Auditya Sharma

792 citations
39 papers · 528 · h-index 14

Impact in

Papers in

Auditya Sharma

38 papers receiving 517 citations

Peers

Auditya Sharma
Comparison fields: 5 of 32
  • Statistical and Nonlinear Physics 255
  • Condensed Matter Physics 177
  • Atomic and Molecular Physics, and Optics 438
  • Acoustics and Ultrasonics 11
  • Artificial Intelligence 135
Replace Michael Buchhold with:
Michael Buchhold Germany
Matteo Marcuzzi United Kingdom
G. Vallée France
M. A. Bastarrachea-Magnani Mexico
R. Dubertrand France
Tobias Micklitz Germany
Tomasz Sowiński Poland
A. Mildenberger Germany
P. Buonsante Italy
Rafael Mottl Switzerland
Auditya Sharma relative to Michael Buchhold Germany Michael Buchhold's profile →
Citations per field
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Michael Buchhold · 1×
Citations per year

Countries citing papers authored by Auditya Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Auditya Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Auditya Sharma, 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 Auditya Sharma Line = papers co-authored together Auditya Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 200765
3 202133
4 201532
5 201031
6 201825
7 201519
8 202019
9 201918
10 201116
11 201916
12 202013
13 201113
14 202313
15 202012
16 201812
17 201911
18 201811
19 202211
20 20219

About Auditya Sharma

Auditya Sharma is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Statistical and Nonlinear Physics, Artificial Intelligence and Economics and Econometrics, having authored 39 papers that have together received 528 indexed citations. Recurring topics across this work include Quantum many-body systems (26 papers), Theoretical and Computational Physics (14 papers), Quantum and electron transport phenomena (8 papers), Quantum Information and Cryptography (7 papers), Physics of Superconductivity and Magnetism (6 papers), Complex Systems and Time Series Analysis (6 papers), Quantum chaos and dynamical systems (5 papers) and Cold Atom Physics and Bose-Einstein Condensates (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (255 citations), Condensed Matter Physics (177 citations), Atomic and Molecular Physics, and Optics (438 citations), Acoustics and Ultrasonics (11 citations) and Artificial Intelligence (135 citations). Auditya Sharma has collaborated with scholars based in India, Israel and United States. Frequent co-authors include J. M. Deutsch, Haibin Li, A. P. Young, J. Karthik, Arul Lakshminarayan, Eran Rabani, Simone Paganelli, Andrea Trombettoni, Pasquale Sodano and M. A. Moore. Their work appears in journals such as Physical review. B., Physical review. A, Physical Review B, Physical review. E and Journal of Physics Condensed Matter.

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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