C. M. Copperwheat

9.0k total citations
82 papers, 1.7k citations indexed

About

C. M. Copperwheat is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, C. M. Copperwheat has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Astronomy and Astrophysics, 15 papers in Instrumentation and 9 papers in Computational Mechanics. Recurrent topics in C. M. Copperwheat's work include Stellar, planetary, and galactic studies (52 papers), Gamma-ray bursts and supernovae (44 papers) and Astrophysical Phenomena and Observations (34 papers). C. M. Copperwheat is often cited by papers focused on Stellar, planetary, and galactic studies (52 papers), Gamma-ray bursts and supernovae (44 papers) and Astrophysical Phenomena and Observations (34 papers). C. M. Copperwheat collaborates with scholars based in United Kingdom, United States and Chile. C. M. Copperwheat's co-authors include T. R. Marsh, S. P. Littlefair, V. S. Dhillon, B. T. Gänsicke, S. G. Parsons, E. Breedt, M. R. Schreiber, J. Southworth, D. Steeghs and M. C. P. Bours and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

C. M. Copperwheat

75 papers receiving 1.6k 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. M. Copperwheat United Kingdom 24 1.6k 401 109 94 73 82 1.7k
E. Alécian France 29 2.8k 1.7× 469 1.2× 160 1.5× 67 0.7× 41 0.6× 109 2.9k
A. Maggio Italy 23 1.9k 1.1× 218 0.5× 63 0.6× 78 0.8× 62 0.8× 85 1.9k
G. A. J. Hussain France 32 3.2k 1.9× 484 1.2× 106 1.0× 43 0.5× 34 0.5× 104 3.2k
R. Pallavicini Italy 27 2.3k 1.4× 357 0.9× 57 0.5× 154 1.6× 41 0.6× 142 2.3k
C. Neiner France 33 3.3k 2.0× 865 2.2× 273 2.5× 78 0.8× 64 0.9× 175 3.3k
Y. Lebreton France 20 1.6k 0.9× 731 1.8× 64 0.6× 62 0.7× 35 0.5× 101 1.6k
N. Piskunov Sweden 8 1.4k 0.8× 397 1.0× 40 0.4× 58 0.6× 56 0.8× 11 1.4k
H. Levato⋆ Argentina 19 1.2k 0.7× 357 0.9× 65 0.6× 32 0.3× 31 0.4× 77 1.2k
S. Talon Canada 23 1.9k 1.2× 432 1.1× 34 0.3× 156 1.7× 43 0.6× 47 2.0k
T. D. Oswalt United States 21 1.4k 0.8× 580 1.4× 72 0.7× 121 1.3× 19 0.3× 77 1.4k

Countries citing papers authored by C. M. Copperwheat

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Copperwheat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. M. Copperwheat

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Copperwheat. A scholar is included among the top collaborators of C. M. Copperwheat 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. M. Copperwheat. C. M. Copperwheat 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.
Copperwheat, C. M., et al.. (2023). Machine-learning applications for cataclysmic variable discovery in the ZTF alert stream. Monthly Notices of the Royal Astronomical Society. 527(3). 8633–8658. 1 indexed citations
2.
Copperwheat, C. M., et al.. (2022). Machine learning-based search for cataclysmic variables within Gaia Science Alerts. Monthly Notices of the Royal Astronomical Society. 517(3). 3362–3376. 4 indexed citations
3.
Andreoni, Igor, D. A. Goldstein, Tomás Ahumada, et al.. (2019). LIGO/Virgo S190814bv: Candidates identified in DECam images by the DECam-GROWTH team. GRB Coordinates Network. 25362. 1.
4.
Perley, D. A., C. M. Copperwheat, & K. Taggart. (2019). LIGO/Virgo S190425z: Liverpool Telescope spectroscopy of ZTF19aarykkb.. GCN. 24204. 1. 1 indexed citations
5.
Littlefair, S. P., S. G. Parsons, V. S. Dhillon, et al.. (2019). The evolutionary status of Cataclysmic Variables: eclipse modelling of 15 systems. Monthly Notices of the Royal Astronomical Society. 486(4). 5535–5551. 49 indexed citations
6.
Copperwheat, C. M., I. A. Steele, D. Bersier, et al.. (2017). LIGO/Virgo G299232: Liverpool Telescope observations. GRB Coordinates Network. 21755. 1. 1 indexed citations
7.
Steele, I. A., et al.. (2015). LIGO/Virgo G184098: Update to LT Spectroscopy of PS15ccx.. GCN. 18371. 1.
8.
Southworth, J., C. Tappert, B. T. Gänsicke, & C. M. Copperwheat. (2014). Orbital periods of cataclysmic variables identified by the SDSS. Astronomy and Astrophysics. 573. A61–A61. 12 indexed citations
9.
Marsh, T. R., S. G. Parsons, M. C. P. Bours, et al.. (2013). The planets around NN Serpentis: still there★. Monthly Notices of the Royal Astronomical Society. 437(1). 475–488. 56 indexed citations
10.
Maxted, P. F. L., Aldo Serenelli, A. Miglio, et al.. (2013). Multi-periodic pulsations of a stripped red-giant star in an eclipsing binary system. Nature. 498(7455). 463–465. 64 indexed citations
11.
Geier, S., U. Heber, H. Edelmann, et al.. (2013). Hot subdwarf stars in close-up view. Astronomy and Astrophysics. 557. A122–A122. 23 indexed citations
12.
Pyrzas, S., B. T. Gänsicke, S. G. Parsons, et al.. (2012). Post-common envelope binaries from SDSS - XV. Accurate stellar parameters for a cool 0.4 M⊙ white dwarf and a 0.16 M⊙ M dwarf in a 3 h eclipsing binary. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 49 indexed citations
13.
Hessman, F. V., K. Beuermann, Stefan Dreizler, et al.. (2011). The Planets around the post-Common Envelope Binary NN Serpentis. AIP conference proceedings. 281–286. 4 indexed citations
14.
Southworth, J. & C. M. Copperwheat. (2011). High-speed photometry of the eclipsing cataclysmic variable 1RXS J180834.7+101041. arXiv (Cornell University). 131. 66. 3 indexed citations
15.
Gladstone, Jeanette C., et al.. (2011). Optical counterparts to ultraluminous x-ray sources. 77. 1 indexed citations
16.
Southworth, J., T. R. Marsh, B. T. Gänsicke, D. Steeghs, & C. M. Copperwheat. (2010). Orbital periods of cataclysmic variables identified by the SDSS. Astronomy and Astrophysics. 524. A86–A86. 5 indexed citations
17.
Schwarz, R., A. Schwope, J. Vogel, et al.. (2009). Hunting high and low: XMM monitoring of the eclipsing polar HU Aquarii. Springer Link (Chiba Institute of Technology). 19 indexed citations
18.
Southworth, J., C. M. Copperwheat, B. T. Gänsicke, & S. Pyrzas. (2009). Orbital periods of cataclysmic variables identified by the SDSS. Astronomy and Astrophysics. 510. A100–A100. 12 indexed citations
19.
Bentley, S. J., C. Hellier, P. F. L. Maxted, et al.. (2009). A stellar flare during the transit of the extrasolar planet OGLE-TR-10b. Astronomy and Astrophysics. 505(2). 901–902. 5 indexed citations
20.
Southworth, J., T. R. Marsh, A. Rebassa–Mansergas, et al.. (2009). Orbital periods of cataclysmic variables identified by the SDSS. Astronomy and Astrophysics. 507(2). 929–937. 19 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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