Adarsh Pyarelal

37 total papers · 2.4k total citations
7 papers, 50 citations indexed

About

Adarsh Pyarelal is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Astronomy and Astrophysics. According to data from OpenAlex, Adarsh Pyarelal has authored 7 papers receiving a total of 50 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Nuclear and High Energy Physics and 1 paper in Astronomy and Astrophysics. Recurrent topics in Adarsh Pyarelal's work include Topic Modeling (3 papers), Particle physics theoretical and experimental studies (3 papers) and Natural Language Processing Techniques (3 papers). Adarsh Pyarelal is often cited by papers focused on Topic Modeling (3 papers), Particle physics theoretical and experimental studies (3 papers) and Natural Language Processing Techniques (3 papers). Adarsh Pyarelal collaborates with scholars based in United States. Adarsh Pyarelal's co-authors include Felix Kling, Shufang Su, Clayton T. Morrison, Marco A. Valenzuela-Escárcega, Ruihong Huang, Vikas Yadav, Zheng Tang, Kobus Barnard, Benjamin M. Gyori and Keith Alcock and has published in prestigious journals such as Journal of High Energy Physics, Science China Physics Mechanics and Astronomy and UA Campus Repository (The University of Arizona).

In The Last Decade

Adarsh Pyarelal

6 papers receiving 50 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Adarsh Pyarelal	35	15	9	8	4	7	50
M. J. Fenton	37 1.1×	22 1.5×	8 0.9×	4 0.5×	1 0.3×	6	57
S. Rappoccio	45 1.3×	11 0.7×	8 0.9×	2 0.3×		6	54
J. Dittmann	60 1.7×	12 0.8×	4 0.4×	3 0.4×		7	70
Silviu‐Marian Udrescu	26 0.7×	31 2.1×	2 0.2×	3 0.4×	2 0.5×	6	60
Jerry Shurman	18 0.5×	14 0.9×	4 0.4×	15 1.9×		9	238
J. Erdmann	44 1.3×	6 0.4×	3 0.3×	3 0.4×		10	53
C. Biscarat	23 0.7×	15 1.0×	3 0.3×	2 0.3×		6	41
Bob Stienen	49 1.4×	19 1.3×	14 1.6×		2 0.5×	5	58
T. C. Herwig	41 1.2×	11 0.7×	6 0.7×	3 0.4×	1 0.3×	9	61
G. H. Lewis	22 0.6×	6 0.4×	2 0.2×	9 1.1×	1 0.3×	6	69

Countries citing papers authored by Adarsh Pyarelal

Since Specialization

Citations

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

Fields of papers citing papers by Adarsh Pyarelal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adarsh Pyarelal

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

All Works

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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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