Peter Milne

6.2k total citations
89 papers, 1.9k citations indexed

About

Peter Milne is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, Peter Milne has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Astronomy and Astrophysics, 26 papers in Nuclear and High Energy Physics and 7 papers in Computational Mechanics. Recurrent topics in Peter Milne's work include Gamma-ray bursts and supernovae (64 papers), Astrophysical Phenomena and Observations (28 papers) and Astrophysics and Cosmic Phenomena (20 papers). Peter Milne is often cited by papers focused on Gamma-ray bursts and supernovae (64 papers), Astrophysical Phenomena and Observations (28 papers) and Astrophysics and Cosmic Phenomena (20 papers). Peter Milne collaborates with scholars based in United States, Germany and United Kingdom. Peter Milne's co-authors include Graham Williams, Kenji Yamanishi, Jun’ichi Takeuchi, Peter Lipton, P. J. Brown, A. V. Filippenko, S. T. Holland, S. Immler, Nathan Smith and Peter W. A. Roming and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Annals of the New York Academy of Sciences.

In The Last Decade

Peter Milne

83 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Milne United States 24 1.1k 446 429 198 149 89 1.9k
Kurt Smith United States 3 140 0.1× 36 0.1× 152 0.4× 60 0.3× 27 0.2× 10 726
Dan Werthimer United States 20 911 0.8× 282 0.6× 170 0.4× 876 4.4× 50 0.3× 83 2.1k
S. Young United Kingdom 21 995 0.9× 365 0.8× 906 2.1× 32 0.2× 284 1.9× 57 2.1k
M. McDonald United Kingdom 32 1.7k 1.6× 330 0.7× 86 0.2× 46 0.2× 49 0.3× 166 3.2k
Eric Korpela United States 16 711 0.6× 178 0.4× 155 0.4× 881 4.4× 33 0.2× 77 1.8k
E. J. M. Colbert United States 22 1.8k 1.7× 748 1.7× 131 0.3× 141 0.7× 77 0.5× 58 2.2k
Min‐Su Shin South Korea 17 525 0.5× 112 0.3× 82 0.2× 759 3.8× 58 0.4× 81 1.8k
K. D. Borne United States 17 802 0.7× 58 0.1× 104 0.2× 38 0.2× 37 0.2× 72 1.0k
Michael Doran United States 19 1.2k 1.1× 1.0k 2.3× 45 0.1× 32 0.2× 32 0.2× 51 1.5k
A. Mahabal United States 29 2.5k 2.3× 554 1.2× 141 0.3× 19 0.1× 100 0.7× 160 3.1k

Countries citing papers authored by Peter Milne

Since Specialization
Citations

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

Fields of papers citing papers by Peter Milne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Milne

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Milne. A scholar is included among the top collaborators of Peter Milne 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 Milne. Peter Milne 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.
Smith, Nathan, Jennifer E. Andrews, Peter Milne, et al.. (2024). SN 2015da: late-time observations of a persistent superluminous Type IIn supernova with post-shock dust formation. Monthly Notices of the Royal Astronomical Society. 530(1). 405–423. 8 indexed citations
2.
Garnavich, P., Charlotte M. Wood, Peter Milne, et al.. (2023). Connecting Infrared Surface Brightness Fluctuation Distances to Type Ia Supernova Hosts: Testing the Top Rung of the Distance Ladder. The Astrophysical Journal. 953(1). 35–35. 10 indexed citations
3.
Smith, Nathan, et al.. (2023). The superluminous Type IIn supernova ASASSN-15ua: part of a continuum in extreme precursor mass-loss. Monthly Notices of the Royal Astronomical Society. 527(3). 7767–7780. 4 indexed citations
4.
Smith, Nathan, Peter Milne, Jennifer E. Andrews, et al.. (2023). Repeating periodic eruptions of the supernova impostor SN 2000ch. Monthly Notices of the Royal Astronomical Society. 521(2). 1941–1957. 8 indexed citations
5.
Rastinejad, Jillian, Wen‐fai Fong, C. D. Kilpatrick, et al.. (2021). Probing Kilonova Ejecta Properties Using a Catalog of Short Gamma-Ray Burst Observations. The Astrophysical Journal. 916(2). 89–89. 27 indexed citations
6.
Jensen, Joseph B., John P. Blakeslee, Chung‐Pei Ma, et al.. (2021). Infrared Surface Brightness Fluctuation Distances for MASSIVE and Type Ia Supernova Host Galaxies*. The Astrophysical Journal Supplement Series. 255(2). 21–21. 25 indexed citations
7.
Jencson, J., M. M. Kasliwal, S. M. Adams, et al.. (2018). . Liverpool John Moores University. 5 indexed citations
8.
Jensen, Joseph B., et al.. (2018). Calibrating the Type Ia Supernova Distance Scale Using Surface Brightness Fluctuations. AAS. 232. 2 indexed citations
9.
Brown, P. J., et al.. (2017). Reddened, Redshifted, or Intrinsically Red? Understanding Near-ultraviolet Colors of Type Ia Supernovae. The Astrophysical Journal. 836(2). 232–232. 6 indexed citations
10.
Fong, Wen‐fai, R. Margutti, R. Chornock, et al.. (2016). THE AFTERGLOW AND EARLY-TYPE HOST GALAXY OF THE SHORT GRB 150101B AT z = 0.1343. The Astrophysical Journal. 833(2). 151–151. 41 indexed citations
11.
Dong, Subo, Ping Chen, S. Bose, et al.. (2016). Optical and UV Re-brightening of Hydrogen-rich Super-Luminous Supernova PS16dtm/SN 2016ezh. The astronomer's telegram. 9843. 1. 1 indexed citations
12.
Milne, Peter. (2016). Project Icarus: Communications Data Link Designs Between Icarus and Earth and Between Icarus Spacecraft. Journal of the British Interplanetary Society. 69. 278–288. 1 indexed citations
13.
Brown, P. J., Peter W. A. Roming, & Peter Milne. (2015). The first ten years of Swift supernovae. Journal of High Energy Astrophysics. 7. 111–116. 5 indexed citations
14.
Milne, Peter & S. B. Cenko. (2011). GRB 110213A: Bok telescope redshift.. GCN. 11708. 1. 1 indexed citations
15.
Pietsch, W., M. Henze, V. Burwitz, et al.. (2010). M31N 1963-09c - Fourth recorded outburst of a recurrent nova in M 31 or a foreground U Gem system?. ATel. 3001. 1. 2 indexed citations
16.
Pietsch, W., M. Henze, V. Burwitz, et al.. (2010). Apparent Nova in M31: M31N 2010-12b. 2582. 2. 1 indexed citations
17.
Henze, M., W. Pietsch, G. Sala, et al.. (2009). The very short supersoft X-ray state of the classical nova M31N 2007-11a. Springer Link (Chiba Institute of Technology). 4 indexed citations
18.
Henze, M., W. Pietsch, V. Burwitz, et al.. (2008). Confirmation of a recent optical nova candidate in M 31 and H- alpha identification of seven M 31 novae. ATel. 1602. 1. 2 indexed citations
19.
Milne, Peter, David Dixon, M. D. Leising, et al.. (1999). OSSE Observations of Diffuse Galactic 511 KeV Emission. 38. 441. 1 indexed citations
20.
Bayley, F. J., et al.. (1961). Heat transfer by free convection in a liquid metal. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 265(1320). 97–108. 9 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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