Éric Zapletal

987 total citations
34 papers, 639 citations indexed

About

Éric Zapletal is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Éric Zapletal has authored 34 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Artificial Intelligence and 11 papers in Health Information Management. Recurrent topics in Éric Zapletal's work include Biomedical Text Mining and Ontologies (20 papers), Electronic Health Records Systems (11 papers) and Semantic Web and Ontologies (9 papers). Éric Zapletal is often cited by papers focused on Biomedical Text Mining and Ontologies (20 papers), Electronic Health Records Systems (11 papers) and Semantic Web and Ontologies (9 papers). Éric Zapletal collaborates with scholars based in France, United Kingdom and Germany. Éric Zapletal's co-authors include Patrice Degoulet, Gilles Châtellier, J Ménard, Marie‐Christine Jaulent, Anita Burgun, Natalia Grabar, Pierre Durieux, Anne‐Sophie Jannot, Isabelle Colombet and Marie‐France Mamzer and has published in prestigious journals such as PLoS ONE, Journal of the American Medical Informatics Association and BMC Medical Research Methodology.

In The Last Decade

Éric Zapletal

34 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Zapletal France 14 163 144 142 77 61 34 639
Emmanuel Chazard France 19 172 1.1× 158 1.1× 127 0.9× 92 1.2× 176 2.9× 127 1.1k
Thomas A. Oniki United States 12 164 1.0× 131 0.9× 149 1.0× 61 0.8× 88 1.4× 20 528
Todd Ferris United States 9 141 0.9× 178 1.2× 175 1.2× 97 1.3× 86 1.4× 11 854
J. Dudeck Germany 15 242 1.5× 159 1.1× 181 1.3× 79 1.0× 119 2.0× 106 717
Brecht Claerhout Spain 10 218 1.3× 193 1.3× 188 1.3× 168 2.2× 66 1.1× 31 827
M.S. Mendis Sri Lanka 6 201 1.2× 240 1.7× 223 1.6× 98 1.3× 33 0.5× 14 728
John Mattison United States 12 316 1.9× 219 1.5× 243 1.7× 117 1.5× 38 0.6× 21 749
Valentina Tibollo Italy 16 261 1.6× 242 1.7× 167 1.2× 57 0.7× 34 0.6× 39 879
Adolfo Muñoz Carrero Spain 15 130 0.8× 71 0.5× 79 0.6× 91 1.2× 43 0.7× 42 759
Jana Zvárová Czechia 16 138 0.8× 83 0.6× 202 1.4× 101 1.3× 122 2.0× 139 932

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-authorship network of co-authors of Éric Zapletal

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Zapletal. A scholar is included among the top collaborators of Éric Zapletal 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 Éric Zapletal. Éric Zapletal 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.
Bibault, Jean‐Emmanuel, Éric Zapletal, Bastien Rance, Philippe Giraud, & Anita Burgun. (2018). Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology. PLoS ONE. 13(1). e0191263–e0191263. 22 indexed citations
2.
Zapletal, Éric, et al.. (2017). A Fast Healthcare Interoperability Resources (FHIR) layer implemented over i2b2. BMC Medical Informatics and Decision Making. 17(1). 120–120. 44 indexed citations
3.
Doods, Justin, Éric Zapletal, Gilles Châtellier, et al.. (2017). Leveraging the EHR4CR platform to support patient inclusion in academic studies: challenges and lessons learned. BMC Medical Research Methodology. 17(1). 36–36. 10 indexed citations
4.
Jannot, Anne‐Sophie, Éric Zapletal, Paul Avillach, et al.. (2017). The Georges Pompidou University Hospital Clinical Data Warehouse: A 8-years follow-up experience. International Journal of Medical Informatics. 102. 21–28. 55 indexed citations
5.
Daniel, Christel, Kerstin Forsberg, Éric Zapletal, et al.. (2016). Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services.. PubMed Central. 2016. 51–9. 9 indexed citations
6.
Bruland, Philipp, Mark McGilchrist, Éric Zapletal, et al.. (2016). Common data elements for secondary use of electronic health record data for clinical trial execution and serious adverse event reporting. BMC Medical Research Methodology. 16(1). 159–159. 36 indexed citations
7.
Escudié, Jean-Baptiste, Anne‐Sophie Jannot, Éric Zapletal, et al.. (2015). Reviewing 741 patients records in two hours with FASTVISU.. PubMed. 2015. 553–9. 11 indexed citations
8.
Soto‐Rey, Iñaki, Éric Zapletal, Nadir Ammour, et al.. (2015). Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system. BMC Medical Research Methodology. 15(1). 44–44. 5 indexed citations
9.
Štefulj, Jasminka, et al.. (2013). Opioid system genes in alcoholism: A case–control study in Croatian population. Neuropeptides. 47(5). 315–319. 10 indexed citations
10.
Caruba, Thibaut, et al.. (2012). A clinical data warehouse-based process for refining medication orders alerts. Journal of the American Medical Informatics Association. 19(5). 782–785. 20 indexed citations
11.
Niès, Julie, Isabelle Colombet, Éric Zapletal, et al.. (2010). Effects of automated alerts on unnecessarily repeated serology tests in a cardiovascular surgery department: a time series analysis. BMC Health Services Research. 10(1). 70–70. 33 indexed citations
12.
Sellier, Élodie, Isabelle Colombet, Brigitte Sabatier, et al.. (2008). Effect of Alerts for Drug Dosage Adjustment in Inpatients with Renal Insufficiency. Journal of the American Medical Informatics Association. 16(2). 203–210. 40 indexed citations
13.
Steichen, Olivier, et al.. (2005). Computation of semantic similarity within an ontology of breast pathology to assist inter-observer consensus. Computers in Biology and Medicine. 36(7-8). 768–788. 14 indexed citations
14.
Zapletal, Éric, et al.. (2003). A collaborative platform for consensus sessions in pathology over Internet. Studies in health technology and informatics. 95. 224–9. 3 indexed citations
15.
Jaulent, Marie‐Christine, et al.. (2002). A customizable similarity measure between histological cases.. PubMed Central. 350–4. 3 indexed citations
16.
Zapletal, Éric, et al.. (1999). The "mediator service", a component to ease the integration of medical applications in the SynEx framework.. PubMed. 68. 768–73. 1 indexed citations
17.
Jaulent, Marie‐Christine, et al.. (1999). A visual coding system in histopathology and its consensual acquisition.. PubMed. 306–10. 6 indexed citations
18.
Jaulent, Marie‐Christine, et al.. (1998). IDEM: a Web application of case-based reasoning in histopathology. Computers in Biology and Medicine. 28(5). 473–487. 5 indexed citations
19.
Jaulent, Marie‐Christine, et al.. (1998). Unified modeling language and design of a case-based retrieval system in medical imaging.. PubMed. 887–91. 20 indexed citations
20.
Zapletal, Éric, et al.. (1994). Analysing and developing object-oriented medical applications with HELIOS.. PubMed. 45 Suppl. S23–34. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Emmanuel Chazard Breakdown of academic impact, for papers by Thomas A. Oniki Breakdown of academic impact, for papers by Todd Ferris Breakdown of academic impact, for papers by J. Dudeck Breakdown of academic impact, for papers by Brecht Claerhout Breakdown of academic impact, for papers by M.S. Mendis Breakdown of academic impact, for papers by John Mattison Breakdown of academic impact, for papers by Valentina Tibollo Breakdown of academic impact, for papers by Adolfo Muñoz Carrero Breakdown of academic impact, for papers by Jana Zvárová
Rankless by CCL
2026