Jeff Riley

54 total papers · 583 total citations
20 papers, 269 citations indexed

About

Jeff Riley is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Information Systems. According to data from OpenAlex, Jeff Riley has authored 20 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Astronomy and Astrophysics and 3 papers in Information Systems. Recurrent topics in Jeff Riley's work include Gamma-ray bursts and supernovae (4 papers), Evolutionary Algorithms and Applications (3 papers) and Stellar, planetary, and galactic studies (3 papers). Jeff Riley is often cited by papers focused on Gamma-ray bursts and supernovae (4 papers), Evolutionary Algorithms and Applications (3 papers) and Stellar, planetary, and galactic studies (3 papers). Jeff Riley collaborates with scholars based in Australia, United States and United Kingdom. Jeff Riley's co-authors include Alejandro Vigna-Gómez, Ilya Mandel, E. Ramírez-Ruiz, Nathan W. C. Leigh, Stephen Northcutt, Silvia Toonen, Mark A. Cooper, C.‐J. Haster, S. E. de Mink and Debatri Chattopadhyay and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Jeff Riley

17 papers receiving 225 citations

Author Peers

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

Author Last Decade Papers Cites
Jeff Riley 155 57 50 39 22 20 269
David Brown 124 0.8× 114 2.0× 33 0.7× 46 1.2× 10 0.5× 18 311
David Chappell 198 1.3× 40 0.7× 37 0.7× 38 1.0× 3 0.1× 19 313
R. C. Thomas 37 0.2× 53 0.9× 29 0.6× 35 0.9× 7 0.3× 19 157
P. Chris Broekema 58 0.4× 61 1.1× 13 0.3× 32 0.8× 4 0.2× 17 145
J. Álvarez Cid-Fuentes 141 0.9× 128 2.2× 49 1.0× 75 1.9× 19 0.9× 14 303
Bill Roberts 144 0.9× 12 0.2× 59 1.2× 26 0.7× 9 0.4× 17 239
Lei Hu 64 0.4× 22 0.4× 67 1.3× 14 0.4× 3 0.1× 29 201
Sandra Mitrović 94 0.6× 11 0.2× 57 1.1× 27 0.7× 4 0.2× 16 232
José Enrique Ruiz 151 1.0× 73 1.3× 22 0.4× 80 2.1× 3 0.1× 25 268
David Schultz 28 0.2× 79 1.4× 150 3.0× 87 2.2× 85 3.9× 29 279

Countries citing papers authored by Jeff Riley

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Riley. 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 Jeff Riley. The network helps show where Jeff Riley may publish in the future.

Co-authorship network of co-authors of Jeff Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Riley. A scholar is included among the top collaborators of Jeff Riley 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 Jeff Riley. Jeff Riley 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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