Mathew McCaskey

1.2k total citations · 1 hit paper
9 papers, 794 citations indexed

About

Mathew McCaskey is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Infectious Diseases. According to data from OpenAlex, Mathew McCaskey has authored 9 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 6 papers in Astronomy and Astrophysics and 0 papers in Infectious Diseases. Recurrent topics in Mathew McCaskey's work include Particle physics theoretical and experimental studies (9 papers), Dark Matter and Cosmic Phenomena (6 papers) and Cosmology and Gravitation Theories (6 papers). Mathew McCaskey is often cited by papers focused on Particle physics theoretical and experimental studies (9 papers), Dark Matter and Cosmic Phenomena (6 papers) and Cosmology and Gravitation Theories (6 papers). Mathew McCaskey collaborates with scholars based in United States and Israel. Mathew McCaskey's co-authors include V. Barger, Gabe Shaughnessy, Paul Langacker, Michael J. Ramsey-Musolf, Kyoungchul Kong, Mihailo Backović, Yu Gao, Daniel Noonan, P. Baringer and Marc Sher and has published in prestigious journals such as Journal of High Energy Physics, Physics of the Dark Universe and Physical review. D. Particles, fields, gravitation, and cosmology.

In The Last Decade

Mathew McCaskey

9 papers receiving 792 citations

Hit Papers

CERN LHC phenomenology of an extended standard model with... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathew McCaskey United States 8 785 530 24 16 10 9 794
Arjun Menon United States 14 733 0.9× 394 0.7× 27 1.1× 25 1.6× 10 1.0× 22 747
Bob McElrath United States 14 1.2k 1.5× 447 0.8× 23 1.0× 26 1.6× 10 1.0× 20 1.2k
A. Semenov Russia 5 785 1.0× 502 0.9× 22 0.9× 23 1.4× 9 0.9× 10 795
Florian Goertz Germany 14 810 1.0× 312 0.6× 29 1.2× 25 1.6× 6 0.6× 42 822
Katri Huitu Finland 20 1.3k 1.7× 409 0.8× 20 0.8× 12 0.8× 13 1.3× 103 1.3k
M. Kakizaki Japan 17 757 1.0× 522 1.0× 36 1.5× 16 1.0× 4 0.4× 32 790
Andrea Tesi Italy 19 977 1.2× 506 1.0× 32 1.3× 27 1.7× 10 1.0× 31 1.0k
Sudhir K. Vempati India 14 819 1.0× 242 0.5× 29 1.2× 29 1.8× 7 0.7× 45 834
G. Moultaka France 15 999 1.3× 457 0.9× 15 0.6× 26 1.6× 23 2.3× 36 1.0k
Hock-Seng Goh United States 12 1.1k 1.4× 371 0.7× 26 1.1× 12 0.8× 11 1.1× 15 1.1k

Countries citing papers authored by Mathew McCaskey

Since Specialization
Citations

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

Fields of papers citing papers by Mathew McCaskey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew McCaskey

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew McCaskey. A scholar is included among the top collaborators of Mathew McCaskey 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 Mathew McCaskey. Mathew McCaskey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Backović, Mihailo, Kyoungchul Kong, & Mathew McCaskey. (2014). MadDM v.1.0: Computation of dark matter relic abundance using MadGraph 5. Physics of the Dark Universe. 5-6. 18–28. 40 indexed citations
2.
Kong, Kyoungchul, Mathew McCaskey, & G. Wilson. (2012). Multi-lepton signals from the top-prime quark at the LHC. Journal of High Energy Physics. 2012(4). 7 indexed citations
3.
Baringer, P., Kyoungchul Kong, Mathew McCaskey, & Daniel Noonan. (2011). Revisiting combinatorial ambiguities at Hadron Colliders with M T2. Journal of High Energy Physics. 2011(10). 27 indexed citations
4.
Barger, V., Mathew McCaskey, & Gabe Shaughnessy. (2010). Complex scalar dark mattervis-à-visCoGeNT, DAMA/LIBRA, and XENON100. Physical review. D. Particles, fields, gravitation, and cosmology. 82(3). 71 indexed citations
5.
McCaskey, Mathew, et al.. (2010). Supersymmetric model with Dirac neutrino masses. Physical review. D. Particles, fields, gravitation, and cosmology. 81(5). 12 indexed citations
6.
Barger, V., Yu Gao, Mathew McCaskey, & Gabe Shaughnessy. (2010). Light Higgs boson, light dark matter, and gamma rays. Physical review. D. Particles, fields, gravitation, and cosmology. 82(9). 26 indexed citations
7.
Barger, V., Mathew McCaskey, & Gabe Shaughnessy. (2010). Single top and Higgs associated production at the LHC. Physical review. D. Particles, fields, gravitation, and cosmology. 81(3). 25 indexed citations
8.
Barger, V., Paul Langacker, Mathew McCaskey, Michael J. Ramsey-Musolf, & Gabe Shaughnessy. (2009). Complex singlet extension of the standard model. Physical review. D. Particles, fields, gravitation, and cosmology. 79(1). 236 indexed citations
9.
Barger, V., Paul Langacker, Mathew McCaskey, Michael J. Ramsey-Musolf, & Gabe Shaughnessy. (2008). CERN LHC phenomenology of an extended standard model with a real scalar singlet. Physical review. D. Particles, fields, gravitation, and cosmology. 77(3). 350 indexed citations breakdown →

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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