C. R. Angus

2.6k total citations
20 papers, 421 citations indexed

About

C. R. Angus is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, C. R. Angus has authored 20 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Astronomy and Astrophysics, 6 papers in Nuclear and High Energy Physics and 4 papers in Instrumentation. Recurrent topics in C. R. Angus's work include Gamma-ray bursts and supernovae (16 papers), Stellar, planetary, and galactic studies (8 papers) and Astrophysical Phenomena and Observations (6 papers). C. R. Angus is often cited by papers focused on Gamma-ray bursts and supernovae (16 papers), Stellar, planetary, and galactic studies (8 papers) and Astrophysical Phenomena and Observations (6 papers). C. R. Angus collaborates with scholars based in United Kingdom, Denmark and United States. C. R. Angus's co-authors include A. J. Levan, J. Lyman, D. A. Perley, A. S. Fruchter, N. R. Tanvir, E. R. Stanway, J. Hjorth, H. Sana, A. Herrero and G. Gräfener and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

C. R. Angus

15 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. R. Angus United Kingdom 10 407 101 87 7 6 20 421
K. Azalee Bostroem United States 12 475 1.2× 91 0.9× 98 1.1× 6 0.9× 12 2.0× 36 488
J. Japelj Italy 15 448 1.1× 124 1.2× 75 0.9× 8 1.1× 9 1.5× 29 452
R. Sánchez-Ramírez Spain 12 369 0.9× 107 1.1× 56 0.6× 3 0.4× 6 1.0× 42 375
Kevin McKinnon United States 5 239 0.6× 78 0.8× 78 0.9× 9 1.3× 4 0.7× 10 251
R. E. A. Canning United States 12 381 0.9× 77 0.8× 68 0.8× 14 2.0× 5 0.8× 15 385
Anca Constantin United States 8 400 1.0× 77 0.8× 114 1.3× 6 0.9× 3 0.5× 13 404
Y. C. Pan United States 14 534 1.3× 179 1.8× 76 0.9× 3 0.4× 4 0.7× 26 548
S. Vattakunnel Italy 7 325 0.8× 160 1.6× 70 0.8× 7 1.0× 3 0.5× 10 336
Steven R. Ehlert United States 8 319 0.8× 86 0.9× 89 1.0× 6 0.9× 5 0.8× 10 322
Orsolya E. Kovács United States 7 292 0.7× 59 0.6× 65 0.7× 8 1.1× 3 0.5× 12 325

Countries citing papers authored by C. R. Angus

Since Specialization
Citations

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

Fields of papers citing papers by C. R. Angus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. R. Angus. 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 C. R. Angus. The network helps show where C. R. Angus may publish in the future.

