Maxim Perelstein

7.2k total citations
65 papers, 3.4k citations indexed

About

Maxim Perelstein is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Maxim Perelstein has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Nuclear and High Energy Physics, 37 papers in Astronomy and Astrophysics and 6 papers in Artificial Intelligence. Recurrent topics in Maxim Perelstein's work include Particle physics theoretical and experimental studies (57 papers), Cosmology and Gravitation Theories (37 papers) and Dark Matter and Cosmic Phenomena (29 papers). Maxim Perelstein is often cited by papers focused on Particle physics theoretical and experimental studies (57 papers), Cosmology and Gravitation Theories (37 papers) and Dark Matter and Cosmic Phenomena (29 papers). Maxim Perelstein collaborates with scholars based in United States, United Kingdom and South Korea. Maxim Perelstein's co-authors include Michael E. Peskin, Zvi Bern, Lance J. Dixon, Joel Rozowsky, Andrew E. Noble, Andreas Birkedal, Aaron Pierce, Jay Hubisz, K. Matchev and David C. Dunbar and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Maxim Perelstein

64 papers receiving 3.3k citations

Peers

Maxim Perelstein
Comparison fields: 5 of 51
  • Nuclear and High Energy Physics 3.3k
  • Astronomy and Astrophysics 1.9k
  • Statistical and Nonlinear Physics 319
  • Atomic and Molecular Physics, and Optics 121
  • Artificial Intelligence 112
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Citations per field, relative to Maxim Perelstein
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Citations per year, relative to Maxim Perelstein
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Countries citing papers authored by Maxim Perelstein

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Perelstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxim Perelstein

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Perelstein. A scholar is included among the top collaborators of Maxim Perelstein 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 Maxim Perelstein. Maxim Perelstein 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
# Work Indexed citations
1 3
2 9
3 8
4 10
5 10
6 6
7 107
8
Cornell Dark Photon Search
1
9 25
10 4
11 15
12 8
13 31
14
Model Discrimination with the CMS Detector: a Case Study
3
15 3
16 3
17 74
18
Exploring New Physics Through Contact Interactions in Lepton Pair Production at a Linear Collider
2
19 1
20 274

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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