Atul Varshney
Impact in
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- Rheology and Fluid Dynamics Studies
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Thin Films
Papers in
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- Nuclear physics research studies 9
- Quantum Chromodynamics and Particle Interactions 3
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- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- Victor Steinberg (3 shared papers)Björn Hof (3 shared papers)Shankar Ghosh (7 shared papers)José M. López (2 shared papers)K. K. Gupta (8 shared papers)Deepti Gupta (8 shared papers)Yuvraj Singh (7 shared papers)Anand Yethiraj (4 shared papers)
In The Last Decade
Atul Varshney
24 papers receiving 306 citations
Peers
Comparison fields: 5 of 78
- Fluid Flow and Transfer Processes 93
- Computational Mechanics 132
- Nuclear and High Energy Physics 53
- Pulmonary and Respiratory Medicine 47
- Rheumatology 20
Countries citing papers authored by Atul Varshney
This map shows the geographic impact of Atul Varshney'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 Atul Varshney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Varshney more than expected).
Fields of papers citing papers by Atul Varshney
This network shows the impact of papers produced by Atul Varshney. 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 Atul Varshney. The network helps show where Atul Varshney may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul Varshney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 45 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 32 | |
| 4 | 2023 | 21 | |
| 5 | 2017 | 18 | |
| 6 | 2012 | 17 | |
| 7 | 2008 | 14 | |
| 8 | 2015 | 13 | |
| 9 | 2012 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2007 | 10 | |
| 13 | 2010 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2013 | 8 | |
| 16 | 2007 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2012 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2008 | 5 |
About Atul Varshney
Atul Varshney is a scholar working on Nuclear and High Energy Physics, Computational Mechanics, Atomic and Molecular Physics, and Optics, Materials Chemistry and Fluid Flow and Transfer Processes, having authored 28 papers that have together received 311 indexed citations. Recurring topics across this work include Nuclear physics research studies (9 papers), Fluid Dynamics and Turbulent Flows (4 papers), Rheology and Fluid Dynamics Studies (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Advanced Chemical Physics Studies (3 papers), Advanced NMR Techniques and Applications (3 papers) and Pickering emulsions and particle stabilization (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (93 citations), Computational Mechanics (132 citations), Nuclear and High Energy Physics (53 citations), Pulmonary and Respiratory Medicine (47 citations) and Rheumatology (20 citations). Atul Varshney has collaborated with scholars based in India, Austria and Israel. Frequent co-authors include Victor Steinberg, Björn Hof, Shankar Ghosh, José M. López, K. K. Gupta, Deepti Gupta, Yuvraj Singh, Anand Yethiraj, Sarbari Bhattacharya and Smita Gohil. Their work appears in journals such as Nature Communications, Soft Matter, Scientific Reports, Lab on a Chip and The Journal of Foot & Ankle Surgery.
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.