Charles Alcock

997 total citations
30 papers, 372 citations indexed

About

Charles Alcock is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Charles Alcock has authored 30 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Charles Alcock's work include Stellar, planetary, and galactic studies (20 papers), Astro and Planetary Science (15 papers) and Planetary Science and Exploration (11 papers). Charles Alcock is often cited by papers focused on Stellar, planetary, and galactic studies (20 papers), Astro and Planetary Science (15 papers) and Planetary Science and Exploration (11 papers). Charles Alcock collaborates with scholars based in United States, Taiwan and South Korea. Charles Alcock's co-authors include Pavlos Protopapas, Carla E. Brodley, Umaa Rebbapragada, J. Giammarco, Dae Won Kim, R. Dave, Roni Khardon, Markos Trichas, Yong-Ik Byun and Mitchell F. Struble and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

Charles Alcock

26 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Alcock United States 9 196 108 107 64 44 30 372
Karim Pichara Chile 13 321 1.6× 69 0.6× 83 0.8× 113 1.8× 97 2.2× 28 506
Michelle Lochner South Africa 11 241 1.2× 21 0.2× 50 0.5× 56 0.9× 38 0.9× 21 336
Sang‐Yun Oh United States 8 308 1.6× 13 0.1× 56 0.5× 23 0.4× 23 0.5× 21 528
Markus Michael Rau United States 12 222 1.1× 18 0.2× 76 0.7× 80 1.3× 18 0.4× 28 342
Leslie V. Foster United States 9 30 0.2× 26 0.2× 57 0.5× 12 0.2× 53 1.2× 16 271
Matthew R. Templeton United States 13 367 1.9× 79 0.7× 80 0.7× 55 0.9× 32 0.7× 41 540
Christopher Bonnett Spain 7 294 1.5× 9 0.1× 44 0.4× 157 2.5× 12 0.3× 8 341
E. Valiante United Kingdom 9 400 2.0× 8 0.1× 202 1.9× 143 2.2× 12 0.3× 16 678
Ted Kremenek United States 7 612 3.1× 82 0.8× 92 0.9× 49 0.8× 13 0.3× 7 879
Paul Bristow Germany 11 280 1.4× 4 0.0× 43 0.4× 137 2.1× 21 0.5× 60 444

Countries citing papers authored by Charles Alcock

Since Specialization
Citations

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

Fields of papers citing papers by Charles Alcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Alcock

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Alcock. A scholar is included among the top collaborators of Charles Alcock 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 Charles Alcock. Charles Alcock 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.
Emami, Razieh, Xuejian Shen, Lars Hernquist, et al.. (2024). Gas Morphology of Milky Way–like Galaxies in the TNG50 Simulation: Signals of Twisting and Stretching. The Astrophysical Journal. 961(2). 193–193.
2.
Emami, Razieh, Lars Hernquist, Mark Vogelsberger, et al.. (2022). On the Robustness of the Velocity Anisotropy Parameter in Probing the Stellar Kinematics in Milky Way–Like Galaxies: Takeaway from TNG50 Simulation. The Astrophysical Journal. 937(1). 20–20. 4 indexed citations
3.
Wang, Shiang‐Yu, B.‐J. Wang, Hsin-Yo Chen, et al.. (2022). The mosaic CMOS wide field camera for transneptunian automatic occultation survey. 9908. 28–28. 1 indexed citations
4.
Emami, Razieh, Lars Hernquist, Charles Alcock, et al.. (2021). Inferring the Morphology of Stellar Distribution in TNG50: Twisted and Twisted-stretched Shapes. The Astrophysical Journal. 918(1). 7–7. 10 indexed citations
5.
Lehner, M. J., Shiang‐Yu Wang, M. Reyes‐Ruiz, et al.. (2016). Status of the Transneptunian Automated Occultation Survey (TAOS II). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9906. 99065M–99065M. 4 indexed citations
6.
Kim, Dae Won, Pavlos Protopapas, Yong-Ik Byun, et al.. (2011). QUASI-STELLAR OBJECT SELECTION ALGORITHM USING TIME VARIABILITY AND MACHINE LEARNING: SELECTION OF 1620 QUASI-STELLAR OBJECT CANDIDATES FROM MACHO LARGE MAGELLANIC CLOUD DATABASE. The Astrophysical Journal. 735(2). 68–68. 59 indexed citations
7.
Kenter, A., Ralph Kraft, S. S. Murray, Charles Alcock, & Thomas Gauron. (2011). Laboratory prototype camera for the Whipple Mission: a mission to detect and categorize small objects in our solar system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8146. 814612–814612. 1 indexed citations
8.
Kim, Dae Won, Pavlos Protopapas, Markos Trichas, et al.. (2011). A Refined QSO Selection Method Using Diagnostics. Proceedings of the International Astronomical Union. 7(S285). 344–346.
9.
Frogel, J. A., Charles Alcock, Michael Bolte, et al.. (2009). Frontier Science and Adaptive Optics On Existing and Next Generation Telescopes. 2010. 16.
10.
Rebbapragada, Umaa, Pavlos Protopapas, Carla E. Brodley, & Charles Alcock. (2008). Finding anomalous periodic time series. Machine Learning. 74(3). 281–313. 95 indexed citations
11.
Kallivayalil, Nitya, Roeland P. van der Marel, Jay Anderson, Gurtina Besla, & Charles Alcock. (2008). New analysis of the proper motions of the Magellanic Clouds using HST/WFPC2. Proceedings of the International Astronomical Union. 4(S256). 93–98. 2 indexed citations
12.
Wang, J.-H., Megan E. Schwamb, K. Y. Huang, et al.. (2008). Early Optical Brightening in GRB 071010B. The Astrophysical Journal. 679(1). L5–L8. 5 indexed citations
13.
Lehner, M. J., et al.. (2007). Detectability of Occultations of Stars by Objects in the Kuiper Belt and Oort Cloud. The Astronomical Journal. 134(4). 1596–1612. 29 indexed citations
14.
Alcock, Charles, T. S. Axelrod, K. H. Cook, et al.. (2006). Search for Small Trans-Neptunian Objects by the TAOS Project. 2 indexed citations
15.
Protopapas, Pavlos, J. Giammarco, L. Faccioli, et al.. (2006). Finding outlier light curves in catalogues of periodic variable stars. Monthly Notices of the Royal Astronomical Society. 369(2). 677–696. 52 indexed citations
16.
17.
King, S.‐K., Charles Alcock, Y.‐I. Byun, et al.. (2003). Fast CCD Photometry in the Taiwan-America Occultation Survey. Open Astronomy. 12(4). 568–573. 1 indexed citations
18.
Schmidt, B., et al.. (2003). Initial Results from the Southern Edgeworth-Kuiper belt Survey. Earth Moon and Planets. 92(1-4). 125–130. 5 indexed citations
19.
Nelson, C. A., K. H. Cook, T. S. Axelrod, J. R. Mould, & Charles Alcock. (2002). A Proper‐Motion Survey for White Dwarfs with the Wide Field Planetary Camera 2. The Astrophysical Journal. 573(2). 644–661. 20 indexed citations
20.
Axelrod, T. S., et al.. (1992). A direct census of the Oort Cloud with a robotic telescope.. ASPC. 103. 171–181. 2 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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