Brian T. Hayes

14 total papers · 406 total citations
13 papers, 300 citations indexed

About

Brian T. Hayes is a scholar working on Applied Mathematics, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Brian T. Hayes has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Applied Mathematics, 8 papers in Computational Mechanics and 6 papers in Mathematical Physics. Recurrent topics in Brian T. Hayes's work include Navier-Stokes equation solutions (9 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Advanced Mathematical Physics Problems (6 papers). Brian T. Hayes is often cited by papers focused on Navier-Stokes equation solutions (9 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Advanced Mathematical Physics Problems (6 papers). Brian T. Hayes collaborates with scholars based in United States and France. Brian T. Hayes's co-authors include Philippe G. LeFloch, Michael Shearer and David G. Schaeffer and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Communications on Pure and Applied Mathematics and Physica D Nonlinear Phenomena.

In The Last Decade

Brian T. Hayes

13 papers receiving 255 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brian T. Hayes 240 183 143 57 20 13 300
David H. Wagner 209 0.9× 161 0.9× 125 0.9× 16 0.3× 56 2.8× 8 288
Emil Wiedemann 241 1.0× 158 0.9× 137 1.0× 14 0.2× 33 1.6× 23 298
Dening Li 323 1.3× 229 1.3× 224 1.6× 14 0.2× 45 2.3× 31 359
Tak Kwong Wong 221 0.9× 159 0.9× 160 1.1× 35 0.6× 60 3.0× 11 302
Céline Baranger 277 1.2× 235 1.3× 60 0.4× 20 0.4× 7 0.3× 15 325
Max Shiffman 193 0.8× 147 0.8× 55 0.4× 8 0.1× 10 0.5× 10 320
John Tavantzis 124 0.5× 67 0.4× 64 0.4× 32 0.6× 67 3.4× 9 300
Francisco Guillén 149 0.6× 135 0.7× 137 1.0× 7 0.1× 33 1.6× 14 324
Zhen–Huan Teng 167 0.7× 219 1.2× 76 0.5× 8 0.1× 12 0.6× 19 302
Denise Aregba-Driollet 165 0.7× 223 1.2× 47 0.3× 14 0.2× 30 1.5× 17 304

Countries citing papers authored by Brian T. Hayes

Since Specialization
Citations

This map shows the geographic impact of Brian T. Hayes'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 Brian T. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Hayes more than expected).

Fields of papers citing papers by Brian T. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Hayes. 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 Brian T. Hayes. The network helps show where Brian T. Hayes may publish in the future.

Co-authorship network of co-authors of Brian T. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Hayes. A scholar is included among the top collaborators of Brian T. Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian T. Hayes. Brian T. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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