S. Sen
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
Papers in
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- Power Systems Fault Detection 3
- Machine Fault Diagnosis Techniques 2
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- Smart Grid and Power Systems 2
- Co-authors
- S. Chekanov (3 shared papers)Nhan Viet Tran (2 shared papers)Praveen Agarwal (1 shared paper)Jayashree Behera (3 shared papers)A. V. Kotwal (1 shared paper)S. S. Yu (3 shared papers)L. Gray (1 shared paper)N. V. Tran (1 shared paper)
- Journals
- Journal of Instrumentation (2 papers)Medical Journal Armed Forces India (1 paper)Indian Journal of Sexually Transmitted Diseases and AIDS (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- IndiaTaiwanUnited States
In The Last Decade
S. Sen
6 papers receiving 12 citations
Peers
Comparison fields: 5 of 12
- Nuclear and High Energy Physics 7
- Small Animals 1
- Artificial Intelligence 4
- Radiation 1
- Safety, Risk, Reliability and Quality 1
Countries citing papers authored by S. Sen
This map shows the geographic impact of S. Sen'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. Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sen more than expected).
Fields of papers citing papers by S. Sen
This network shows the impact of papers produced by S. Sen. 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. Sen. The network helps show where S. Sen may publish in the future.
Co-authors
The 11 scholars most cited alongside S. Sen, 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 | 2017 | 5 | |
| 2 | 2022 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 1 | |
| 7 | 2022 | 0 | |
| 8 | 2025 | 0 |
About S. Sen
S. Sen is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Nuclear and High Energy Physics, Infectious Diseases and Surgery, having authored 8 papers that have together received 12 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (3 papers), High-Energy Particle Collisions Research (3 papers), Power Systems Fault Detection (3 papers), Smart Grid and Power Systems (2 papers), Machine Fault Diagnosis Techniques (2 papers), Syphilis Diagnosis and Treatment (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (7 citations), Small Animals (1 citation), Artificial Intelligence (4 citations), Radiation (1 citation) and Safety, Risk, Reliability and Quality (1 citation). S. Sen has collaborated with scholars based in India, Taiwan and United States. Frequent co-authors include S. Chekanov, Nhan Viet Tran, Praveen Agarwal, Jayashree Behera, A. V. Kotwal, S. S. Yu, L. Gray, N. V. Tran, Tapan Kumar Sahoo and A. Kotwal. Their work appears in journals such as Journal of Instrumentation, Medical Journal Armed Forces India, Indian Journal of Sexually Transmitted Diseases and AIDS and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.