V. Kaushal

659 citations
7 papers · 407 indexed · h-index 7

Impact in

Papers in

    • Cold Atom Physics and Bose-Einstein Condensates 4
    • Advanced Frequency and Time Standards 2
    • Quantum Mechanics and Applications 2
    • Atomic and Subatomic Physics Research 1
    • Quantum Information and Cryptography 4
    • Quantum Computing Algorithms and Architecture 3

V. Kaushal

7 papers receiving 394 citations

Peers

V. Kaushal
Comparison fields: 5 of 38
  • Statistical and Nonlinear Physics 152
  • Atomic and Molecular Physics, and Optics 316
  • Artificial Intelligence 249
  • Computational Mathematics 1
  • Civil and Structural Engineering 34
Replace D. von Lindenfels with:
D. von Lindenfels Germany
Shiqian Ding Singapore
Stella Seah Singapore
Ali Asadian Austria
Katarzyna Macieszczak United Kingdom
Quentin Ficheux France
L. C. Wang China
Markus Henrich Germany
Davide Venturelli Italy
Stefano Zippilli Italy
V. Kaushal relative to D. von Lindenfels Germany D. von Lindenfels's profile →
Citations per field
00.5×
D. von Lindenfels · 1×
Citations per year

Countries citing papers authored by V. Kaushal

Since Specialization
Citations

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

Fields of papers citing papers by V. Kaushal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside V. Kaushal, 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 V. Kaushal Line = papers co-authored together V. Kaushal links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202071
2 2019159
3 201735
4 201736
5 201747
6 201619
7 201440

About V. Kaushal

V. Kaushal is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Mechanical Engineering and Infectious Diseases, having authored 7 papers that have together received 407 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (4 papers), Cold Atom Physics and Bose-Einstein Condensates (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Advanced Frequency and Time Standards (2 papers), Quantum Mechanics and Applications (2 papers), Heat Transfer and Optimization (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (152 citations), Atomic and Molecular Physics, and Optics (316 citations), Artificial Intelligence (249 citations), Computational Mathematics (1 citation) and Civil and Structural Engineering (34 citations). V. Kaushal has collaborated with scholars based in Germany, Ireland and United Kingdom. Frequent co-authors include F. Schmidt‐Kaler, Christian T. Schmiegelow, Ulrich Poschinger, J. Schulz, D. von Lindenfels, Thomas Ruster, Henning Kaufmann, John Goold, Mark T. Mitchison and A. Bermúdez. Their work appears in journals such as Physical Review Letters, Physical Review X, Physical review. A, Physical Review A and AVS Quantum Science.

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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