Jeff Riley

593 total citations
20 papers, 268 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 268 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), Stellar, planetary, and galactic studies (3 papers) and Evolutionary Algorithms and Applications (3 papers). Jeff Riley is often cited by papers focused on Gamma-ray bursts and supernovae (4 papers), Stellar, planetary, and galactic studies (3 papers) and Evolutionary Algorithms and Applications (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, Mark A. Cooper, C.‐J. Haster, Nathan W. C. Leigh, Silvia Toonen, E. Ramírez-Ruiz, Stephen Northcutt, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeff Riley Australia	7	156	57	50	39	22	20	268
R. C. Thomas United States	9	37 0.2×	53 0.9×	29 0.6×	35 0.9×	7 0.3×	19	157
P. Chris Broekema Netherlands	8	58 0.4×	61 1.1×	13 0.3×	32 0.8×	4 0.2×	17	145
J. Álvarez Cid-Fuentes Spain	8	140 0.9×	127 2.2×	49 1.0×	75 1.9×	19 0.9×	14	303
Bill Roberts United States	6	144 0.9×	12 0.2×	59 1.2×	26 0.7×	9 0.4×	17	240
José Enrique Ruiz Spain	9	151 1.0×	73 1.3×	22 0.4×	80 2.1×	3 0.1×	25	268
Christopher Stoughton United States	5	27 0.2×	83 1.5×	34 0.7×	29 0.7×	42 1.9×	8	151
S. Freund Germany	9	78 0.5×	60 1.1×	36 0.7×	30 0.8×	2 0.1×	13	189
Robert Rowlingson United Kingdom	5	54 0.3×	22 0.4×	31 0.6×	171 4.4×	126 5.7×	9	255
Kevin Vinsen Australia	7	97 0.6×	13 0.2×	24 0.5×	35 0.9×	1 0.0×	25	171
Craig Robinson United Kingdom	5	155 1.0×	161 2.8×	14 0.3×	97 2.5×	1 0.0×	10	342

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mandel, Ilya, Jeff Riley, Ryosuke Hirai, et al.. (2025). Rapid Stellar and Binary Population Synthesis with COMPAS: Methods Paper II. The Astrophysical Journal Supplement Series. 280(1). 43–43. 1 indexed citations

Howlett, Cullan, et al.. (2024). A trifecta of modelling tools: a Bayesian binary black hole model selection combining population synthesis and galaxy formation models. Monthly Notices of the Royal Astronomical Society. 534(4). 3506–3539. 1 indexed citations

Riley, Jeff. (2023). AI Powers the Digital Economy. Ubiquity. 2023(December). 1–10. 2 indexed citations

Riley, Jeff & Ilya Mandel. (2023). Surrogate Forward Models for Population Inference on Compact Binary Mergers. The Astrophysical Journal. 950(2). 80–80. 9 indexed citations

Riley, Jeff, et al.. (2023). Integrating Fault Tree Analysis with System Theoretic Process Analysis. 1–5. 1 indexed citations

Riley, Jeff, et al.. (2021). Chemically homogeneous evolution: a rapid population synthesis approach. Monthly Notices of the Royal Astronomical Society. 505(1). 663–676. 50 indexed citations

Riley, Jeff. (2021). The elusive promise of AI. Ubiquity. 2021(April). 1–10.

Riley, Jeff. (2021). Will machines ever think like humans?. Ubiquity. 2021(June). 1–26.

Bolger, Fergus, Ian Belton, Iain Hamlin, et al.. (2020). Improving the production and evaluation of structural models using a Delphi process. OSF Preprints (OSF Preprints). 1 indexed citations

10.

Vigna-Gómez, Alejandro, Silvia Toonen, E. Ramírez-Ruiz, et al.. (2020). Massive Stellar Triples Leading to Sequential Binary Black-Hole Mergers in the Field. arXiv (Cornell University). 51 indexed citations

11.

Riley, Jeff, et al.. (2020). Will post COVID-19 education be digital?. Ubiquity. 2020(October). 1–8. 2 indexed citations

12.

Mandel, Ilya, Bernhard Müller, Jeff Riley, et al.. (2020). Binary population synthesis with probabilistic remnant mass and kick prescriptions. Monthly Notices of the Royal Astronomical Society. 500(1). 1380–1384. 46 indexed citations

13.

Riley, Jeff, et al.. (2013). Current and future trends in AI. 1–4. 4 indexed citations

14.

Riley, Jeff & Vic Ciesielski. (2010). Fitness landscape analysis for evolutionary non-photorealistic rendering. RMIT Research Repository (RMIT University Library). 1–9. 5 indexed citations

15.

Riley, Jeff, et al.. (2009). Enterprise Knowledge Clouds: Next Generation KM Systems?. 49–53. 33 indexed citations

16.

Riley, Jeff, et al.. (2007). Architecting Principles for Self-Managing Enterprise IT Systems. 11. 60–60. 3 indexed citations

17.

Riley, Jeff & Vic Ciesielski. (2006). Analysis of the difficulty of learning goal-scoring behaviour for robot soccer. RMIT Research Repository (RMIT University Library). 1569–1576.

18.

Riley, Jeff & Victor Ciesielski. (2002). An evolutionary approach to training feedforward and recurrent neural networks. 3. 596–602. 15 indexed citations

19.

Northcutt, Stephen, et al.. (2001). Intrusion Signatures and Analysis. Medical Entomology and Zoology. 43 indexed citations

20.

Riley, Jeff, et al.. (1998). Augmenting Information Retrieval by Knowledge Infusion. 1 indexed citations

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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