Cormac Purcell

3.7k total citations
52 papers, 1.7k citations indexed

About

Cormac Purcell is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Spectroscopy. According to data from OpenAlex, Cormac Purcell has authored 52 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 15 papers in Nuclear and High Energy Physics and 11 papers in Spectroscopy. Recurrent topics in Cormac Purcell's work include Astrophysics and Star Formation Studies (30 papers), Stellar, planetary, and galactic studies (19 papers) and Astrophysics and Cosmic Phenomena (15 papers). Cormac Purcell is often cited by papers focused on Astrophysics and Star Formation Studies (30 papers), Stellar, planetary, and galactic studies (19 papers) and Astrophysics and Cosmic Phenomena (15 papers). Cormac Purcell collaborates with scholars based in Australia, United Kingdom and United States. Cormac Purcell's co-authors include Andrew Walsh, Steven N. Longmore, M. G. Hoare, S. L. Lumsden, J. S. Urquhart, B. M. Gaensler, Tony Wong, Michael Burton, T. J. T. Moore and M. Haverkorn and has published in prestigious journals such as Nature, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Cormac Purcell

51 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
Cormac Purcell Australia 23 1.4k 401 346 137 70 52 1.7k
Steven N. Longmore United Kingdom 33 2.9k 2.0× 241 0.6× 554 1.6× 248 1.8× 10 0.1× 114 3.2k
A. R. Martel United States 22 1.9k 1.4× 476 1.2× 32 0.1× 54 0.4× 20 0.3× 64 2.1k
Hum Chand India 15 821 0.6× 430 1.1× 43 0.1× 208 1.5× 5 0.1× 53 1.2k
Giovanni Rosotti United Kingdom 33 2.9k 2.0× 44 0.1× 970 2.8× 137 1.0× 8 0.1× 127 3.0k
M. Jardine United Kingdom 40 5.1k 3.5× 156 0.4× 64 0.2× 72 0.5× 11 0.2× 159 5.1k
Steven R. Cranmer United States 33 3.6k 2.5× 232 0.6× 12 0.0× 118 0.9× 19 0.3× 114 3.8k
Sandra Labrecque Canada 6 1.0k 0.7× 172 0.4× 19 0.1× 35 0.3× 14 0.2× 8 1.2k
T. Wevers United States 18 918 0.6× 246 0.6× 12 0.0× 34 0.2× 27 0.4× 45 1.0k
Jean‐Philippe Beaulieu France 21 1.4k 0.9× 39 0.1× 167 0.5× 202 1.5× 4 0.1× 95 1.5k
Caitlin M. Casey United States 26 2.8k 1.9× 344 0.9× 73 0.2× 23 0.2× 6 0.1× 80 2.9k

Countries citing papers authored by Cormac Purcell

Since Specialization
Citations

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

Fields of papers citing papers by Cormac Purcell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cormac Purcell

This figure shows the co-authorship network connecting the top 25 collaborators of Cormac Purcell. A scholar is included among the top collaborators of Cormac Purcell 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 Cormac Purcell. Cormac Purcell 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.
Parr, James F., et al.. (2024). Live Twinning: A Vision of ML Enabled Assets in Leo for Rapid Response to Natural Catastrophes. 685–688. 1 indexed citations
2.
Mateo‐García, Gonzalo, Cormac Purcell, Nicolas Longépé, et al.. (2023). In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery. Scientific Reports. 13(1). 10391–10391. 25 indexed citations
3.
Mateo‐García, Gonzalo, et al.. (2023). Global flood extent segmentation in optical satellite images. Scientific Reports. 13(1). 20316–20316. 19 indexed citations
4.
Colefax, Andrew P., Andrew Walsh, Cormac Purcell, & Paul A. Butcher. (2023). Utility of Spectral Filtering to Improve the Reliability of Marine Fauna Detections from Drone-Based Monitoring. Sensors. 23(22). 9193–9193. 6 indexed citations
5.
Dawson, J. R., P. A. Jones, Cormac Purcell, et al.. (2022). SPLASH: the Southern Parkes Large-Area Survey in Hydroxyl – data description and release. Monthly Notices of the Royal Astronomical Society. 512(3). 3345–3364. 8 indexed citations
6.
Purcell, Cormac, Andrew Walsh, Andrew P. Colefax, & Paul A. Butcher. (2022). Assessing the ability of deep learning techniques to perform real-time identification of shark species in live streaming video from drones. Frontiers in Marine Science. 9. 9 indexed citations
7.
Butcher, Paul A., Andrew P. Colefax, Robert Gorkin, et al.. (2021). The Drone Revolution of Shark Science: A Review. Drones. 5(1). 8–8. 93 indexed citations
8.
Purcell, Cormac, et al.. (2021). Analyzing the Intrinsic Magnetic Field in the Galactic Center Radio Arc. The Astrophysical Journal. 923(1). 82–82. 5 indexed citations
9.
Purcell, Cormac, et al.. (2020). RM-Tools: Rotation measure (RM) synthesis and Stokes QU-fitting. Astrophysics Source Code Library. 6 indexed citations
10.
Hoare, M. G., J. S. Urquhart, S. Kurtz, et al.. (2018). The coordinated radio and infrared survey for high-mass star formation. Astronomy and Astrophysics. 615. A103–A103. 24 indexed citations
11.
Hoare, M. G., R. D. Oudmaijer, J. S. Urquhart, et al.. (2018). The coordinated radio and infrared survey for high-mass star formation – IV. A new radio-selected sample of compact galactic planetary nebulae. Monthly Notices of the Royal Astronomical Society. 480(2). 2423–2448. 8 indexed citations
12.
Green, A. J., Michael Burton, Kate Brooks, et al.. (2017). The Carina Nebula and Gum 31 molecular complex – II. The distribution of the atomic gas revealed in unprecedented detail. Monthly Notices of the Royal Astronomical Society. 472(2). 1685–1704. 9 indexed citations
13.
Farnes, J. S., B. M. Gaensler, Cormac Purcell, et al.. (2017). Interacting large-scale magnetic fields and ionized gas in the W50/SS433 system. Monthly Notices of the Royal Astronomical Society. 467(4). 4777–4801. 18 indexed citations
14.
Russeil, D., C. Adami, L. D. Anderson, et al.. (2016). NGC 6334 and NGC 6357: Hαkinematics and the nature of the H II regions. Astronomy and Astrophysics. 587. A135–A135. 12 indexed citations
15.
Carretti, E., Roland M. Crocker, L. Staveley‐Smith, et al.. (2013). Giant magnetized outflows from the centre of the Milky Way. Nature. 493(7430). 66–69. 130 indexed citations
16.
Urquhart, J. S., M. G. Hoare, Cormac Purcell, et al.. (2009). The RMS survey. Astronomy and Astrophysics. 501(2). 539–551. 108 indexed citations
17.
Purcell, Cormac, V. Minier, Steven N. Longmore, et al.. (2009). Multi-generation massive star-formation in NGC 3576. Astronomy and Astrophysics. 504(1). 139–159. 12 indexed citations
18.
Purcell, Cormac, M. G. Hoare, & P. J. Diamond. (2008). The CORNISH Survey of the Galactic Plane. ASPC. 387. 389. 2 indexed citations
19.
Urquhart, J. S., A. L. Busfield, M. G. Hoare, et al.. (2007). The RMS survey. Astronomy and Astrophysics. 474(3). 891–901. 60 indexed citations
20.
Minier, V., Michael Burton, T. Hill, et al.. (2005). Star-forming protoclusters associated with methanol masers. Springer Link (Chiba Institute of Technology). 58 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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