Uma Mahanta

57 total papers · 531 total citations
33 papers, 370 citations indexed

About

Uma Mahanta is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Uma Mahanta has authored 33 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Nuclear and High Energy Physics, 9 papers in Astronomy and Astrophysics and 2 papers in Artificial Intelligence. Recurrent topics in Uma Mahanta's work include Particle physics theoretical and experimental studies (30 papers), Black Holes and Theoretical Physics (18 papers) and Quantum Chromodynamics and Particle Interactions (17 papers). Uma Mahanta is often cited by papers focused on Particle physics theoretical and experimental studies (30 papers), Black Holes and Theoretical Physics (18 papers) and Quantum Chromodynamics and Particle Interactions (17 papers). Uma Mahanta collaborates with scholars based in India and United States. Uma Mahanta's co-authors include Thomas Appelquist, Kenneth Lane, Anindya Datta, Prasanta Kumar Das, Pankaj Agrawal, L. C. R. Wijewardhana, D. Nash, Subhendra Mohanty and T. K. Kuo and has published in prestigious journals such as Physical Review Letters, Physics Letters B and The European Physical Journal C.

In The Last Decade

Uma Mahanta

32 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Uma Mahanta 361 96 21 9 7 33 370
Prerit Jaiswal 374 1.0× 90 0.9× 15 0.7× 4 0.4× 17 2.4× 15 388
Xiao-Yong Jin 383 1.1× 89 0.9× 20 1.0× 30 3.3× 9 1.3× 24 404
Marcela Carena 409 1.1× 130 1.4× 19 0.9× 9 1.0× 17 2.4× 20 422
H. J. Lubatti 393 1.1× 54 0.6× 42 2.0× 11 1.2× 3 0.4× 30 433
Ryan Plestid 363 1.0× 78 0.8× 54 2.6× 5 0.6× 7 1.0× 33 389
Rodolfo A. Díaz 297 0.8× 56 0.6× 26 1.2× 7 0.8× 15 2.1× 24 351
Alfonso Sastre 265 0.7× 158 1.6× 17 0.8× 11 1.2× 9 1.3× 30 344
Bibhushan Shakya 426 1.2× 257 2.7× 24 1.1× 6 0.7× 15 2.1× 30 443
Ignasi Rosell 405 1.1× 30 0.3× 8 0.4× 7 0.8× 8 1.1× 25 408
Dubravko Klabučar 346 1.0× 23 0.2× 24 1.1× 13 1.4× 5 0.7× 40 358

Countries citing papers authored by Uma Mahanta

Since Specialization
Citations

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

Fields of papers citing papers by Uma Mahanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Mahanta

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Mahanta. A scholar is included among the top collaborators of Uma Mahanta 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 Uma Mahanta. Uma Mahanta 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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