Jacques Demongeot
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Aging top 5%
Papers in
-
- Gene Regulatory Network Analysis 46
- RNA and protein synthesis mechanisms 40
- Genomics and Phylogenetic Studies 19
- RNA modifications and cancer 15
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- COVID-19 epidemiological studies 35
- Co-authors
- Hervé Seligmann (25 shared papers)Olivier Cinquin (3 shared papers)Norbert Noury (10 shared papers)Nicolas Glade (19 shared papers)Nicolas Vuillerme (32 shared papers)Loïc Forest (13 shared papers)G. Virone (7 shared papers)Mustapha Rachdi (27 shared papers)
In The Last Decade
Jacques Demongeot
313 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 184
- Modeling and Simulation 599
- Aging 56
- Computer Vision and Pattern Recognition 565
- Physical Therapy, Sports Therapy and Rehabilitation 108
- Molecular Biology 1.7k
Countries citing papers authored by Jacques Demongeot
This map shows the geographic impact of Jacques Demongeot'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 Jacques Demongeot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques Demongeot more than expected).
Fields of papers citing papers by Jacques Demongeot
This network shows the impact of papers produced by Jacques Demongeot. 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 Jacques Demongeot. The network helps show where Jacques Demongeot may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacques Demongeot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 325 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 142 | |
| 2 | 2002 | 134 | |
| 3 | 2013 | 124 | |
| 4 | 2009 | 100 | |
| 5 | 1987 | 97 | |
| 6 | 2002 | 93 | |
| 7 | 2020 | 90 | |
| 8 | 2018 | 85 | |
| 9 | Dynamical Systems and Cellular Automata | 1985 | 75 |
| 10 | 2002 | 71 | |
| 11 | 2008 | 70 | |
| 12 | 2002 | 67 | |
| 13 | 2002 | 67 | |
| 14 | 2021 | 67 | |
| 15 | 2005 | 67 | |
| 16 | 2006 | 63 | |
| 17 | 2004 | 62 | |
| 18 | 2000 | 61 | |
| 19 | 2007 | 57 | |
| 20 | 2012 | 54 |
About Jacques Demongeot
Jacques Demongeot is a scholar working on Molecular Biology, Modeling and Simulation, Genetics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 325 papers that have together received 5.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (46 papers), RNA and protein synthesis mechanisms (40 papers), COVID-19 epidemiological studies (35 papers), Context-Aware Activity Recognition Systems (19 papers), Genomics and Phylogenetic Studies (19 papers), Evolution and Genetic Dynamics (18 papers), RNA modifications and cancer (15 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (12 papers). The work is most often cited by research in Modeling and Simulation (599 citations), Aging (56 citations), Computer Vision and Pattern Recognition (565 citations), Physical Therapy, Sports Therapy and Rehabilitation (108 citations) and Molecular Biology (1.7k citations). Jacques Demongeot has collaborated with scholars based in France, Chile and Israel. Frequent co-authors include Hervé Seligmann, Olivier Cinquin, Norbert Noury, Nicolas Glade, Nicolas Vuillerme, Loïc Forest, G. Virone, Mustapha Rachdi, Julio Aracena and Olivier Cohen. Their work appears in journals such as Acta Biotheoretica, Comptes Rendus Biologies, Comptes Rendus Mathématique, Journal of Theoretical Biology and Biology.
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.