F. J. Hayes

55 total papers · 11.2k total citations
8 papers, 204 citations indexed

About

F. J. Hayes is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, F. J. Hayes has authored 8 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 2 papers in Artificial Intelligence and 2 papers in Nuclear and High Energy Physics. Recurrent topics in F. J. Hayes's work include Pulsars and Gravitational Waves Research (8 papers), Gamma-ray bursts and supernovae (7 papers) and Astrophysics and Cosmic Phenomena (2 papers). F. J. Hayes is often cited by papers focused on Pulsars and Gravitational Waves Research (8 papers), Gamma-ray bursts and supernovae (7 papers) and Astrophysics and Cosmic Phenomena (2 papers). F. J. Hayes collaborates with scholars based in United Kingdom, Taiwan and United States. F. J. Hayes's co-authors include C. Messenger, M. J. Williams, Hunter Gabbard, J. Veitch, I. S. Heng, D. R. Williams, E. T. Lin, Sarah Croke, Gavin P. Lamb and J. E. Broida and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Classical and Quantum Gravity.

In The Last Decade

F. J. Hayes

8 papers receiving 194 citations

Author Peers

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

Author Last Decade Papers Cites
F. J. Hayes 177 57 44 24 17 8 204
Edward Higson 200 1.1× 45 0.8× 20 0.5× 61 2.5× 15 0.9× 11 291
R. Biswas 193 1.1× 43 0.8× 29 0.7× 46 1.9× 29 1.7× 12 249
Wei Wei 129 0.7× 54 0.9× 44 1.0× 10 0.4× 7 0.4× 9 179
Hansueli Meyer 236 1.3× 28 0.5× 19 0.4× 22 0.9× 21 1.2× 10 291
S. Kandhasamy 253 1.4× 32 0.6× 71 1.6× 30 1.3× 28 1.6× 12 280
N. Mukund 155 0.9× 35 0.6× 70 1.6× 10 0.4× 57 3.4× 13 213
M. Rakhmanov 153 0.9× 17 0.3× 39 0.9× 29 1.2× 46 2.7× 12 187
Banafsheh Beheshtipour 120 0.7× 19 0.3× 21 0.5× 40 1.7× 10 0.6× 11 136
D. M. Macleod 152 0.9× 20 0.4× 57 1.3× 17 0.7× 9 0.5× 13 164
Ruslan Vaulin 178 1.0× 47 0.8× 26 0.6× 101 4.2× 62 3.6× 10 244

Countries citing papers authored by F. J. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by F. J. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. J. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of F. J. Hayes. A scholar is included among the top collaborators of F. J. 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 F. J. Hayes. F. J. 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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