Jérémie Despraz

424 citations
14 papers · 270 · 1 hit paper · h-index 6

Impact in

Papers in

Jérémie Despraz

10 papers receiving 262 citations

Jérémie Despraz's Hit Papers

A scoping review of privacy and utility metrics in medical synthetic data 2025 · 28 citations
280Years since publication510152025

Peers

Jérémie Despraz
Comparison fields: 5 of 66
  • Architecture 19
  • Civil and Structural Engineering 120
  • Health Informatics 6
  • Mechanical Engineering 125
  • Artificial Intelligence 56
Replace Raman Goyal with:
Raman Goyal United States
Z.H. Zuo Australia
Oscar Cardona-Morales Colombia
E. Russell Johnston United States
Eurípedes Guilherme de Oliveira Nóbrega Brazil
Chris Perry United States
Shashank Kushwaha United States
Yoshihiro Ohnishi Japan
Emmanuel Iarussi Argentina
Shiwei Liu China
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Citations per field
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Citations per year

Countries citing papers authored by Jérémie Despraz

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Despraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014194
2
A scoping review of privacy and utility metrics in medical synthetic data
Hit paper breakdown →
202528
3 202218
4 202310
5 20237
6 20176
7 20222
8 20242
9 20252
10 20241
11 20250
12 20250
13 20240
14 20250

About Jérémie Despraz

Jérémie Despraz is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health, Health Information Management, Computer Vision and Pattern Recognition and Epidemiology, having authored 14 papers that have together received 270 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Ethics in Clinical Research (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Neural Network Applications (1 paper), Artificial Intelligence in Healthcare (1 paper), Cell Image Analysis Techniques (1 paper), Neonatal and Maternal Infections (1 paper) and Clinical Reasoning and Diagnostic Skills (1 paper). The work is most often cited by research in Architecture (19 citations), Civil and Structural Engineering (120 citations), Health Informatics (6 citations), Mechanical Engineering (125 citations) and Artificial Intelligence (56 citations). Jérémie Despraz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andrew P. Sabelhaus, Atıl Işçen, Benjamin Schrauwen, Ken Caluwaerts, Jonathan Bruce, Vytas SunSpiral, Jean Louis Raisaro, Fabian Praßer, Cédric Mabire and Tapio Niemi. Their work appears in journals such as npj Digital Medicine, Pediatric Research, CIN Computers Informatics Nursing, Journal for ImmunoTherapy of Cancer and Journal of The Royal Society Interface.

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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