F. Hayot
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
Papers in
-
- Particle physics theoretical and experimental studies 24
- Quantum Chromodynamics and Particle Interactions 21
- High-Energy Particle Collisions Research 19
-
- Gene Regulatory Network Analysis 14
- Co-authors
- C. Jayaprakash (21 shared papers)C. David Andereck (2 shared papers)Ralf Bundschuh (2 shared papers)Stuart C. Sealfon (18 shared papers)Srividya Iyer‐Biswas (2 shared papers)W. F. Saam (3 shared papers)A. Morel (6 shared papers)Yves Pomeau (3 shared papers)
- Journals
- Nuclear Physics B (9 papers)Physics Letters B (6 papers)Journal of Theoretical Biology (5 papers)Physical Review Letters (4 papers)Biophysical Journal (4 papers)
- Partner nations
- United StatesFranceIndia
In The Last Decade
F. Hayot
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Nuclear and High Energy Physics 245
- Condensed Matter Physics 218
- Computational Mechanics 341
- Statistical and Nonlinear Physics 170
- Immunology 219
Countries citing papers authored by F. Hayot
This map shows the geographic impact of F. Hayot'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 F. Hayot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Hayot more than expected).
Fields of papers citing papers by F. Hayot
This network shows the impact of papers produced by F. Hayot. 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 F. Hayot. The network helps show where F. Hayot may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Hayot, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 125 | |
| 2 | 1987 | 80 | |
| 3 | 2002 | 74 | |
| 4 | 1989 | 72 | |
| 5 | 2003 | 63 | |
| 6 | 1992 | 61 | |
| 7 | 1993 | 61 | |
| 8 | 2015 | 54 | |
| 9 | 2007 | 52 | |
| 10 | 2007 | 43 | |
| 11 | 2006 | 37 | |
| 12 | 2004 | 36 | |
| 13 | 2005 | 35 | |
| 14 | 1984 | 32 | |
| 15 | 1996 | 32 | |
| 16 | 1993 | 31 | |
| 17 | 2011 | 29 | |
| 18 | 2011 | 29 | |
| 19 | 1974 | 28 | |
| 20 | 1991 | 28 |
About F. Hayot
F. Hayot is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Computational Mechanics, Condensed Matter Physics and Immunology, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (24 papers), Quantum Chromodynamics and Particle Interactions (21 papers), Fluid Dynamics and Turbulent Flows (19 papers), High-Energy Particle Collisions Research (19 papers), Theoretical and Computational Physics (16 papers), Gene Regulatory Network Analysis (14 papers), Lattice Boltzmann Simulation Studies (10 papers) and Evolution and Genetic Dynamics (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (245 citations), Condensed Matter Physics (218 citations), Computational Mechanics (341 citations), Statistical and Nonlinear Physics (170 citations) and Immunology (219 citations). F. Hayot has collaborated with scholars based in United States, France and India. Frequent co-authors include C. Jayaprakash, C. David Andereck, Ralf Bundschuh, Stuart C. Sealfon, Srividya Iyer‐Biswas, W. F. Saam, A. Morel, Yves Pomeau, Rahul Pandit and John Hegseth. Their work appears in journals such as Nuclear Physics B, Physics Letters B, Journal of Theoretical Biology, Physical Review Letters and Biophysical Journal.
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.