Yuriy V. Pershin
Electrical and Electronic Engineering · 2008–2013
A researcher in the Science corpus: 8 papers; trusts 13 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 102 citations into it; #875 of 16,539 by trust here, #3,353 by citations
- Biomedical Engineering — 30 citations into it; #4,208 of 10,734 by trust here, #2,835 by citations
- Cellular and Molecular Neuroscience — 30 citations into it; #435 of 2,998 by trust here, #1,192 by citations
- Atomic and Molecular Physics, and Optics — 18 citations into it; #3,304 of 7,135 by trust here, #5,741 by citations
- Cognitive Neuroscience — 11 citations into it; #2,954 of 10,852 by trust here, #3,424 by citations
- Electrochemistry — 9 citations into it
Whom Yuriy V. Pershin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Di Ventra
- Dmitri B. Strukov
- Gabriel M. Rebeiz
- Konstantin K. Likharev
- Wulfram Gerstner
- Vijay K. Varadan
- G. Snider
- Duncan R. Stewart
- J. Joshua Yang
- Miles P. Blencowe
Who trusts Yuriy V. Pershin overall
- Mohammed Affan Zidan
- Andy Thomas
- Ahmed Gomaa Radwan
- Carlos Zamarreño-Ramos
- M. Di Ventra
- Khaled Nabil Salama
- Hossam Ali Hassan Fahmy
- Hyongsuk Kim
- Fabien Alibart
- Gerard David Howard
Papers from Yuriy V. Pershin's perspective
Ordered by how strongly the researchers Yuriy V. Pershin trusts endorse each paper. Same corpus, a different order for every researcher.
- Nanoscale molecular-switch crossbar circuits
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
- Circuit Elements With Memory: Memristors, Memcapacitors, and Meminductors (Proceedings of the IEEE)
- The elusive memristor: properties of basic electrical circuits
- A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity (IEEE Transactions on Neural Networks)
- The perceptron: a probabilistic model for information storage and organization in the brain.
- Electrical Transport in Nanoscale Systems
- Spiking Neuron Models
- Neural Networks - A Systematic Introduction
- A and V
Their papers
- The potential and challenges of nanopore sequencing (2008) — 2,436 citations
- Circuit Elements With Memory: Memristors, Memcapacitors, and Meminductors (2009) — 1,040 citations
- Experimental demonstration of associative memory with memristive neural networks (2009) — 1,041 citations
- Practical Approach to Programmable Analog Circuits With Memristors (2009) — 597 citations
- Memory effects in complex materials and nanoscale systems (2010) — 738 citations
- Spin Memristive Systems: Spin Memory Effects in Semiconductor Spintronics (2008) — 215 citations
- Memristive model of amoeba learning. (2008) — 473 citations
- Intermittency, quasiperiodicity and chaos in probe-induced ferroelectric domain switching (2013) — 137 citations