R. Srikanth

2.0k citations
103 papers · 1.3k · h-index 18

Impact in

Papers in

R. Srikanth

94 papers receiving 1.2k citations

Peers

R. Srikanth
Comparison fields: 5 of 92
  • Artificial Intelligence 949
  • Atomic and Molecular Physics, and Optics 813
  • Statistical and Nonlinear Physics 143
  • Astronomy and Astrophysics 127
  • Computational Theory and Mathematics 108
Replace Yichen Huang with:
Yichen Huang United States
Costantino Budroni Austria
Carlo Cafaro United States
Paolo Mason France
Łukasz Rudnicki Poland
Claude‐Alain Pillet France
Binayak S. Choudhury India
Marek Czachor Poland
Michael Keyl Germany
Andrzej Jamiołkowski Poland
R. Srikanth relative to Yichen Huang United States Yichen Huang's profile →
Citations per field
00.5×2.7×
Yichen Huang · 1×
Citations per year

Countries citing papers authored by R. Srikanth

Since Specialization
Citations

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

Fields of papers citing papers by R. Srikanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Srikanth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Srikanth Line = papers co-authored together R. Srikanth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005102
2 200884
3 200883
4 201073
5 201065
6 200957
7 201446
8 200744
9 201543
10 201843
11 202036
12 201131
13 201026
14 201224
15 200024
16 201221
17 200820
18 202018
19 202017
20 201516

About R. Srikanth

R. Srikanth is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Astronomy and Astrophysics and Molecular Biology, having authored 103 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (69 papers), Quantum Mechanics and Applications (55 papers), Quantum Computing Algorithms and Architecture (52 papers), Solar and Space Plasma Dynamics (13 papers), Quantum and electron transport phenomena (10 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Geomagnetism and Paleomagnetism Studies (7 papers) and Stellar, planetary, and galactic studies (5 papers). The work is most often cited by research in Artificial Intelligence (949 citations), Atomic and Molecular Physics, and Optics (813 citations), Statistical and Nonlinear Physics (143 citations), Astronomy and Astrophysics (127 citations) and Computational Theory and Mathematics (108 citations). R. Srikanth has collaborated with scholars based in India, South Africa and Canada. Frequent co-authors include Subhashish Banerjee, C. M. Chandrashekar, Sudhir Kumar Singh, Anirban Pathak, Jagdev Singh, Raymond Laflamme, Francesco Petruccione, C Joiner, Chitra Shukla and V. Krishan. Their work appears in journals such as Physical review. A, Physical Review A, Quantum Information Processing, Physics Letters A and Solar Physics.

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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