Abhik Basu
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Micro and Nano Robotics
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- Theoretical and Computational Physics 33
- Micro and Nano Robotics 11
-
- Stochastic processes and statistical mechanics 17
- Co-authors
- K. K. BardhanSriraṁ RamaswamyRahul PanditJayanta K. BhattacharjeeDibyendu DasMustansir BarmaFrank JülicherJacques Prost
In The Last Decade
Abhik Basu
61 papers receiving 532 citations
Peers
Comparison fields: 5 of 74
- Condensed Matter Physics 254
- Mathematical Physics 106
- Statistical and Nonlinear Physics 104
- Hardware and Architecture 53
- Statistics and Probability 61
Countries citing papers authored by Abhik Basu
This map shows the geographic impact of Abhik Basu'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 Abhik Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhik Basu more than expected).
Fields of papers citing papers by Abhik Basu
This network shows the impact of papers produced by Abhik Basu. 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 Abhik Basu. The network helps show where Abhik Basu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhik Basu, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 4 | |
| 11 | 2017 | 7 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 10 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 2 | |
| 16 | 2012 | 3 | |
| 17 | 2012 | 2 | |
| 18 | 2012 | 7 | |
| 19 | 2001 | 24 | |
| 20 | U-Net: A User-Level Network Interface for Parallel and Distributed Computing | 1997 | 72 |
About Abhik Basu
Abhik Basu is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistical and Nonlinear Physics, Statistics and Probability and Computer Networks and Communications, having authored 65 papers that have together received 550 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (33 papers), Advanced Thermodynamics and Statistical Mechanics (20 papers), Stochastic processes and statistical mechanics (17 papers), Micro and Nano Robotics (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Spectroscopy and Quantum Chemical Studies (9 papers), Fluid Dynamics and Turbulent Flows (9 papers) and Material Dynamics and Properties (6 papers). The work is most often cited by research in Condensed Matter Physics (254 citations), Mathematical Physics (106 citations), Statistical and Nonlinear Physics (104 citations), Hardware and Architecture (53 citations) and Statistics and Probability (61 citations). Abhik Basu has collaborated with scholars based in India, Germany and France. Frequent co-authors include K. K. Bardhan, Sriraṁ Ramaswamy, Rahul Pandit, Jayanta K. Bhattacharjee, Dibyendu Das, Mustansir Barma, Frank Jülicher, Jacques Prost, Sujan Dhar and Anirban Sain. Their work appears in journals such as Physical review. E, The European Physical Journal E, Physical Review Letters, Physical Review Research and Scientific Reports.
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.