 0.2× 540 2.1× 11 3.6k

Countries citing papers authored by Marc Cuggia

Since Specialization
Citations

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

Fields of papers citing papers by Marc Cuggia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Cuggia

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Cuggia. A scholar is included among the top collaborators of Marc Cuggia 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 Marc Cuggia. Marc Cuggia 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.
Cuggia, Marc, et al.. (2024). How Trueness of Clinical Decision Support Systems Based on Machine Learning Is Assessed?. Studies in health technology and informatics. 316. 813–817. 1 indexed citations
2.
Rosa, A. La, Marc Cuggia, Christophe Tournigand, et al.. (2024). “The Truth Is, We Must Miss Some”: A Qualitative Study of the Patient Eligibility Screening Process, and Automation Perspectives, for Cancer Clinical Trials. Cancer Medicine. 13(23). e70466–e70466. 1 indexed citations
3.
Bendavid, Claude, et al.. (2024). Monitoring Variability of Laboratory Results in a Clinical Data Warehouse Using Automatic Dashboard. Studies in health technology and informatics. 316. 1577–1581. 1 indexed citations
4.
5.
Cuggia, Marc, Leslie Grammatico‐Guillon, Pierre‐Antoine Gourraud, et al.. (2024). The Ouest Data Hub: An Interregional Health Data Sharing Ecosystem for Research. Studies in health technology and informatics. 316. 1679–1683. 2 indexed citations
6.
Galli, Elena, et al.. (2023). Phenotyping of heart failure with preserved ejection faction using electronic health records and echocardiography. European Heart Journal Open. 4(1). oead133–oead133. 6 indexed citations
7.
8.
Morin, Emmanuel, Béatrice Daille, Guillaume Bouzillé, et al.. (2022). Linking Biomedical Data Warehouse Records With the National Mortality Database in France: Large-scale Matching Algorithm. JMIR Medical Informatics. 10(11). e36711–e36711. 9 indexed citations
9.
Lamer, Antoine, et al.. (2022). Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study. JMIR Medical Informatics. 10(10). e38936–e38936. 5 indexed citations
10.
Bannay, Aurélie, et al.. (2021). Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case. JMIR Medical Informatics. 9(12). e29286–e29286. 4 indexed citations
11.
Bouzillé, Guillaume, et al.. (2020). A Semi-Automated Approach for Multilingual Terminology Matching: Mapping the French Version of the ICD-10 to the ICD-10 CM. Studies in health technology and informatics. 270. 18–22. 1 indexed citations
12.
Bannay, Aurélie, et al.. (2020). Comparison of Unplanned 30-Day Readmission Prediction Models, Based on Hospital Warehouse and Demographic Data. Studies in health technology and informatics. 270. 547–551. 2 indexed citations
13.
Claveau, Vincent, et al.. (2020). Supervised Learning for the ICD-10 Coding of French Clinical Narratives. Studies in health technology and informatics. 270. 427–431. 3 indexed citations
14.
Bouzillé, Guillaume, et al.. (2019). eHOP Clinical Data Warehouse: From a Prototype to the Creation of an Inter-Regional Clinical Data Centers Network. Studies in health technology and informatics. 264. 1536–1537. 26 indexed citations
15.
Bouzillé, Guillaume, et al.. (2019). An Automated Detection System of Drug-Drug Interactions from Electronic Patient Records Using Big Data Analytics. Studies in health technology and informatics. 264. 45–49. 14 indexed citations
16.
Bouzillé, Guillaume, et al.. (2018). Timeline representation of clinical data: usability and added value for pharmacovigilance. BMC Medical Informatics and Decision Making. 18(1). 86–86. 7 indexed citations
17.
Riou, Christine, et al.. (2016). Information médicale et pilotage des établissements de santé. Vol. 34(1). 45–64.
18.
Cuggia, Marc, et al.. (2015). Automatic Selection of Clinical Trials Based on A Semantic Web Approach.. PubMed. 216. 564–8. 10 indexed citations
19.
Dameron, Olivier, et al.. (2012). OWL Model of Clinical Trial Eligibility Criteria Compatible with Partially-known Information.. 2 indexed citations
20.
Besana, Paolo, et al.. (2010). From french EHR to NCI ontology via UMLS. 222–223. 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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