Biplob Bhattacherjee
- Nuclear and High Energy Physics top 2%
- Astronomy and Astrophysics top 5%
- Artificial Intelligence
- Statistical and Nonlinear Physics
- Computer Networks and Communications
- Co-authors
- Anirban KunduArghya ChoudhuryRahool Kumar BarmanAmit ChakrabortyTsutomu T. YanagidaSreerup RaychaudhuriShigeki MatsumotoShankha Banerjee
- Topics
- Particle physics theoretical and experimental studies (49 papers)Dark Matter and Cosmic Phenomena (21 papers)Black Holes and Theoretical Physics (19 papers)
- Partner nations
- IndiaJapanUnited Kingdom
In The Last Decade
Biplob Bhattacherjee
51 papers receiving 739 citations
Peers
Comparison fields: 5 of 18
- Nuclear and High Energy Physics 744
- Astronomy and Astrophysics 256
- Artificial Intelligence 36
- Statistical and Nonlinear Physics 23
- Computer Networks and Communications 12
Countries citing papers authored by Biplob Bhattacherjee
This map shows the geographic impact of Biplob Bhattacherjee'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 Biplob Bhattacherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biplob Bhattacherjee more than expected).
Fields of papers citing papers by Biplob Bhattacherjee
This network shows the impact of papers produced by Biplob Bhattacherjee. 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 Biplob Bhattacherjee. The network helps show where Biplob Bhattacherjee may publish in the future.
Co-authorship network of co-authors of Biplob Bhattacherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Biplob Bhattacherjee. A scholar is included among the top collaborators of Biplob Bhattacherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Biplob Bhattacherjee. Biplob Bhattacherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | Scope of self-interacting thermal WIMPs in a minimal U(1)(D) extension and its future prospects | 2 |
| 9 | Discrimination between prompt and long-lived particles using convolutional neural network | 3 |
| 10 | 20 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 18 | |
| 17 | 23 | |
| 18 | 54 | |
| 19 | 20 | |
| 20 | 0 |
About Biplob Bhattacherjee
Biplob Bhattacherjee is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation, having authored 52 papers that have together received 750 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (49 papers), Dark Matter and Cosmic Phenomena (21 papers) and Black Holes and Theoretical Physics (19 papers). The work is most often cited by research in Nuclear and High Energy Physics (744 citations), Astronomy and Astrophysics (256 citations) and Statistical and Nonlinear Physics (23 citations). Biplob Bhattacherjee has collaborated with scholars based in India, Japan and United Kingdom. Frequent co-authors include Anirban Kundu, Arghya Choudhury, Rahool Kumar Barman, Amit Chakraborty, Tsutomu T. Yanagida, Sreerup Raychaudhuri, Shigeki Matsumoto, Shankha Banerjee, Kirtiman Ghosh and Diptimoy Ghosh. Their work appears in journals such as Physical Review Letters, Physics Letters B and Journal of Physics D Applied Physics.
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.