F. Hayot

2.2k citations
93 papers · 1.7k indexed · h-index 23

Impact in

Papers in

F. Hayot

91 papers receiving 1.6k citations

Peers

F. Hayot
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
Replace John C. Neu with:
John C. Neu United States
David C. Torney United States
David S. Dean France
Jordan M. Horowitz United States
Shoudan Liang United States
Haruo Yoshida Japan
Andreas Mayer Germany
Anirvan M. Sengupta India
A. Gamba Italy
Greg Huber United States
F. Hayot relative to John C. Neu United States John C. Neu's profile →
Citations per field
00.5×5.8×
John C. Neu · 1×
Citations per year

Countries citing papers authored by F. Hayot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with F. Hayot Line = papers co-authored together F. Hayot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201913
2 201714
3 201414
4 20138
5 20124
6 201129
7 20118
8 20105
9 201021
10 2009125
11 200911
12 20084
13 200717
14 200743
15 200752
16 200637
17 200522
18 200436
19 200274
20
The Effect of Galilean Non-Invariance in Lattice Gas Automaton One-Dimensional Flow.
19873

About F. Hayot

F. Hayot is a scholar working on Nuclear and High Energy Physics, Condensed Matter Physics, Computational Mechanics, Structural Biology and Mathematical Physics, 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), High-Energy Particle Collisions Research (19 papers), Fluid Dynamics and Turbulent Flows (19 papers), Theoretical and Computational Physics (16 papers), Gene Regulatory Network Analysis (14 papers), Lattice Boltzmann Simulation Studies (10 papers) and Influenza Virus Research Studies (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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026