Narayan Srinivasa

5.2k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Narayan Srinivasa is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Narayan Srinivasa has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 19 papers in Cognitive Neuroscience and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Narayan Srinivasa's work include Advanced Memory and Neural Computing (22 papers), Neural dynamics and brain function (15 papers) and Neuroscience and Neural Engineering (10 papers). Narayan Srinivasa is often cited by papers focused on Advanced Memory and Neural Computing (22 papers), Neural dynamics and brain function (15 papers) and Neuroscience and Neural Engineering (10 papers). Narayan Srinivasa collaborates with scholars based in United States, South Korea and Switzerland. Narayan Srinivasa's co-authors include Jose Cruz-Albrecht, T. Hussain, Wei Lü, Dana Wheeler, Siddharth Gaba, Corey M. Thibeault, Bipin Rajendran, Abu Sebastian, Evangelos Eleftheriou and Michael Schmuker and has published in prestigious journals such as Nano Letters, PLoS Computational Biology and Nanotechnology.

In The Last Decade

Narayan Srinivasa

36 papers receiving 1.2k citations

Hit Papers

A Functional Hybrid Memristor Crossbar-Array/CMOS System ... 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications
    2011 727 citations Dana Wheeler, Jose Cruz-Albrecht et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Narayan Srinivasa United States 12 1.0k 557 389 179 95 39 1.2k
Melika Payvand Switzerland 19 1.1k 1.1× 453 0.8× 450 1.2× 344 1.9× 109 1.1× 44 1.4k
Jason K. Eshraghian United States 20 1.2k 1.2× 474 0.9× 527 1.4× 377 2.1× 60 0.6× 97 1.7k
Zdeněk Biolek Czechia 17 1.9k 1.9× 1.1k 1.9× 562 1.4× 224 1.3× 66 0.7× 68 2.0k
Christos Papavassiliou United Kingdom 17 1.1k 1.1× 472 0.8× 304 0.8× 79 0.4× 126 1.3× 108 1.6k
Greg Snider United States 14 989 1.0× 326 0.6× 191 0.5× 178 1.0× 39 0.4× 26 1.2k
Warren Robinett United States 16 1.0k 1.0× 467 0.8× 327 0.8× 68 0.4× 91 1.0× 40 1.9k
Maryam Parsa United States 11 761 0.8× 186 0.3× 206 0.5× 365 2.0× 44 0.5× 42 971
Fernando Corinto Italy 24 1.8k 1.8× 666 1.2× 780 2.0× 276 1.5× 42 0.4× 151 2.2k
Akhilesh Jaiswal United States 17 2.1k 2.1× 422 0.8× 503 1.3× 660 3.7× 125 1.3× 60 2.4k
Andy Zhou United States 9 470 0.5× 327 0.6× 360 0.9× 151 0.8× 88 0.9× 23 1.5k

Countries citing papers authored by Narayan Srinivasa

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Srinivasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayan Srinivasa

This figure shows the co-authorship network connecting the top 25 collaborators of Narayan Srinivasa. A scholar is included among the top collaborators of Narayan Srinivasa 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 Narayan Srinivasa. Narayan Srinivasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zou, Zhuowen, et al.. (2023). Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. 1–8. 2 indexed citations
3.
Zou, Zhuowen, et al.. (2022). EventHD: Robust and efficient hyperdimensional learning with neuromorphic sensor. Frontiers in Neuroscience. 16. 858329–858329. 14 indexed citations
4.
Srinivasa, Narayan, Nigel Stepp, & Jose Cruz-Albrecht. (2015). Criticality as a Set-Point for Adaptive Behavior in Neuromorphic Hardware. Frontiers in Neuroscience. 9. 449–449. 10 indexed citations
5.
Stepp, Nigel, Dietmar Plenz, & Narayan Srinivasa. (2015). Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks. PLoS Computational Biology. 11(1). e1004043–e1004043. 45 indexed citations
6.
Thibeault, Corey M., et al.. (2014). A novel analytical characterization for short-term plasticity parameters in spiking neural networks. Frontiers in Computational Neuroscience. 8. 148–148. 1 indexed citations
7.
Thibeault, Corey M., et al.. (2014). HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters. IEEE Transactions on Neural Networks and Learning Systems. 25(2). 316–331. 44 indexed citations
8.
Srinivasa, Narayan & Youngkwan Cho. (2014). Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity. Frontiers in Computational Neuroscience. 8. 159–159. 12 indexed citations
9.
Srinivasa, Narayan, Deying Zhang, & Beayna Grigorian. (2014). A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time Multiplexing and MIMO-OFDM. IEEE Transactions on Neural Networks and Learning Systems. 25(3). 585–608. 1 indexed citations
10.
Thibeault, Corey M., et al.. (2014). Analyzing large-scale spiking neural data with HRLAnalysisâ„¢. Frontiers in Neuroinformatics. 8. 3 indexed citations
11.
Wheeler, Dana, I. Alvarado-Rodriguez, James Kally, et al.. (2014). Fabrication and characterization of tungsten-oxide-based memristors for neuromorphic circuits. 1–2. 1 indexed citations
12.
Thibeault, Corey M. & Narayan Srinivasa. (2013). Using a hybrid neuron in physiologically inspired models of the basal ganglia. Frontiers in Computational Neuroscience. 7. 88–88. 49 indexed citations
13.
Srinivasa, Narayan, et al.. (2013). Learning and prospective recall of noisy spike pattern episodes. Frontiers in Computational Neuroscience. 7. 80–80. 4 indexed citations
14.
Cruz-Albrecht, Jose, et al.. (2013). A scalable neural chip with synaptic electronics using CMOS integrated memristors. Nanotechnology. 24(38). 384011–384011. 62 indexed citations
15.
Srinivasa, Narayan, et al.. (2013). Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity. Frontiers in Computational Neuroscience. 7. 10–10. 18 indexed citations
16.
Thibeault, Corey M., et al.. (2013). Efficiently passing messages in distributed spiking neural network simulation. Frontiers in Computational Neuroscience. 7. 77–77. 4 indexed citations
17.
Srinivasa, Narayan, et al.. (2012). A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots. Neural Networks. 35. 54–69. 6 indexed citations
18.
Srinivasa, Narayan & Stephen Grossberg. (2008). A head–neck–eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. Neural Networks. 21(9). 1380–1391. 10 indexed citations
19.
Srinivasa, Narayan & Stephen Grossberg. (2007). A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. IEEE International Conference on Neural Networks. 483–488. 3 indexed citations
20.
Sudsang, Attawith, Jean Ponce, & Narayan Srinivasa. (1997). Grasping and in-hand manipulation: experiments with a reconfigurable gripper. Advanced Robotics. 12(5). 509–533. 25 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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