T. Sinha
Impact in
-
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Astrophysics and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Nuclear physics research studies
Papers in
-
- Dark Matter and Cosmic Phenomena 2
- Quantum Chromodynamics and Particle Interactions 2
- Particle physics theoretical and experimental studies 2
- High-Energy Particle Collisions Research 2
- Particle Detector Development and Performance 1
- Astrophysics and Cosmic Phenomena 1
- Neutrino Physics Research 1
-
- Computational Physics and Python Applications 1
- Co-authors
- Vishwajeet Jha (1 shared paper)Pradip Roy (2 shared papers)Partha Pratim Bhaduri (2 shared papers)Md Samsul Islam (2 shared papers)W. Bari (1 shared paper)
- Journals
- International Journal of Modern Physics A (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)International Journal of Modern Physics E (1 paper)The European Physical Journal Plus (1 paper)
- Partner nations
- India
In The Last Decade
T. Sinha
4 papers receiving 10 citations
Peers
Comparison fields: 4 of 4
- Nuclear and High Energy Physics 11
- Radiation 1
- Mechanics of Materials 1
- Artificial Intelligence 1
Countries citing papers authored by T. Sinha
This map shows the geographic impact of T. Sinha'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 T. Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sinha more than expected).
Fields of papers citing papers by T. Sinha
This network shows the impact of papers produced by T. Sinha. 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 T. Sinha. The network helps show where T. Sinha may publish in the future.
Co-authors
The 5 scholars most cited alongside T. Sinha, 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 | 2021 | 8 | |
| 2 | 2022 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 1 |
About T. Sinha
T. Sinha is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 4 papers that have together received 11 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Particle Detector Development and Performance (1 paper), Computational Physics and Python Applications (1 paper), Astrophysics and Cosmic Phenomena (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (11 citations), Radiation (1 citation), Mechanics of Materials (1 citation), Artificial Intelligence (1 citation) and Infectious Diseases (0 citations). T. Sinha has collaborated with scholars based in India. Frequent co-authors include Vishwajeet Jha, Pradip Roy, Partha Pratim Bhaduri, Md Samsul Islam and W. Bari. Their work appears in journals such as International Journal of Modern Physics A, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Modern Physics E and The European Physical Journal Plus.
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.