Rivu Midya
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
Papers in
-
- Advanced Memory and Neural Computing 21
- Ferroelectric and Negative Capacitance Devices 7
- Energy Harvesting in Wireless Networks 1
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- Neuroscience and Neural Engineering 8
- Photoreceptor and optogenetics research 6
- Co-authors
- Qiangfei Xia (18 shared papers)Zhongrui Wang (17 shared papers)Hao Jiang (10 shared papers)Saumil Joshi (8 shared papers)Peng Lin (11 shared papers)J. Joshua Yang (16 shared papers)Mark Barnell (7 shared papers)Qing Wu (5 shared papers)
- Journals
- Advanced Electronic Materials (4 papers)Nature Communications (3 papers)Advanced Functional Materials (2 papers)Nature Materials (1 paper)Journal of Physics D Applied Physics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Rivu Midya
20 papers receiving 4.2k citations
Rivu Midya's Hit Papers
Peers
Comparison fields: 5 of 64
- Cellular and Molecular Neuroscience 2.0k
- Electrical and Electronic Engineering 4.1k
- Cognitive Neuroscience 919
- Polymers and Plastics 689
- Artificial Intelligence 653
Countries citing papers authored by Rivu Midya
This map shows the geographic impact of Rivu Midya'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 Rivu Midya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rivu Midya more than expected).
Fields of papers citing papers by Rivu Midya
This network shows the impact of papers produced by Rivu Midya. 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 Rivu Midya. The network helps show where Rivu Midya may publish in the future.
Co-authors
The 25 scholars most cited alongside Rivu Midya, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Hit paper breakdown → | 2016 | 1951 |
| 2 | Review of memristor devices in neuromorphic computing: materials sciences and device challenges Hit paper breakdown → | 2018 | 433 |
| 3 | 2017 | 346 | |
| 4 | An artificial spiking afferent nerve based on Mott memristors for neurorobotics Hit paper breakdown → | 2020 | 333 |
| 5 | Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearity Hit paper breakdown → | 2017 | 327 |
| 6 | 2017 | 317 | |
| 7 | 2019 | 231 | |
| 8 | 2019 | 110 | |
| 9 | 2020 | 79 | |
| 10 | 2021 | 31 | |
| 11 | 2019 | 31 | |
| 12 | 2021 | 29 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2018 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 1 |
About Rivu Midya
Rivu Midya is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 21 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (8 papers), Ferroelectric and Negative Capacitance Devices (7 papers), Photoreceptor and optogenetics research (6 papers), Neural Networks and Reservoir Computing (2 papers), MXene and MAX Phase Materials (1 paper) and Energy Harvesting in Wireless Networks (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Electrical and Electronic Engineering (4.1k citations), Cognitive Neuroscience (919 citations), Polymers and Plastics (689 citations) and Artificial Intelligence (653 citations). Rivu Midya has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qiangfei Xia, Zhongrui Wang, Hao Jiang, Saumil Joshi, Peng Lin, J. Joshua Yang, Mark Barnell, Qing Wu, Sergey Savel’ev and R. Stanley Williams. Their work appears in journals such as Advanced Electronic Materials, Nature Communications, Advanced Functional Materials, Nature Materials and Journal of Physics D Applied Physics.
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.