Peter Athron

3.3k total citations · 2 hit papers
52 papers, 1.7k citations indexed

About

Peter Athron is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Peter Athron has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Nuclear and High Energy Physics, 32 papers in Astronomy and Astrophysics and 5 papers in Artificial Intelligence. Recurrent topics in Peter Athron's work include Particle physics theoretical and experimental studies (44 papers), Cosmology and Gravitation Theories (30 papers) and Dark Matter and Cosmic Phenomena (28 papers). Peter Athron is often cited by papers focused on Particle physics theoretical and experimental studies (44 papers), Cosmology and Gravitation Theories (30 papers) and Dark Matter and Cosmic Phenomena (28 papers). Peter Athron collaborates with scholars based in Australia, Germany and China. Peter Athron's co-authors include Csaba Balázs, Dominik Stöckinger, Alexander Voigt, Andrew Fowlie, R. Nevzorov, D.J. Miller, Stephen F. King, Stefano Moretti, Anthony G. Williams and Dylan Harries and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physics Letters B.

In The Last Decade

Peter Athron

52 papers receiving 1.6k citations

Hit Papers

New physics explanations of aμ in light of the FNAL muon ... 2021 2026 2022 2024 2021 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Athron Australia 27 1.5k 942 112 69 43 52 1.7k
Andrew Fowlie Australia 18 847 0.6× 611 0.6× 62 0.6× 56 0.8× 23 0.5× 43 987
M. Chala Spain 24 1.5k 1.0× 812 0.9× 53 0.5× 77 1.1× 42 1.0× 52 1.6k
Giuliano Panico Italy 26 1.9k 1.2× 719 0.8× 79 0.7× 67 1.0× 43 1.0× 43 2.0k
Graham White Australia 21 843 0.6× 804 0.9× 50 0.4× 78 1.1× 41 1.0× 41 1.1k
Jessie Shelton United States 27 1.8k 1.2× 1.2k 1.3× 42 0.4× 144 2.1× 82 1.9× 52 2.0k
Gláuber C. Dorsch United Kingdom 9 696 0.5× 723 0.8× 45 0.4× 61 0.9× 18 0.4× 13 879
Eung Jin Chun South Korea 28 2.1k 1.4× 1.2k 1.2× 68 0.6× 51 0.7× 46 1.1× 97 2.2k
Ligong Bian China 22 1.0k 0.7× 874 0.9× 35 0.3× 63 0.9× 21 0.5× 54 1.2k
Kuver Sinha United States 29 1.9k 1.3× 1.4k 1.5× 64 0.6× 110 1.6× 53 1.2× 88 2.1k
Nicholas L. Rodd United States 27 1.6k 1.1× 1.1k 1.1× 43 0.4× 309 4.5× 52 1.2× 52 1.8k

Countries citing papers authored by Peter Athron

Since Specialization
Citations

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

Fields of papers citing papers by Peter Athron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Athron

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Athron. A scholar is included among the top collaborators of Peter Athron 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 Peter Athron. Peter Athron 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.
Athron, Peter, et al.. (2025). Impact of memory-burdened black holes on primordial gravitational waves in light of Pulsar Timing Array. Journal of Cosmology and Astroparticle Physics. 2025(5). 5–5. 10 indexed citations
2.
Athron, Peter, et al.. (2024). Can Supercooled Phase Transitions Explain the Gravitational Wave Background Observed by Pulsar Timing Arrays?. Physical Review Letters. 132(22). 221001–221001. 36 indexed citations
3.
Athron, Peter, et al.. (2024). How robust are gravitational wave predictions from cosmological phase transitions?. Journal of Cosmology and Astroparticle Physics. 2024(5). 75–75. 14 indexed citations
4.
Athron, Peter, et al.. (2024). Falsifying Pati-Salam models with LIGO. Physical review. D. 109(6). 3 indexed citations
5.
Athron, Peter, et al.. (2024). B meson anomalies and large $$ {B}^{+}\to {K}^{+}\nu \overline{\nu} $$ in non-universal U(1)′ models. Journal of High Energy Physics. 2024(2). 30 indexed citations
6.
Athron, Peter, et al.. (2023). How arbitrary are perturbative calculations of the electroweak phase transition?. Journal of High Energy Physics. 2023(1). 37 indexed citations
7.
Athron, Peter, et al.. (2023). Supercool subtleties of cosmological phase transitions. Journal of Cosmology and Astroparticle Physics. 2023(3). 6–6. 34 indexed citations
8.
Athron, Peter, et al.. (2023). Cosmological phase transitions: From perturbative particle physics to gravitational waves. Progress in Particle and Nuclear Physics. 135. 104094–104094. 122 indexed citations breakdown →
9.
Gonzalo, Tomás E., Pat Scott, Are Raklev, et al.. (2021). The GAMBIT Universal Model Machine: from Lagrangians to likelihoods. The European Physical Journal C. 81(12). 15 indexed citations
10.
Athron, Peter, Csaba Balázs, Ankit Beniwal, et al.. (2021). Supplementary Material for Global fits of axion-like particles to XENON1T and astrophysical data. Zenodo (CERN European Organization for Nuclear Research). 10 indexed citations
11.
Athron, Peter, Csaba Balázs, A. G. Buckley, et al.. (2019). Combined collider constraints on neutralinos and charginos. The European Physical Journal C. 79(5). 46 indexed citations
12.
Athron, Peter, Csaba Balázs, Ankit Beniwal, et al.. (2019). Global analyses of Higgs portal singlet dark matter models using GAMBIT. The European Physical Journal C. 79(1). 38–38. 68 indexed citations
13.
Athron, Peter, et al.. (2016). FlexibleSUSY – a meta spectrum generator for supersymmetric models. Nuclear and Particle Physics Proceedings. 273-275. 2424–2426. 5 indexed citations
14.
Athron, Peter, Dylan Harries, R. Nevzorov, & Anthony G. Williams. (2016). E 6 inspired SUSY benchmarks, dark matter relic density and a 125 GeV Higgs. Physics Letters B. 760. 19–25. 35 indexed citations
15.
Athron, Peter, et al.. (2016). GM2Calc: precise MSSM prediction for $$(g-2)$$ ( g - 2 ) of the muon. The European Physical Journal C. 76(2). 66 indexed citations
16.
Athron, Peter, Jae-hyeon Park, Dominik Stöckinger, & Alexander Voigt. (2015). FlexibleSUSY—A spectrum generator generator for supersymmetric models. Computer Physics Communications. 190. 139–172. 95 indexed citations
17.
Allanach, B. C., Peter Athron, Lewis Tunstall, Alexander Voigt, & Anthony G. Williams. (2014). Next-to-minimal SOFTSUSY. Computer Physics Communications. 185(9). 2322–2339. 55 indexed citations
18.
Athron, Peter, et al.. (2013). Bayesian naturalness of the C(N)MSSM. arXiv (Cornell University). 1 indexed citations
19.
Athron, Peter, Jonathan P. Hall, Stephen F. King, et al.. (2011). Collider phenomenology of the E6SSM. ePrints Soton (University of Southampton). 1 indexed citations
20.
Athron, Peter, Stephen F. King, D.J. Miller, Stefano Moretti, & R. Nevzorov. (2008). Electroweak symmetry breaking in the E6SSM. Journal of Physics Conference Series. 110(7). 72001–72001. 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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