Sagar Chowdhury
- Condensed Matter Physics top 5%
- Micro and Nano Robotics 15
- Biomedical Engineering top 5%
- Microfluidic and Bio-sensing Technologies 19
- Soft Robotics and Applications 5
- Molecular Communication and Nanonetworks 3
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- Orbital Angular Momentum in Optics 16
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence 7
- Biophysics top 10%
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- Cellular Mechanics and Interactions 5
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- Electrowetting and Microfluidic Technologies 4
- Co-authors
- Satyandra K. GuptaWolfgang LosertDavid J. CappelleriWuming JingChenlu WangAshis G. BanerjeePetr ŠvecAtul Thakur
- Journals
- Nanoscale (1 paper)The International Journal of Robotics Research (1 paper)Journal of Magnetism and Magnetic Materials (1 paper)
- Partner nations
- United StatesIndiaBangladesh
In The Last Decade
Sagar Chowdhury
46 papers receiving 969 citations
Peers
Comparison fields: 5 of 93
- Condensed Matter Physics 461
- Biomedical Engineering 750
- Atomic and Molecular Physics, and Optics 364
- Mechanical Engineering 280
- Biophysics 32
Countries citing papers authored by Sagar Chowdhury
This map shows the geographic impact of Sagar Chowdhury'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 Sagar Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagar Chowdhury more than expected).
Fields of papers citing papers by Sagar Chowdhury
This network shows the impact of papers produced by Sagar Chowdhury. 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 Sagar Chowdhury. The network helps show where Sagar Chowdhury may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sagar Chowdhury, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 14 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 35 | |
| 6 | Visceral Adiposity Index Score is the Better Predictor of Clinical and Coronary Angiographic Severity Assessment than Other Adiposity Indices in Patients with Acute Coronary Syndrome. | 2019 | 5 |
| 7 | 2015 | 51 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 24 | |
| 11 | 2013 | 11 | |
| 12 | 2013 | 40 | |
| 13 | 2013 | 7 | |
| 14 | 2013 | 3 | |
| 15 | 2012 | 21 | |
| 16 | 2012 | 67 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2011 | 61 | |
| 20 | 2007 | 1 |
About Sagar Chowdhury
Sagar Chowdhury is a scholar working on Condensed Matter Physics, Biomedical Engineering and Architecture, having authored 48 papers that have together received 988 indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (19 papers), Orbital Angular Momentum in Optics (16 papers), Micro and Nano Robotics (15 papers), Modular Robots and Swarm Intelligence (7 papers), Cellular Mechanics and Interactions (5 papers), Soft Robotics and Applications (5 papers), Electrowetting and Microfluidic Technologies (4 papers) and Molecular Communication and Nanonetworks (3 papers). The work is most often cited by research in Condensed Matter Physics (461 citations), Biomedical Engineering (750 citations) and Atomic and Molecular Physics, and Optics (364 citations). Sagar Chowdhury has collaborated with scholars based in United States, India and Bangladesh. Frequent co-authors include Satyandra K. Gupta, Wolfgang Losert, David J. Cappelleri, Wuming Jing, Chenlu Wang, Ashis G. Banerjee, Petr Švec, Atul Thakur, Benjamin Johnson and Maria Guix. Their work appears in journals such as Nanoscale, The International Journal of Robotics Research and Journal of Magnetism and Magnetic Materials.
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.