Éric Zapletal

35 papers receiving 660 citations

Peers

Éric Zapletal
Comparison fields: 5 of 99
  • Health Information Management 115
  • Health Informatics 16
  • Geriatrics and Gerontology 16
  • Medical Terminology 1
  • Family Practice 7
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Georges De Moor Belgium
Susana B. Martins United States
H C Chueh United States
Rebecca Kush United States
Jens Weber Canada
James H. Harrison United States
Henry Lowe United States
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Citations per year

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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996152
2 201757
3 201053
4 201749
5 200840
6 201637
7 201033
8 200024
9 201823
10
Unified modeling language and design of a case-based retrieval system in medical imaging.
199823
11 201221
12 199820
13
Towards content-based image retrieval in a HIS-integrated PACS.
200020
14 200517
15
Case based diagnosis in histopathology of breast tumours.
199812
16
Reviewing 741 patients records in two hours with FASTVISU.
201511
17 201711
18 201310
19
Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services.
201610
20 199710

About Éric Zapletal

Éric Zapletal is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Information Systems and Information Systems and Management, having authored 35 papers that have together received 692 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (16 papers), Semantic Web and Ontologies (9 papers), Electronic Health Records Systems (6 papers), AI in cancer detection (6 papers), AI-based Problem Solving and Planning (4 papers), Scientific Computing and Data Management (4 papers), Service-Oriented Architecture and Web Services (3 papers) and Healthcare Technology and Patient Monitoring (2 papers). The work is most often cited by research in Health Information Management (115 citations), Health Informatics (16 citations), Geriatrics and Gerontology (16 citations), Medical Terminology (1 citation) and Family Practice (7 citations). Éric Zapletal has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Patrice Degoulet, Gilles Châtellier, Marie‐Christine Jaulent, Anita Burgun, Pierre Durieux, Anne‐Sophie Jannot, Isabelle Colombet, Paul Avillach, Marie‐France Mamzer and Brigitte Sabatier. Their work appears in journals such as BMC Medical Research Methodology, Journal of the American Medical Informatics Association, International Journal of Medical Informatics, Computers in Biology and Medicine and BMC Medical Informatics and Decision Making.

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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