Sumedh R. Risbud
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 5
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- Neural Networks and Reservoir Computing 4
- Co-authors
- G. A. Fonseca Guerra (3 shared papers)Yulia Sandamirskaya (1 shared paper)Garrick Orchard (1 shared paper)Prasad Joshi (1 shared paper)Mike Davies (1 shared paper)Andreas Wild (2 shared papers)Germán Drazer (4 shared papers)James W. Swan (1 shared paper)
- Journals
- Applied Physics Letters (1 paper)Soft Matter (1 paper)Proceedings of the IEEE (1 paper)IEEE Robotics & Automation Magazine (1 paper)Microfluidics and Nanofluidics (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Sumedh R. Risbud
12 papers receiving 441 citations
Sumedh R. Risbud's Hit Papers
Peers
Comparison fields: 5 of 64
- Cognitive Neuroscience 132
- Electrical and Electronic Engineering 336
- Artificial Intelligence 159
- Cellular and Molecular Neuroscience 77
- Condensed Matter Physics 14
Countries citing papers authored by Sumedh R. Risbud
This map shows the geographic impact of Sumedh R. Risbud'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 Sumedh R. Risbud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumedh R. Risbud more than expected).
Fields of papers citing papers by Sumedh R. Risbud
This network shows the impact of papers produced by Sumedh R. Risbud. 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 Sumedh R. Risbud. The network helps show where Sumedh R. Risbud may publish in the future.
Co-authors
The 24 scholars most cited alongside Sumedh R. Risbud, 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 | Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook Hit paper breakdown → | 2021 | 332 |
| 2 | 2022 | 33 | |
| 3 | 2014 | 19 | |
| 4 | 2015 | 14 | |
| 5 | 2011 | 12 | |
| 6 | 2023 | 8 | |
| 7 | 2014 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2013 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Sumedh R. Risbud
Sumedh R. Risbud is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Cellular and Molecular Neuroscience and Physical and Theoretical Chemistry, having authored 13 papers that have together received 445 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Neural Networks and Reservoir Computing (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Electrostatics and Colloid Interactions (2 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (132 citations), Electrical and Electronic Engineering (336 citations), Artificial Intelligence (159 citations), Cellular and Molecular Neuroscience (77 citations) and Condensed Matter Physics (14 citations). Sumedh R. Risbud has collaborated with scholars based in United States, India and Germany. Frequent co-authors include G. A. Fonseca Guerra, Yulia Sandamirskaya, Garrick Orchard, Prasad Joshi, Mike Davies, Andreas Wild, Germán Drazer, James W. Swan, Maryam Parsa and Mingxiang Luo. Their work appears in journals such as Applied Physics Letters, Soft Matter, Proceedings of the IEEE, IEEE Robotics & Automation Magazine and Microfluidics and Nanofluidics.
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.