Abhishek Moitra
Impact in
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- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 18
- Ferroelectric and Negative Capacitance Devices 13
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- Adversarial Robustness in Machine Learning 5
- Cryptography and Data Security 2
- Co-authors
- Priyadarshini Panda (25 shared papers)Youngeun Kim (7 shared papers)Youngeun Kim (4 shared papers)Yuhang Li (4 shared papers)Yu Cao (1 shared paper)Gokul Krishnan (1 shared paper)Kazuyoshi Tsutsui (1 shared paper)Arnab Banerjee (1 shared paper)
- Journals
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (4 papers)IEEE Transactions on Emerging Topics in Computational Intelligence (2 papers)Neural Networks (1 paper)IEEE Transactions on Emerging Topics in Computing (1 paper)Journal of Experimental Zoology Part A Ecological and Integrative Physiology (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Abhishek Moitra
26 papers receiving 230 citations
Peers
Comparison fields: 5 of 41
- Computational Mathematics 3
- Cognitive Neuroscience 62
- Electrical and Electronic Engineering 183
- Artificial Intelligence 85
- Cellular and Molecular Neuroscience 40
Countries citing papers authored by Abhishek Moitra
This map shows the geographic impact of Abhishek Moitra'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 Abhishek Moitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Moitra more than expected).
Fields of papers citing papers by Abhishek Moitra
This network shows the impact of papers produced by Abhishek Moitra. 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 Abhishek Moitra. The network helps show where Abhishek Moitra may publish in the future.
Co-authors
The 20 scholars most cited alongside Abhishek Moitra, 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 | 53 | |
| 2 | 2022 | 39 | |
| 3 | 2023 | 24 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Abhishek Moitra
Abhishek Moitra is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 28 papers that have together received 232 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (18 papers), Ferroelectric and Negative Capacitance Devices (13 papers), Advanced Neural Network Applications (7 papers), Neural dynamics and brain function (7 papers), Adversarial Robustness in Machine Learning (5 papers), Cryptography and Data Security (2 papers), Neuroscience and Neural Engineering (2 papers) and Digital Filter Design and Implementation (2 papers). The work is most often cited by research in Computational Mathematics (3 citations), Cognitive Neuroscience (62 citations), Electrical and Electronic Engineering (183 citations), Artificial Intelligence (85 citations) and Cellular and Molecular Neuroscience (40 citations). Abhishek Moitra has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Priyadarshini Panda, Youngeun Kim, Youngeun Kim, Yuhang Li, Yu Cao, Gokul Krishnan, Kazuyoshi Tsutsui, Arnab Banerjee, A. Amalin Prince and Rachel Sterneck. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Neural Networks, IEEE Transactions on Emerging Topics in Computing and Journal of Experimental Zoology Part A Ecological and Integrative Physiology.
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.