Jean Clairambault

87 papers receiving 2.5k citations

Peers

Jean Clairambault
Comparison fields: 5 of 84
  • Modeling and Simulation 730
  • Endocrine and Autonomic Systems 358
  • Cardiology and Cardiovascular Medicine 268
  • Oncology 128
  • Genetics 43
Replace Benjamin Ribba with:
Benjamin Ribba France
Carole J. Proctor United Kingdom
Eric A. Sobie United States
Mine S. Cicek United States
G. Zajicek Israel
GEORGIOS S. STAMATAKOS Greece
Bernard Fertil France
Masanori Miyata Japan
Gunnar Cedersund Sweden
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Citations per field
00.5×10×20×30×39.8×
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Citations per year

Countries citing papers authored by Jean Clairambault

Since Specialization
Citations

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

Fields of papers citing papers by Jean Clairambault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010380
2 1996107
3 2015107
4 1992102
5 201499
6 201683
7 199475
8 200769
9 199367
10 199667
11 200866
12 202065
13 201263
14 201463
15 202061
16 201360
17 201660
18 201158
19 201758
20 200843

About Jean Clairambault

Jean Clairambault is a scholar working on Modeling and Simulation, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Oncology and Information Systems and Management, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (50 papers), Heart Rate Variability and Autonomic Control (12 papers), Circadian rhythm and melatonin (6 papers), Gene Regulatory Network Analysis (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (2 papers), Interdisciplinary Research and Collaboration (2 papers) and Nonlinear Differential Equations Analysis (1 paper). The work is most often cited by research in Modeling and Simulation (730 citations), Endocrine and Autonomic Systems (358 citations), Cardiology and Cardiovascular Medicine (268 citations), Oncology (128 citations) and Genetics (43 citations). Jean Clairambault has collaborated with scholars based in France, Türkiye and United Kingdom. Frequent co-authors include Françis Lévi, Sandrine Dulong, Tommaso Lorenzi, Alper Okyar, Pasquale F. Innominato, Benoît Perthame B, Rebecca H. Chisholm, Alexander Lorz, F. Kauffmann and Catherine Bonnet. Their work appears in journals such as Journal of Mathematical Biology, Journal of Theoretical Biology, ESAIM Mathematical Modelling and Numerical Analysis, Early Human Development and Mathematical and Computer Modelling.

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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