Éric Zapletal

34 papers receiving 613 citations

Peers

Éric Zapletal
Comparison fields: 5 of 110
  • Health Information Management 163
  • Health Informatics 14
  • Geriatrics and Gerontology 39
  • Family Practice 19
  • Information Systems and Management 38
Replace Georges De Moor with:
Georges De Moor Belgium
Robert A. Jenders United States
H C Chueh United States
Marc Cuggia France
Emmanuel Chazard France
Monica M. Horvath United States
Scott P. Narus United States
Bruce N. Davidson United States
Beatriz H. Rocha United States
Henry Lowe United States
Éric Zapletal relative to Georges De Moor Belgium Georges De Moor's profile →
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Countries citing papers authored by Éric Zapletal

Since Specialization
Citations

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

Fields of papers citing papers by Éric Zapletal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Zapletal, 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 Éric Zapletal Line = papers co-authored together Éric Zapletal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996147
2 201755
3 201050
4 201744
5 200840
6 201636
7 201033
8 201822
9 200021
10 201220
11
Unified modeling language and design of a case-based retrieval system in medical imaging.
199820
12
Towards content-based image retrieval in a HIS-integrated PACS.
200017
13 199816
14 200514
15
Reviewing 741 patients records in two hours with FASTVISU.
201511
16 201710
17 201310
18
Case based diagnosis in histopathology of breast tumours.
199810
19
Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services.
20169
20
A visual coding system in histopathology and its consensual acquisition.
19996

About Éric Zapletal

Éric Zapletal is a scholar working on Molecular Biology, Artificial Intelligence, Health Information Management, Information Systems and Management and Surgery, having authored 34 papers that have together received 639 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Electronic Health Records Systems (11 papers), Semantic Web and Ontologies (9 papers), AI in cancer detection (7 papers), Scientific Computing and Data Management (5 papers), AI-based Problem Solving and Planning (3 papers), Healthcare Technology and Patient Monitoring (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Health Information Management (163 citations), Health Informatics (14 citations), Geriatrics and Gerontology (39 citations), Family Practice (19 citations) and Information Systems and Management (38 citations). Éric Zapletal has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Patrice Degoulet, Gilles Châtellier, J Ménard, Marie‐Christine Jaulent, Anita Burgun, Pierre Durieux, Natalia Grabar, Anne‐Sophie Jannot, Isabelle Colombet and Marie‐France Mamzer. Their work appears in journals such as BMC Medical Research Methodology, Computers in Biology and Medicine, Journal of the American Medical Informatics Association, International Journal of Medical Informatics and Neuropeptides.

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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