S. Mohapatra
- Nuclear and High Energy Physics top 10%
- High-Energy Particle Collisions Research 12
- Quantum Chromodynamics and Particle Interactions 12
- Particle physics theoretical and experimental studies 10
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- Statistical Distribution Estimation and Applications 1
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- Nuclear reactor physics and engineering 1
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- Machine Learning in Bioinformatics 2
- Fractal and DNA sequence analysis 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- J. JiaF. HalzenM. C. González-GarcíaP. HuoJitendra Kumar DasSarita NandaS. K. RadhakrishnanR. Wei
- Journals
- Physical Review Letters (1 paper)SHILAP Revista de lepidopterología (1 paper)Nuclear Physics A (4 papers)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
S. Mohapatra
16 papers receiving 141 citations
Peers
Comparison fields: 5 of 15
- Nuclear and High Energy Physics 129
- Astronomy and Astrophysics 23
- Statistics and Probability 5
- Aerospace Engineering 12
- Food Science 4
Countries citing papers authored by S. Mohapatra
This map shows the geographic impact of S. Mohapatra'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 S. Mohapatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Mohapatra more than expected).
Fields of papers citing papers by S. Mohapatra
This network shows the impact of papers produced by S. Mohapatra. 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 S. Mohapatra. The network helps show where S. Mohapatra may publish in the future.
Co-authorship network
The 20 scholars most cited alongside S. Mohapatra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 4 | |
| 4 | 2021 | 3 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 0 | |
| 7 | 2016 | 1 | |
| 8 | 2014 | 3 | |
| 9 | 2014 | 21 | |
| 10 | 2013 | 15 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 25 | |
| 13 | Measurement of the azimuthal anisotropy for charged particle production in Pb+Pb collisions at sNN =2.76 TeV and in p+Pb collisions at sNN =5.02 TeV with the ATLAS detector at the LHC | 2013 | 1 |
| 14 | 2013 | 3 | |
| 15 | 2013 | 0 | |
| 16 | 2012 | 2 | |
| 17 | 2009 | 12 | |
| 18 | 2009 | 45 |
About S. Mohapatra
S. Mohapatra is a scholar working on Nuclear and High Energy Physics, Statistics and Probability and Aerospace Engineering, having authored 18 papers that have together received 145 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (12 papers), Quantum Chromodynamics and Particle Interactions (12 papers), Particle physics theoretical and experimental studies (10 papers), Machine Learning in Bioinformatics (2 papers), Fractal and DNA sequence analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), Statistical Distribution Estimation and Applications (1 paper) and Nuclear reactor physics and engineering (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (129 citations), Astronomy and Astrophysics (23 citations) and Statistics and Probability (5 citations). S. Mohapatra has collaborated with scholars based in United States, India and Spain. Frequent co-authors include J. Jia, F. Halzen, M. C. González-García, P. Huo, Jitendra Kumar Das, Sarita Nanda, S. K. Radhakrishnan, R. Wei, Joan Nyika and N. N. Ajitanand. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nuclear Physics A.
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.