Jérôme Pousin

780 citations
53 papers · 559 · h-index 11

Impact in

Papers in

Jérôme Pousin

50 papers receiving 527 citations

Peers

Jérôme Pousin
Comparison fields: 5 of 90
  • Nutrition and Dietetics 165
  • Biochemistry 70
  • Computational Theory and Mathematics 123
  • Numerical Analysis 40
  • Computational Mechanics 152
Replace Peiyong Wang with:
Peiyong Wang China
Zeqing Liu China
Brajesh Kumar Singh India
Vlad Ionescu Romania
Yujie Liu China
M. E. Brewster United States
Jiankang Liu China
Costanza Conti Italy
Robert A. Gabel United States
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Jérôme Pousin relative to Peiyong Wang China Peiyong Wang's profile →
Citations per field
00.5×10×12.7×
Peiyong Wang · 1×
Citations per year

Countries citing papers authored by Jérôme Pousin

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Pousin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999126
2 199786
3 199461
4 201055
5 199625
6 201715
7 201614
8 201313
9 200713
10 200713
11 199712
12 200910
13 200510
14 20009
15 20168
16 20167
17 20167
18 20126
19 20076
20 20094

About Jérôme Pousin

Jérôme Pousin is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (16 papers), Advanced Mathematical Modeling in Engineering (13 papers), Medical Image Segmentation Techniques (9 papers), Elasticity and Material Modeling (8 papers), Numerical methods in engineering (8 papers), Contact Mechanics and Variational Inequalities (6 papers), COVID-19 epidemiological studies (4 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). The work is most often cited by research in Nutrition and Dietetics (165 citations), Biochemistry (70 citations), Computational Theory and Mathematics (123 citations), Numerical Analysis (40 citations) and Computational Mechanics (152 citations). Jérôme Pousin has collaborated with scholars based in France, Switzerland and Morocco. Frequent co-authors include Michel Lagarde, Martine Laville, Jacques Rappaz, Patrick Clarysse, C. Pachiaudi, Michael Armstrong, Joël Schaerer, Yves Renard, Martine Croset and Sylvie Normand. Their work appears in journals such as Journal of Computational and Applied Mathematics, Journal of Lipid Research, Mathematics of Computation, Advances in Computational Mathematics and Medical Image Analysis.

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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