Co-authorship network of co-authors of C. R. Angus

This figure shows the co-authorship network connecting the top 25 collaborators of C. R. Angus. A scholar is included among the top collaborators of C. R. Angus 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 C. R. Angus. C. R. Angus 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.
Magill, D.T., M. Fulton, M. Nicholl, et al.. (2025). Super-SNID: An Expanded Set of SNID Classes and Templates for the New Era of Wide-field Surveys. Research Notes of the AAS. 9(4). 78–78.
2.
Izzo, L., Yossef Zenati, R. J. Foley, et al.. (2024). SN 2022oqm: A Bright and Multipeaked Calcium-rich Transient. The Astrophysical Journal. 972(2). 194–194. 2 indexed citations
3.
Gall, C., J. Hjorth, L. Christensen, et al.. (2024). Origin of the Strong Sodium Absorption of the Lensed Supernova 2016geu at z = 0.4. The Astrophysical Journal. 972(1). 114–114.
4.
Pursiainen, M., G. Leloudas, S. Schulze, et al.. (2023). SN 2023emq: A Flash-ionized Ibn Supernova with Possible C iii Emission. The Astrophysical Journal Letters. 959(1). L10–L10. 5 indexed citations
5.
Tamborra, Irene, et al.. (2022). Is the High-energy Neutrino Event IceCube-200530A Associated with a Hydrogen-rich Superluminous Supernova?. The Astrophysical Journal. 929(2). 163–163. 15 indexed citations
6.
Paulino-Afonso, Ana, S. González–Gaitán, L. Galbany, et al.. (2022). Systematic errors on optical-SED stellar-mass estimates for galaxies across cosmic time and their impact on cosmology. Astronomy and Astrophysics. 662. A86–A86. 5 indexed citations
7.
Pérez-García, M. Ángeles, L. Izzo, Mattia Bulla, et al.. (2022). Hubble constant and nuclear equation of state from kilonova spectro-photometric light curves. Astronomy and Astrophysics. 666. A67–A67. 9 indexed citations
8.
Srivastav, Shubham, S. J. Smartt, M. E. Huber, et al.. (2022). SN 2020kyg and the rates of faint Iax supernovae from ATLAS. Monthly Notices of the Royal Astronomical Society. 511(2). 2708–2731. 13 indexed citations
9.
Izzo, L., Katie Auchettl, J. Hjorth, et al.. (2020). Broad-line type Ic SN 2020bvc. Astronomy and Astrophysics. 639. L11–L11. 23 indexed citations
10.
Frohmaier, C., C. R. Angus, M. Vincenzi, et al.. (2020). From core collapse to superluminous: the rates of massive stellar explosions from the Palomar Transient Factory. Monthly Notices of the Royal Astronomical Society. 500(4). 5142–5158. 28 indexed citations
11.
Nicholl, M., P. Short, S. J. Smartt, et al.. (2019). LIGO/Virgo S190425z - ePESSTO+ spectrum of PS19qp shows red featureless source at z=0.037.. GRB Coordinates Network. 24217. 1.
12.
Short, P., M. Nicholl, S. J. Smartt, et al.. (2019). LIGO/Virgo S190425z - ePESSTO+ NTT spectrum of candidate PS19qo.. GCN. 24215. 1. 1 indexed citations
13.
Nicholl, M., P. Short, J. P. Anderson, et al.. (2019). LIGO/Virgo S190425z - ePESSTO+ NTT observations.. GRB Coordinates Network. 24211. 1.
14.
Vincenzi, M., M. Sullivan, R. E. Firth, et al.. (2019). Spectrophotometric templates for core-collapse supernovae and their application in simulations of time-domain surveys. Monthly Notices of the Royal Astronomical Society. 489(4). 5802–5821. 26 indexed citations
15.
Chrimes, A A, et al.. (2018). Investigating a population of infrared-bright gamma-ray burst host galaxies. Monthly Notices of the Royal Astronomical Society. 478(1). 2–27. 14 indexed citations
16.
Lyman, J., A. J. Levan, N. R. Tanvir, et al.. (2017). The host galaxies and explosion sites of long-duration gamma ray bursts: Hubble Space Telescope near-infrared imaging. Monthly Notices of the Royal Astronomical Society. stx220–stx220. 63 indexed citations
17.
Lyman, J., A. J. Levan, P. A. James, et al.. (2016). Hubble Space Telescopeobservations of the host galaxies and environments of calcium-rich supernovae. Monthly Notices of the Royal Astronomical Society. 458(2). 1768–1777. 18 indexed citations
18.
Crowther, P. A., S. M. Caballero‐Nieves, K. Azalee Bostroem, et al.. (2016). The R136 star cluster dissected withHubble Space Telescope/STIS. I. Far-ultraviolet spectroscopic census and the origin of He ii λ1640 in young star clusters. Monthly Notices of the Royal Astronomical Society. 458(1). 624–659. 148 indexed citations
19.
Angus, C. R., A. J. Levan, D. A. Perley, et al.. (2016). AHubble Space Telescopesurvey of the host galaxies of Superluminous Supernovae. Monthly Notices of the Royal Astronomical Society. 458(1). 84–104. 51 indexed citations
20.
Angus, C. R., A. J. Levan, & D. A. Perley. (2015). Hunting for the faintest hosts of the brightest supernovae. Proceedings of the International Astronomical Union. 11(A29B). 259–260.

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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