Stephen Thorp

652 total citations
17 papers, 186 citations indexed

About

Stephen Thorp is a scholar working on Astronomy and Astrophysics, Instrumentation and Surgery. According to data from OpenAlex, Stephen Thorp has authored 17 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 8 papers in Instrumentation and 1 paper in Surgery. Recurrent topics in Stephen Thorp's work include Gamma-ray bursts and supernovae (12 papers), Astronomy and Astrophysical Research (8 papers) and Stellar, planetary, and galactic studies (4 papers). Stephen Thorp is often cited by papers focused on Gamma-ray bursts and supernovae (12 papers), Astronomy and Astrophysical Research (8 papers) and Stellar, planetary, and galactic studies (4 papers). Stephen Thorp collaborates with scholars based in United Kingdom, Sweden and United States. Stephen Thorp's co-authors include Amitabh Gulati, Vinay Puttanniah, Kaisey S. Mandel, Gautham Narayan, D. O. Jones, Alberto Sesana, Suhail Dhawan, Sinan Deger, Joel Leja and Hiranya V. Peiris 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

Stephen Thorp

14 papers receiving 179 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 Thorp United Kingdom 8 97 76 46 41 23 17 186
Junjie Jin China 7 70 0.7× 65 0.9× 29 0.6× 61 1.5× 7 0.3× 17 183
Ya-Juan Lei China 7 90 0.9× 23 0.3× 39 0.8× 13 0.3× 12 0.5× 16 124
Makoto Ando Japan 6 79 0.8× 40 0.5× 40 0.9× 17 0.7× 13 141
T. E. Müller-Bravo Germany 6 94 1.0× 30 0.4× 18 0.4× 1 0.0× 24 1.0× 16 144
Anthony Hervé France 12 137 1.4× 209 2.8× 38 0.8× 3 0.1× 27 357
J. Richard Bond United States 4 72 0.7× 12 0.2× 17 0.4× 24 1.0× 8 108
S. Koch United States 7 116 1.2× 13 0.2× 11 0.2× 37 1.6× 11 159
J. Borkowski Switzerland 5 169 1.7× 17 0.2× 28 0.6× 37 1.6× 21 192
Kevin I. Collins United States 4 35 0.4× 23 0.3× 17 0.4× 1 0.0× 1 0.0× 8 69
Sara Mascia Italy 7 50 0.5× 30 0.4× 13 0.3× 5 0.2× 18 205

Countries citing papers authored by Stephen Thorp

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Thorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Thorp

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

All Works

17 of 17 papers shown
1.
Thorp, Stephen, Hiranya V. Peiris, Sinan Deger, et al.. (2025). pop-cosmos : Insights from Generative Modeling of a Deep, Infrared-selected Galaxy Population. The Astrophysical Journal. 993(2). 240–240. 2 indexed citations
2.
Petri, Fabio, Boris Leistedt, D. Mortlock, et al.. (2025). Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference. Monthly Notices of the Royal Astronomical Society. 545(3).
3.
Alsing, Justin, Stephen Thorp, Sinan Deger, et al.. (2024). pop-cosmos: A Comprehensive Picture of the Galaxy Population from COSMOS Data. The Astrophysical Journal Supplement Series. 274(1). 12–12. 8 indexed citations
4.
Thorp, Stephen, Kaisey S. Mandel, D. O. Jones, R. Kirshner, & P. Challis. (2024). Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies. Monthly Notices of the Royal Astronomical Society. 530(4). 4016–4031. 5 indexed citations
5.
Thorp, Stephen, Justin Alsing, Hiranya V. Peiris, et al.. (2024). pop-cosmos: Scaleable Inference of Galaxy Properties and Redshifts with a Data-driven Population Model. The Astrophysical Journal. 975(1). 145–145. 5 indexed citations
6.
Thorp, Stephen, et al.. (2024). Variational inference for acceleration of SN Ia photometric distance estimation with BayeSN. Monthly Notices of the Royal Astronomical Society. 535(3). 2306–2321.
7.
Thorp, Stephen, et al.. (2024). gausSN: Bayesian time-delay estimation for strongly lensed supernovae. Monthly Notices of the Royal Astronomical Society. 530(4). 3942–3963.
8.
Thorp, Stephen, et al.. (2024). Scalable hierarchical BayeSN inference: investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift. Monthly Notices of the Royal Astronomical Society. 531(1). 953–976. 7 indexed citations
9.
Thorp, Stephen, Hiranya V. Peiris, D. Mortlock, et al.. (2024). Data-space Validation of High-dimensional Models by Comparing Sample Quantiles. The Astrophysical Journal Supplement Series. 276(1). 5–5. 1 indexed citations
10.
Dhawan, Suhail, et al.. (2023). Bird-Snack: Bayesian inference of dust law RV distributions using SN Ia apparent colours at peak. Monthly Notices of the Royal Astronomical Society. 526(4). 5715–5734. 6 indexed citations
11.
Dhawan, Suhail, et al.. (2023). A BayeSN distance ladder: H0 from a consistent modelling of Type Ia supernovae from the optical to the near-infrared. Monthly Notices of the Royal Astronomical Society. 524(1). 235–244. 11 indexed citations
12.
Souza, Rafael S. de, Stephen Thorp, L. Galbany, et al.. (2023). A graph-based spectral classification of Type II supernovae. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1 indexed citations
13.
Peterson, Erik R., D. O. Jones, D. Scolnic, et al.. (2023). The DEHVILS survey overview and initial data release: high-quality near-infrared Type Ia supernova light curves at low redshift. Monthly Notices of the Royal Astronomical Society. 522(2). 2478–2494. 9 indexed citations
14.
Thorp, Stephen & Kaisey S. Mandel. (2022). Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves. Monthly Notices of the Royal Astronomical Society. 517(2). 2360–2382. 13 indexed citations
15.
Thorp, Stephen, et al.. (2021). Testing the consistency of dust laws in SN Ia host galaxies: a BayeSN examination of Foundation DR1. Monthly Notices of the Royal Astronomical Society. 508(3). 4310–4331. 25 indexed citations
16.
Thorp, Stephen, et al.. (2019). Tidal disruption events from massive black hole binaries: predictions for ongoing and future surveys. Monthly Notices of the Royal Astronomical Society. 488(3). 4042–4060. 16 indexed citations
17.
Thorp, Stephen, et al.. (2017). “A Tale of Two Planes”. Regional Anesthesia & Pain Medicine. 42(2). 259–262. 77 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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