Bibhash Sen
- Computational Theory and Mathematics top 0.5%
- Quantum-Dot Cellular Automata 64
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security 22
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- Advanced Memory and Neural Computing 56
- Semiconductor materials and devices 23
- Advancements in Semiconductor Devices and Circuit Design 15
- Integrated Circuits and Semiconductor Failure Analysis 12
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- Quantum and electron transport phenomena 16
- Artificial Intelligence top 10%
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- Neuroscience and Neural Engineering 12
- Co-authors
- Biplab K. SikdarMrinal GoswamiRajdeep Kumar NathRobert L. WheelerNeeraj Kumar MisraSubodh WairyaJayanta PalSubhra Mazumdar
- Cited by
- Computational Theory and MathematicsHardware and ArchitectureElectrical and Electronic Engineering
In The Last Decade
Bibhash Sen
88 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 42
- Computational Theory and Mathematics 1.0k
- Hardware and Architecture 161
- Electrical and Electronic Engineering 1.1k
- Atomic and Molecular Physics, and Optics 408
- Artificial Intelligence 170
Countries citing papers authored by Bibhash Sen
This map shows the geographic impact of Bibhash Sen'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 Bibhash Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bibhash Sen more than expected).
Fields of papers citing papers by Bibhash Sen
This network shows the impact of papers produced by Bibhash Sen. 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 Bibhash Sen. The network helps show where Bibhash Sen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bibhash Sen, 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 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 17 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2015 | 41 | |
| 19 | 2013 | 65 | |
| 20 | 2011 | 14 |
About Bibhash Sen
Bibhash Sen is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Structural Biology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 92 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (64 papers), Advanced Memory and Neural Computing (56 papers), Semiconductor materials and devices (23 papers), Physical Unclonable Functions (PUFs) and Hardware Security (22 papers), Quantum and electron transport phenomena (16 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers), Neuroscience and Neural Engineering (12 papers) and Integrated Circuits and Semiconductor Failure Analysis (12 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Hardware and Architecture (161 citations), Electrical and Electronic Engineering (1.1k citations), Atomic and Molecular Physics, and Optics (408 citations) and Artificial Intelligence (170 citations). Bibhash Sen has collaborated with scholars based in India, Türkiye and Singapore. Frequent co-authors include Biplab K. Sikdar, Mrinal Goswami, Rajdeep Kumar Nath, Robert L. Wheeler, Neeraj Kumar Misra, Subodh Wairya, Jayanta Pal, Subhra Mazumdar, Anirban Nag and Apu Kumar Saha. Their work appears in journals such as ACM Journal on Emerging Technologies in Computing Systems, Journal of Computational Electronics, Computers & Electrical Engineering, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and ACM Transactions on Embedded Computing Systems.
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.