T. Bose
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Black Holes and Theoretical Physics
- Dark Matter and Cosmic Phenomena
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- Gestational Diabetes Research and Management
Papers in
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- Particle physics theoretical and experimental studies 2
- Particle Detector Development and Performance 1
- Quantum Chromodynamics and Particle Interactions 1
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- Superconducting Materials and Applications 2
- Co-authors
- Irina Illina (1 shared paper)Νικόλαος Αλέτρας (1 shared paper)Dominique Fohr (1 shared paper)K. Lannon (1 shared paper)L. A. T. Bauerdick (1 shared paper)Christophe Grojean (1 shared paper)Saba Sehrish (1 shared paper)A. Pukhov (1 shared paper)
- Journals
- Pramana (1 paper)Journal of Human Ecology (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)OpenBU (Boston University) (1 paper)EPJ Web of Conferences (1 paper)
- Partner nations
- IndiaPhilippinesUnited States
In The Last Decade
T. Bose
4 papers receiving 19 citations
Peers
Comparison fields: 5 of 9
- Nuclear and High Energy Physics 12
- Obstetrics and Gynecology 2
- Astronomy and Astrophysics 3
- Pediatrics, Perinatology and Child Health 2
- Artificial Intelligence 4
Countries citing papers authored by T. Bose
This map shows the geographic impact of T. Bose'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. Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Bose more than expected).
Fields of papers citing papers by T. Bose
This network shows the impact of papers produced by T. Bose. 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. Bose. The network helps show where T. Bose may publish in the future.
Co-authors
The 22 scholars most cited alongside T. Bose, 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 | 2008 | 12 | |
| 2 | 2022 | 4 | |
| 3 | 2005 | 3 | |
| 4 | 1976 | 1 | |
| 5 | 2024 | 0 |
About T. Bose
T. Bose is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering, Surgery, Artificial Intelligence and Obstetrics and Gynecology, having authored 5 papers that have together received 20 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (2 papers), Particle physics theoretical and experimental studies (2 papers), Gestational Diabetes Research and Management (1 paper), Particle Detector Development and Performance (1 paper), Hate Speech and Cyberbullying Detection (1 paper), Quantum Chromodynamics and Particle Interactions (1 paper), Bariatric Surgery and Outcomes (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (12 citations), Obstetrics and Gynecology (2 citations), Astronomy and Astrophysics (3 citations), Pediatrics, Perinatology and Child Health (2 citations) and Artificial Intelligence (4 citations). T. Bose has collaborated with scholars based in India, Philippines and United States. Frequent co-authors include Irina Illina, Νικόλαος Αλέτρας, Dominique Fohr, K. Lannon, L. A. T. Bauerdick, Christophe Grojean, Saba Sehrish, A. Pukhov, R. Rosenfeld and D. Mason. Their work appears in journals such as Pramana, Journal of Human Ecology, Findings of the Association for Computational Linguistics: ACL 2022, OpenBU (Boston University) and EPJ Web of Conferences.
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.