Stephen M. Feeney

4.7k total citations
30 papers, 865 citations indexed

About

Stephen M. Feeney is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, Stephen M. Feeney has authored 30 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 9 papers in Nuclear and High Energy Physics and 3 papers in Artificial Intelligence. Recurrent topics in Stephen M. Feeney's work include Cosmology and Gravitation Theories (19 papers), Galaxies: Formation, Evolution, Phenomena (11 papers) and Gamma-ray bursts and supernovae (6 papers). Stephen M. Feeney is often cited by papers focused on Cosmology and Gravitation Theories (19 papers), Galaxies: Formation, Evolution, Phenomena (11 papers) and Gamma-ray bursts and supernovae (6 papers). Stephen M. Feeney collaborates with scholars based in United Kingdom, United States and France. Stephen M. Feeney's co-authors include Hiranya V. Peiris, D. Mortlock, Justin Alsing, B. D. Wandelt, Tom Charnock, S. Nissanke, Matthew C. Johnson, A. R. Williamson, Andrew Pontzen and D. Scolnic and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Stephen M. Feeney

28 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Feeney United Kingdom 15 737 289 100 64 59 30 865
M. P. Hobson United Kingdom 16 706 1.0× 267 0.9× 89 0.9× 46 0.7× 72 1.2× 37 874
Pablo Lemos United Kingdom 19 724 1.0× 308 1.1× 77 0.8× 84 1.3× 105 1.8× 33 853
Farhan Feroz United Kingdom 13 693 0.9× 468 1.6× 98 1.0× 23 0.4× 115 1.9× 31 1.0k
S. Desai India 16 772 1.0× 377 1.3× 28 0.3× 82 1.3× 116 2.0× 93 901
Martin Reinecke Germany 12 905 1.2× 336 1.2× 51 0.5× 58 0.9× 177 3.0× 30 1.1k
Pia Mukherjee United Kingdom 18 971 1.3× 531 1.8× 50 0.5× 73 1.1× 48 0.8× 30 1.1k
Tom Charnock France 10 464 0.6× 211 0.7× 120 1.2× 39 0.6× 72 1.2× 15 566
Laurence Perreault-Levasseur Canada 12 516 0.7× 228 0.8× 73 0.7× 67 1.0× 82 1.4× 28 660
Elena Massara Canada 18 624 0.8× 239 0.8× 60 0.6× 84 1.3× 154 2.6× 27 746
Jiamin Hou Germany 18 447 0.6× 205 0.7× 68 0.7× 59 0.9× 102 1.7× 39 706

Countries citing papers authored by Stephen M. Feeney

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Feeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Feeney. 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 Stephen M. Feeney. The network helps show where Stephen M. Feeney may publish in the future.

Co-authorship network of co-authors of Stephen M. Feeney

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Feeney. A scholar is included among the top collaborators of Stephen M. Feeney 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 Stephen M. Feeney. Stephen M. Feeney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sarin, Nikhil, Hiranya V. Peiris, D. Mortlock, et al.. (2024). Measuring the nuclear equation of state with neutron star-black hole mergers. Physical review. D. 110(2).
2.
Wietersheim-Kramsta, Maximilian von, et al.. (2023). A simulation-based inference pipeline for cosmic shear with the Kilo-Degree Survey. Monthly Notices of the Royal Astronomical Society. 524(4). 6167–6180. 12 indexed citations
3.
Feeney, Stephen M., Hiranya V. Peiris, S. Nissanke, & D. Mortlock. (2021). Prospects for Measuring the Hubble Constant with Neutron-Star–Black-Hole Mergers. Physical Review Letters. 126(17). 171102–171102. 19 indexed citations
4.
Viti, S., et al.. (2020). Exploiting Network Topology for Accelerated Bayesian Inference of Grain Surface Reaction Networks. The Astrophysical Journal. 904(2). 197–197. 7 indexed citations
5.
Feeney, Stephen M., Hiranya V. Peiris, A. R. Williamson, et al.. (2019). Prospects for Resolving the Hubble Constant Tension with Standard Sirens. Physical Review Letters. 122(6). 61105–61105. 125 indexed citations
6.
Alsing, Justin, Tom Charnock, Stephen M. Feeney, & B. D. Wandelt. (2019). Fast likelihood-free cosmology with neural density estimators and active learning. Monthly Notices of the Royal Astronomical Society. 130 indexed citations
7.
Taylor, Peter L., et al.. (2019). Cosmic shear: Inference from forward models. Physical review. D. 100(2). 27 indexed citations
8.
Feeney, Stephen M., et al.. (2018). Clarifying the Hubble constant tension with a Bayesian hierarchical model of the local distance ladder. Monthly Notices of the Royal Astronomical Society. 476(3). 3861–3882. 96 indexed citations
9.
Alsing, Justin, B. D. Wandelt, & Stephen M. Feeney. (2018). Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology. Monthly Notices of the Royal Astronomical Society. 477(3). 2874–2885. 95 indexed citations
10.
McEwen, J. D., Stephen M. Feeney, Hiranya V. Peiris, et al.. (2017). Wavelet-Bayesian inference of cosmic strings embedded in the cosmic microwave background. Monthly Notices of the Royal Astronomical Society. 472(4). 4081–4098. 17 indexed citations
11.
Verde, Licia, Raúl Jiménez, & Stephen M. Feeney. (2016). The importance of local measurements for cosmology. 6 indexed citations
12.
Feeney, Stephen M., et al.. (2016). How Isotropic is the Universe?. Physical Review Letters. 117(13). 131302–131302. 89 indexed citations
13.
Feeney, Stephen M., F. Elsner, Matthew C. Johnson, & Hiranya V. Peiris. (2015). Forecasting constraints from the cosmic microwave background on eternal inflation. Physical review. D. Particles, fields, gravitation, and cosmology. 92(8).
14.
Feeney, Stephen M., et al.. (2014). Sparse inpainting and isotropy. Journal of Cosmology and Astroparticle Physics. 2014(1). 50–50. 5 indexed citations
15.
Feeney, Stephen M., Matthew C. Johnson, D. Mortlock, & Hiranya V. Peiris. (2012). Robust Constraint on Cosmic Textures from the Cosmic Microwave Background. Physical Review Letters. 108(24). 241301–241301. 7 indexed citations
16.
McEwen, Jason D., Stephen M. Feeney, Matthew C. Johnson, & Hiranya V. Peiris. (2012). Optimal filters for detecting cosmic bubble collisions. Physical review. D. Particles, fields, gravitation, and cosmology. 85(10). 16 indexed citations
17.
Feeney, Stephen M., Matthew C. Johnson, D. Mortlock, & Hiranya V. Peiris. (2011). First Observational Tests of Eternal Inflation. Physical Review Letters. 107(7). 71301–71301. 40 indexed citations
18.
Feeney, Stephen M., Matthew C. Johnson, D. Mortlock, & Hiranya V. Peiris. (2011). First observational tests of eternal inflation: Analysis methods and WMAP 7-year results. Physical review. D. Particles, fields, gravitation, and cosmology. 84(4). 38 indexed citations
19.
Feeney, Stephen M., et al.. (2007). EPR study of defects in as-received, γ-irradiated and annealed monoclinic HfO2 powder. Microelectronic Engineering. 84(9-10). 2378–2381. 10 indexed citations
20.
Feeney, Stephen M., Vasily Belokurov, N. W. Evans, et al.. (2005). Automated Detection of Classical Novae with Neural Networks. The Astronomical Journal. 130(1). 84–94. 4 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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