Abhinav Parihar

1.3k total citations
21 papers, 913 citations indexed

About

Abhinav Parihar is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Abhinav Parihar has authored 21 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 15 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Abhinav Parihar's work include Advanced Memory and Neural Computing (15 papers), Neural Networks and Reservoir Computing (14 papers) and Neural dynamics and brain function (7 papers). Abhinav Parihar is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Neural Networks and Reservoir Computing (14 papers) and Neural dynamics and brain function (7 papers). Abhinav Parihar collaborates with scholars based in United States, India and Hungary. Abhinav Parihar's co-authors include Arijit Raychowdhury, Suman Datta, Mordhwaj S. Parihar, Pedram Ghafourifar, Masayo Fujita, Makoto Hashimoto, Nikhil Shukla, Matthew Jerry, Vijaykrishnan Narayanan and Darrell G. Schlom and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Abhinav Parihar

21 papers receiving 908 citations

Peers

Abhinav Parihar

EEE

AI

NEURO

CMN

PP

Konstantin Nikolić United Kingdom

Qingjiang Li China

Jaewook Kim South Korea

Andrea Bonfanti Italy

Yixin Yan China

Timoleon Moraitis Switzerland

Hojin Shin United States

Dimiter Prodanov Belgium

Karsten Seidl Germany

Payam A. Saisan United States

Konstantin Nikolić United Kingdom

Abhinav Parihar

649 ×1.2

EEE

34 ×0.1

AI

47 ×0.2

NEURO

952 ×5.4

CMN

37 ×0.2

PP

Citations per year, relative to Abhinav Parihar Abhinav Parihar (= 1×) peers Konstantin Nikolić

Countries citing papers authored by Abhinav Parihar

Since Specialization

Citations

This map shows the geographic impact of Abhinav Parihar'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 Abhinav Parihar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Parihar more than expected).

Fields of papers citing papers by Abhinav Parihar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhinav Parihar. 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 Abhinav Parihar. The network helps show where Abhinav Parihar may publish in the future.

Co-authorship network of co-authors of Abhinav Parihar

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Parihar. A scholar is included among the top collaborators of Abhinav Parihar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhinav Parihar. Abhinav Parihar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Yin, Heyu, Ilke Uguz, John Choi, et al.. (2024). A subdural CMOS optical device for bidirectional neural interfacing. Nature Electronics. 7(9). 829–841. 2 indexed citations

2.

Khanna, Abhishek, et al.. (2020). Stochastic Resonance in Insulator-Metal-Transition Systems. Scientific Reports. 10(1). 5549–5549. 7 indexed citations

3.

Dutta, Sourav, Abhinav Parihar, Abhishek Khanna, et al.. (2019). Programmable coupled oscillators for synchronized locomotion. Nature Communications. 10(1). 3299–3299. 61 indexed citations

4.

Parihar, Abhinav, Matthew Jerry, Suman Datta, & Arijit Raychowdhury. (2018). Stochastic IMT (Insulator-Metal-Transition) Neurons: An Interplay of Thermal and Threshold Noise at Bifurcation. Frontiers in Neuroscience. 12. 210–210. 32 indexed citations

5.

Raychowdhury, Arijit, Abhinav Parihar, Vijaykrishnan Narayanan, et al.. (2018). Computing With Networks of Oscillatory Dynamical Systems. Proceedings of the IEEE. 107(1). 73–89. 62 indexed citations

6.

Parihar, Abhinav, Nikhil Shukla, Matthew Jerry, Suman Datta, & Arijit Raychowdhury. (2017). Computing with dynamical systems based on insulator-metal-transition oscillators. SHILAP Revista de lepidopterología. 22 indexed citations

7.

Parihar, Abhinav, Nikhil Shukla, Matthew Jerry, Suman Datta, & Arijit Raychowdhury. (2017). Computational paradigms using oscillatory networks based on state-transition devices. 3415–3422. 1 indexed citations

8.

Parihar, Abhinav, Nikhil Shukla, Matthew Jerry, Suman Datta, & Arijit Raychowdhury. (2017). Connecting spectral techniques for graph coloring and eigen properties of coupled dynamics: A pathway for solving combinatorial optimizations (Invited paper). 117. 800–804. 1 indexed citations

9.

Jerry, Matthew, Abhinav Parihar, Arijit Raychowdhury, & Suman Datta. (2017). A random number generator based on insulator-to-metal electronic phase transitions. 1–2. 7 indexed citations

10.

Jerry, Matthew, Abhinav Parihar, Benjamin Grisafe, Arijit Raychowdhury, & Suman Datta. (2017). Ultra-low power probabilistic IMT neurons for stochastic sampling machines. T186–T187. 10 indexed citations

11.

Jerry, Matthew, Kai Ni, Abhinav Parihar, Arijit Raychowdhury, & Suman Datta. (2017). Stochastic Insulator-to-Metal Phase Transition-Based True Random Number Generator. IEEE Electron Device Letters. 39(1). 139–142. 35 indexed citations

12.

Jerry, Matthew, Abhinav Parihar, Benjamin Grisafe, Arijit Raychowdhury, & Suman Datta. (2017). Ultra-low power probabilistic IMT neurons for stochastic sampling machines. T186–T187. 27 indexed citations

13.

Parihar, Abhinav, Nikhil Shukla, Suman Datta, & Arijit Raychowdhury. (2016). Computing with dynamical systems in the post-CMOS era. 117. 110–111. 6 indexed citations

14.

Parihar, Abhinav, et al.. (2015). A Model Study of Defects and Faults in Embedded Spin Transfer Torque (STT) MRAM Arrays. 187–192. 27 indexed citations

15.

Parihar, Abhinav, Nikhil Shukla, Suman Datta, & Arijit Raychowdhury. (2015). Synchronization of pairwise-coupled, identical, relaxation oscillators based on metal-insulator phase transition devices: A model study. Journal of Applied Physics. 117(5). 54 indexed citations

16.

Parihar, Abhinav, Nikhil Shukla, Suman Datta, & Arijit Raychowdhury. (2014). Exploiting Synchronization Properties of Correlated Electron Devices in a Non-Boolean Computing Fabric for Template Matching. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 4(4). 450–459. 26 indexed citations

17.

Datta, Suman, Nikhil Shukla, Matthew Cotter, Abhinav Parihar, & Arijit Raychowdhury. (2014). Neuro Inspired Computing with Coupled Relaxation Oscillators. 1–6. 32 indexed citations

18.

Shukla, Nikhil, Abhinav Parihar, Matthew Cotter, et al.. (2014). Pairwise coupled hybrid vanadium dioxide-MOSFET (HVFET) oscillators for non-boolean associative computing. 28.7.1–28.7.4. 57 indexed citations

19.

Parihar, Abhinav, et al.. (2011). Statins lower calcium-induced oxidative stress in isolated mitochondria. Human & Experimental Toxicology. 31(4). 355–363. 21 indexed citations

20.

Parihar, Mordhwaj S., Abhinav Parihar, Masayo Fujita, Makoto Hashimoto, & Pedram Ghafourifar. (2008). Mitochondrial association of alpha-synuclein causes oxidative stress. Cellular and Molecular Life Sciences. 65(7-8). 1272–1284. 261 indexed citations

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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