Sumedh R. Risbud
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
-
- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
-
- Advanced Memory and Neural Computing 8
- Ferroelectric and Negative Capacitance Devices 5
-
- Neural Networks and Reservoir Computing 4
- Co-authors
- G. A. Fonseca Guerra (3 shared papers)Andreas Wild (2 shared papers)Yulia Sandamirskaya (1 shared paper)Garrick Orchard (1 shared paper)Mike Davies (1 shared paper)Prasad Joshi (1 shared paper)Germán Drazer (4 shared papers)James W. Swan (1 shared paper)
- Journals
- IEEE Robotics & Automation Magazine (1 paper)Applied Physics Letters (1 paper)Soft Matter (1 paper)Microfluidics and Nanofluidics (1 paper)Physics of Fluids (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Sumedh R. Risbud
13 papers receiving 490 citations
Sumedh R. Risbud's Hit Papers
Peers
Comparison fields: 5 of 67
- Cognitive Neuroscience 138
- Electrical and Electronic Engineering 366
- Artificial Intelligence 175
- Cellular and Molecular Neuroscience 83
- Hardware and Architecture 9
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 | 371 |
| 2 | 2022 | 36 | |
| 3 | 2014 | 19 | |
| 4 | 2015 | 15 | |
| 5 | 2011 | 12 | |
| 6 | 2023 | 9 | |
| 7 | 2014 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2013 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 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 14 papers that have together received 493 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Microfluidic and Bio-sensing Technologies (4 papers), Neural Networks and Reservoir Computing (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Electrostatics and Colloid Interactions (2 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Pickering emulsions and particle stabilization (1 paper). The work is most often cited by research in Cognitive Neuroscience (138 citations), Electrical and Electronic Engineering (366 citations), Artificial Intelligence (175 citations), Cellular and Molecular Neuroscience (83 citations) and Hardware and Architecture (9 citations). Sumedh R. Risbud has collaborated with scholars based in United States, Germany and India. Frequent co-authors include G. A. Fonseca Guerra, Andreas Wild, Yulia Sandamirskaya, Garrick Orchard, Mike Davies, Prasad Joshi, Germán Drazer, James W. Swan, Maryam Parsa and Garrett T. Kenyon. Their work appears in journals such as IEEE Robotics & Automation Magazine, Applied Physics Letters, Soft Matter, Microfluidics and Nanofluidics and Physics of Fluids.
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.