Sakyasingha Dasgupta
Impact in
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- Advanced Neural Network Applications
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- Neural dynamics and brain function
Papers in
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- Neural Networks and Reservoir Computing 7
- Reinforcement Learning in Robotics 3
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- Robotic Path Planning Algorithms 3
- Advanced Neural Network Applications 3
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Poramate Manoonpong (12 shared papers)Florentin Wörgötter (12 shared papers)Takayuki Osogami (1 shared paper)Yiyu Shi (4 shared papers)Weiwen Jiang (4 shared papers)Lei Yang (2 shared papers)Jingtong Hu (3 shared papers)Dennis Goldschmidt (4 shared papers)
- Journals
- BMC Neuroscience (2 papers)Frontiers in Neurorobotics (2 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2 papers)Information Sciences (1 paper)Frontiers in Neural Circuits (1 paper)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Sakyasingha Dasgupta
22 papers receiving 439 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 134
- Cognitive Neuroscience 94
- Artificial Intelligence 172
- Hardware and Architecture 31
- Computational Mathematics 2
Countries citing papers authored by Sakyasingha Dasgupta
This map shows the geographic impact of Sakyasingha Dasgupta'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 Sakyasingha Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sakyasingha Dasgupta more than expected).
Fields of papers citing papers by Sakyasingha Dasgupta
This network shows the impact of papers produced by Sakyasingha Dasgupta. 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 Sakyasingha Dasgupta. The network helps show where Sakyasingha Dasgupta may publish in the future.
Co-authors
The 24 scholars most cited alongside Sakyasingha Dasgupta, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2017 | 49 | |
| 3 | 2020 | 47 | |
| 4 | 2014 | 42 | |
| 5 | 2013 | 31 | |
| 6 | 2015 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2015 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2021 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2014 | 10 | |
| 13 | 2017 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 4 | |
| 18 | FGNAS: FPGA-Aware Graph Neural Architecture Search | 2021 | 3 |
| 19 | 2021 | 2 | |
| 20 | Efficient Signal Processing in Random Networks that Generate Variability: A Comparison of Internally Generated and Externally Induced Variability | 2016 | 1 |
About Sakyasingha Dasgupta
Sakyasingha Dasgupta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering, having authored 23 papers that have together received 448 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Advanced Memory and Neural Computing (7 papers), Neural Networks and Reservoir Computing (7 papers), Robotic Locomotion and Control (4 papers), Robotic Path Planning Algorithms (3 papers), Advanced Neural Network Applications (3 papers), Reinforcement Learning in Robotics (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Cognitive Neuroscience (94 citations), Artificial Intelligence (172 citations), Hardware and Architecture (31 citations) and Computational Mathematics (2 citations). Sakyasingha Dasgupta has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Poramate Manoonpong, Florentin Wörgötter, Takayuki Osogami, Yiyu Shi, Weiwen Jiang, Lei Yang, Jingtong Hu, Dennis Goldschmidt, Qingfeng Zhuge and Edwin H.‐M. Sha. Their work appears in journals such as BMC Neuroscience, Frontiers in Neurorobotics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Information Sciences and Frontiers in Neural Circuits.
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.