Abhiroop Bhattacharjee
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
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- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 21
- Ferroelectric and Negative Capacitance Devices 15
- Semiconductor materials and devices 3
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- Advanced Neural Network Applications 8
- Co-authors
- Priyadarshini Panda (23 shared papers)Abhishek Moitra (19 shared papers)Youngeun Kim (6 shared papers)Youngeun Kim (3 shared papers)Gokul Krishnan (1 shared paper)Yu Kevin Cao (1 shared paper)Sven Ingebrandt (1 shared paper)Xuan Thang Vu (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (4 papers)ACM Transactions on Design Automation of Electronic Systems (2 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)IEEE Transactions on Emerging Topics in Computational Intelligence (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Abhiroop Bhattacharjee
26 papers receiving 263 citations
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 216
- Cognitive Neuroscience 65
- Cellular and Molecular Neuroscience 47
- Artificial Intelligence 84
- Hardware and Architecture 14
Countries citing papers authored by Abhiroop Bhattacharjee
This map shows the geographic impact of Abhiroop Bhattacharjee'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 Abhiroop Bhattacharjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhiroop Bhattacharjee more than expected).
Fields of papers citing papers by Abhiroop Bhattacharjee
This network shows the impact of papers produced by Abhiroop Bhattacharjee. 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 Abhiroop Bhattacharjee. The network helps show where Abhiroop Bhattacharjee may publish in the future.
Co-authors
The 24 scholars most cited alongside Abhiroop Bhattacharjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2022 | 44 | |
| 3 | 2021 | 26 | |
| 4 | 2023 | 25 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 12 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Abhiroop Bhattacharjee
Abhiroop Bhattacharjee is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence and Cognitive Neuroscience, having authored 28 papers that have together received 264 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (15 papers), Advanced Neural Network Applications (8 papers), Adversarial Robustness in Machine Learning (5 papers), Neural dynamics and brain function (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (216 citations), Cognitive Neuroscience (65 citations), Cellular and Molecular Neuroscience (47 citations), Artificial Intelligence (84 citations) and Hardware and Architecture (14 citations). Abhiroop Bhattacharjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Priyadarshini Panda, Abhishek Moitra, Youngeun Kim, Youngeun Kim, Gokul Krishnan, Yu Kevin Cao, Sven Ingebrandt, Xuan Thang Vu, Vivek Pachauri and Kavindra Kandpal. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Emerging Topics in Computing and IEEE Transactions on Emerging Topics in Computational Intelligence.
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.