Rivu Midya

6.8k citations
20 papers · 4.1k indexed · 4 hit papers · h-index 12

Impact in

Papers in

Rivu Midya

19 papers receiving 4.1k citations

Hit Papers

An artificial spiking afferent nerve based on Mott memristors for neurorobotics 2020 · 321 citations
321201620262019202250010001.5k

Peers

Rivu Midya
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 2.0k
  • Electrical and Electronic Engineering 4.0k
  • Polymers and Plastics 679
  • Cognitive Neuroscience 912
  • Artificial Intelligence 639
Replace Mingyi Rao with:
Mingyi Rao United States
Zhiyong Li United States
Mark Barnell United States
Saumil Joshi United States
M. Prezioso United States
Wenhao Song United States
Mohammed A. Zidan Saudi Arabia
Xumeng Zhang China
Sung Hyun Jo United States
Yunning Li United States
Rivu Midya relative to Mingyi Rao United States Mingyi Rao's profile →
Citations per field
00.5×1.5×2.1×
Mingyi Rao · 1×
Citations per year

Countries citing papers authored by Rivu Midya

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Rivu Midya Line = papers co-authored together Rivu Midya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 202211
4 20223
5 20224
6 202131
7 202128
8
An artificial spiking afferent nerve based on Mott memristors for neurorobotics
Hit paper breakdown →
2020321
9 202075
10 20194
11 201930
12 2019106
13 2019218
14
Review of memristor devices in neuromorphic computing: materials sciences and device challenges
Hit paper breakdown →
2018416
15 20188
16 20187
17 2017339
18
Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearity
Hit paper breakdown →
2017324
19 2017315
20
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Hit paper breakdown →
20161899

About Rivu Midya

Rivu Midya is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (20 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), Energy Harvesting in Wireless Networks (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Electrical and Electronic Engineering (4.0k citations), Polymers and Plastics (679 citations), Cognitive Neuroscience (912 citations) and Artificial Intelligence (639 citations). Rivu Midya has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include J. Joshua Yang, Qiangfei Xia, Zhongrui Wang, Hao Jiang, Saumil Joshi, Peng Lin, 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, Journal of Physics D Applied Physics and Advanced Materials.

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.

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