V. Singhal
Impact in
-
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
Papers in
-
- Particle physics theoretical and experimental studies 7
- Particle Detector Development and Performance 7
- High-Energy Particle Collisions Research 5
-
- Distributed and Parallel Computing Systems 2
- Co-authors
- Priya Sen (1 shared paper)Deepika Kumari (1 shared paper)Pawan Kumar Sharma (1 shared paper)Z. Ahammed (1 shared paper)V. Friese (1 shared paper)A. K. Dubey (2 shared papers)S. Chattopadhyay (4 shared papers)P. K. Gupta (1 shared paper)
In The Last Decade
V. Singhal
12 papers receiving 21 citations
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 8
- Complementary and alternative medicine 2
- Management Information Systems 2
- Hardware and Architecture 1
- Physiology 3
Countries citing papers authored by V. Singhal
This map shows the geographic impact of V. Singhal'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. Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Singhal more than expected).
Fields of papers citing papers by V. Singhal
This network shows the impact of papers produced by V. Singhal. 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. Singhal. The network helps show where V. Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Singhal, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 1990 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2015 | 2 | |
| 6 | 2021 | 2 | |
| 7 | Real time data analysis using GPU for High energy physics experiments | 2012 | 2 |
| 8 | 2024 | 1 | |
| 9 | 2019 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 1982 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2023 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 1997 | 0 | |
| 20 | 2020 | 0 |
About V. Singhal
V. Singhal is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Surgery, Pathology and Forensic Medicine and Information Systems, having authored 22 papers that have together received 24 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (7 papers), High-Energy Particle Collisions Research (5 papers), Distributed and Parallel Computing Systems (2 papers), Brain Tumor Detection and Classification (1 paper), Photodynamic Therapy Research Studies (1 paper), Vehicle License Plate Recognition (1 paper) and Laser Material Processing Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (8 citations), Complementary and alternative medicine (2 citations), Management Information Systems (2 citations), Hardware and Architecture (1 citation) and Physiology (3 citations). V. Singhal has collaborated with scholars based in India, Germany and Egypt. Frequent co-authors include Priya Sen, Deepika Kumari, Pawan Kumar Sharma, Z. Ahammed, V. Friese, A. K. Dubey, S. Chattopadhyay, P. K. Gupta, Jai P. Mittal and J. Saini. Their work appears in journals such as Journal of Instrumentation, Chemical Physics Letters, Heliyon, Computers in Biology and Medicine and Computer Physics Communications.
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.