Amar Shrestha

509 citations

16 papers · 271 indexed · h-index 10

Co-authors: Qinru Qiu Haowen Fang Qing Wu Yanzhi Wang De Ma Brian C. Van Essen David Widemann Adam Moody
Topics: Advanced Memory and Neural Computing (15 papers)Ferroelectric and Negative Capacitance Devices (11 papers)Neural dynamics and brain function (10 papers)
Cited by: Cognitive Neuroscience Electrical and Electronic Engineering Cellular and Molecular Neuroscience
Journals: IEEE Journal on Emerging and Selected Topics in Circuits and Systems IEEE Circuits and Systems Magazine
Partner nations: United States China

In The Last Decade

Amar Shrestha

16 papers receiving 266 citations

Peers

Countries citing papers authored by Amar Shrestha

Since Specialization

Citations

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

Fields of papers citing papers by Amar Shrestha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amar Shrestha

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	A Survey on Neuromorphic Computing: Models and Hardware 2022 ·IEEE Circuits and Systems Magazine ·Amar Shrestha,Haowen Fang,(unknown),(unknown),Qing Wu,Qinru Qiu	65
2	MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level 2021 ·Amar Shrestha,(unknown),Haowen Fang,Qinru Qiu	1
3	In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor 2021 ·Amar Shrestha,Haowen Fang,(unknown),(unknown),Qinru Qiu	20
4	1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity 2021 ·(unknown),Amar Shrestha,Qinru Qiu,Hai Li	2
5	Encoding, model, and architecture 2020 ·Haowen Fang,(unknown),Amar Shrestha,(unknown),(unknown),Qinru Qiu	33
6	Multivariate Time Series Classification Using Spiking Neural Networks 2020 ·Haowen Fang,Amar Shrestha,Qinru Qiu	17
7	Approximating Back-propagation for a Biologically Plausible Local Learning Rule in Spiking Neural Networks 2019 ·Amar Shrestha,Haowen Fang,Qing Wu,Qinru Qiu	24
8	A General Framework to Map Neural Networks onto Neuromorphic Processor 2019 ·Haowen Fang,Amar Shrestha,(unknown),Yanzhi Wang,Qinru Qiu	5
9	An Event-driven Neuromorphic System with Biologically Plausible Temporal Dynamics 2019 ·Haowen Fang,Amar Shrestha,(unknown),(unknown),Qinru Qiu	9
10	Modular Spiking Neural Circuits for Mapping Long Short-Term Memory on a Neurosynaptic Processor 2018 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Amar Shrestha,(unknown),Yanzhi Wang,David Widemann,Adam Moody,Brian C. Van Essen,Qinru Qiu	9
11	Scalable NoC-based Neuromorphic Hardware Learning and Inference 2018 ·Haowen Fang,Amar Shrestha,De Ma,Qinru Qiu	22
12	Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning 2017 ·Amar Shrestha,(unknown),Yanzhi Wang,Qinru Qiu	30
13	A spike-based long short-term memory on a neurosynaptic processor 2017 ·Amar Shrestha,(unknown),Yanzhi Wang,David Widemann,Adam Moody,Brian C. Van Essen,Qinru Qiu	11
14	Simulation of bayesian learning and inference on distributed stochastic spiking neural networks 2016 ·(unknown),Amar Shrestha,Qinru Qiu	4
15	System Design for In-Hardware STDP Learning and Spiking Based Probablistic Inference 2016 ·(unknown),Amar Shrestha,Yanzhi Wang,Qinru Qiu	5
16	Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor 2016 ·(unknown),Amar Shrestha,Qinru Qiu,Qing Wu	14

About Amar Shrestha

Amar Shrestha is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 16 papers that have together received 271 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cognitive Neuroscience (120 citations), Electrical and Electronic Engineering (233 citations) and Cellular and Molecular Neuroscience (67 citations). Amar Shrestha has collaborated with scholars based in United States and China. Frequent co-authors include Qinru Qiu, Haowen Fang, Qing Wu, Yanzhi Wang, De Ma, Brian C. Van Essen, David Widemann, Adam Moody and Hai Li. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems and IEEE Circuits and Systems Magazine.

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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