Suhas Kumar
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials
Papers in
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- Advanced Memory and Neural Computing 47
- Ferroelectric and Negative Capacitance Devices 19
- Gas Sensing Nanomaterials and Sensors 5
- Semiconductor materials and devices 4
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- Transition Metal Oxide Nanomaterials 15
- Co-authors
- R. Stanley Williams (29 shared papers)John Paul Strachan (15 shared papers)Ziwen Wang (9 shared papers)Yoshio Nishi (13 shared papers)Wei Lü (3 shared papers)Xinxin Wang (1 shared paper)Yuchao Yang (1 shared paper)Matthew D. Pickett (2 shared papers)
- Journals
- Advanced Materials (8 papers)ACS Nano (7 papers)Applied Physics Letters (6 papers)Nature Communications (4 papers)Applied Physics Reviews (4 papers)
- Partner nations
- United StatesSouth KoreaSpain
In The Last Decade
Suhas Kumar
56 papers receiving 3.1k citations
Suhas Kumar's Hit Papers
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 881
- Polymers and Plastics 671
- Electrical and Electronic Engineering 2.7k
- Cognitive Neuroscience 702
- Artificial Intelligence 593
Countries citing papers authored by Suhas Kumar
This map shows the geographic impact of Suhas Kumar'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 Suhas Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhas Kumar more than expected).
Fields of papers citing papers by Suhas Kumar
This network shows the impact of papers produced by Suhas Kumar. 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 Suhas Kumar. The network helps show where Suhas Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Suhas Kumar, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing Hit paper breakdown → | 2017 | 495 |
| 2 | Dynamical memristors for higher-complexity neuromorphic computing Hit paper breakdown → | 2022 | 393 |
| 3 | Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks Hit paper breakdown → | 2020 | 300 |
| 4 | Third-order nanocircuit elements for neuromorphic engineering Hit paper breakdown → | 2020 | 281 |
| 5 | 2013 | 191 | |
| 6 | 2017 | 164 | |
| 7 | 2020 | 159 | |
| 8 | 2016 | 98 | |
| 9 | 2016 | 95 | |
| 10 | 2019 | 90 | |
| 11 | 2014 | 86 | |
| 12 | 2017 | 65 | |
| 13 | 2022 | 64 | |
| 14 | 2018 | 55 | |
| 15 | 2022 | 51 | |
| 16 | 2022 | 44 | |
| 17 | 2024 | 43 | |
| 18 | 2022 | 34 | |
| 19 | 2023 | 33 | |
| 20 | 2024 | 33 |
About Suhas Kumar
Suhas Kumar is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Artificial Intelligence, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (47 papers), Ferroelectric and Negative Capacitance Devices (19 papers), Transition Metal Oxide Nanomaterials (15 papers), Neural Networks and Reservoir Computing (11 papers), Neural dynamics and brain function (10 papers), Neuroscience and Neural Engineering (9 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (881 citations), Polymers and Plastics (671 citations), Electrical and Electronic Engineering (2.7k citations), Cognitive Neuroscience (702 citations) and Artificial Intelligence (593 citations). Suhas Kumar has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include R. Stanley Williams, John Paul Strachan, Ziwen Wang, Yoshio Nishi, Wei Lü, Xinxin Wang, Yuchao Yang, Matthew D. Pickett, Noraica Dávila and D. J. Vine. Their work appears in journals such as Advanced Materials, ACS Nano, Applied Physics Letters, Nature Communications and Applied Physics Reviews.
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.