John Paul Strachan

21.6k citations

123 papers · 16.0k indexed · 14 hit papers · h-index 50

Electrical and Electronic Engineering top 0.05%
Cellular and Molecular Neuroscience top 0.1%
Artificial Intelligence top 0.5%
Polymers and Plastics top 0.5%
Cognitive Neuroscience top 0.5%

Co-authors: R. Stanley Williams J. Joshua Yang Wei Lü Miao Hu Mohammed A. Zidan G. Medeiros‐Ribeiro Ning Ge Suhas Kumar
Topics: Advanced Memory and Neural Computing (108 papers)Ferroelectric and Negative Capacitance Devices (62 papers)Neuroscience and Neural Engineering (46 papers)
Cited by: Cellular and Molecular Neuroscience Electrical and Electronic Engineering Polymers and Plastics
Journals: Nature Physical Review Letters Advanced Materials
Partner nations: United States Germany Hong Kong

In The Last Decade

John Paul Strachan

115 papers receiving 15.7k citations

Hit Papers

5 papers align trajectories

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.

Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

2016 1.9k citations Zhongrui Wang, Saumil Joshi et al. Nature Materials profile →
The future of electronics based on memristive systems

2017 1.7k citations John Paul Strachan, Wei Lü et al. profile →
ISAAC

2016 1.1k citations Ali Shafiee, Anirban Nag et al. ACM SIGARCH Computer Architecture News profile →
Analogue signal and image processing with large memristor crossbars

2017 986 citations Can Li, Miao Hu et al. profile →
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

2018 711 citations Can Li, Miao Hu et al. Nature Communications profile →
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine

2018 601 citations Miao Hu, Catherine E. Graves et al. Advanced Materials profile →
Sub-nanosecond switching of a tantalum oxide memristor

2011 566 citations Antonio C. Torrezan, John Paul Strachan et al. Nanotechnology profile →
High switching endurance in TaOx memristive devices

2010 533 citations J. Joshua Yang, John Paul Strachan et al. Applied Physics Letters profile →
Dot-product engine for neuromorphic computing

2016 522 citations Miao Hu, John Paul Strachan et al. profile →
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

2016 483 citations Ali Shafiee, Anirban Nag et al. profile →
Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing

2017 476 citations Suhas Kumar, John Paul Strachan et al. profile →
Dynamical memristors for higher-complexity neuromorphic computing

2022 367 citations Suhas Kumar, John Paul Strachan et al. profile →
Reinforcement learning with analogue memristor arrays

2019 289 citations Zhongrui Wang, Can Li et al. profile →
Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

2020 284 citations Suhas Kumar, Thomas Van Vaerenbergh et al. profile →

Peers

Countries citing papers authored by John Paul Strachan

Since Specialization

Citations

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

Fields of papers citing papers by John Paul Strachan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Paul Strachan. 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 John Paul Strachan. The network helps show where John Paul Strachan may publish in the future.

Co-authorship network of co-authors of John Paul Strachan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Real-time raw signal genomic analysis using fully integrated memristor hardware 2025 ·Nature Computational Science ·(unknown),(unknown),(unknown),(unknown),(unknown),Giacomo Pedretti,Jim Ignowski,John Paul Strachan,Ruibang Luo,Can Li	0
2	Memristor-based hardware and algorithms for higher-order Hopfield optimization solver outperforming quadratic Ising machines 2024 ·(unknown),Arne Heittmann,George Hutchinson,(unknown),Thomas Van Vaerenbergh,(unknown),(unknown),Dmitri B. Strukov,John Paul Strachan	13
3	Computing high-degree polynomial gradients in memory 2024 ·Nature Communications ·(unknown),(unknown),Giacomo Pedretti,Xia Sheng,Jim Ignowski,Thomas Van Vaerenbergh,Ray Beausoleil,John Paul Strachan,Dmitri B. Strukov	10
4	Gradient matching of higher order combinatorial optimization in quadratic Ising machines 2024 ·(unknown),Michèle Tedeschi,Arne Heittmann,John Paul Strachan	0
5	Research Challenges for Energy-Efficient Computing in Automated Vehicles 2023 ·Computer ·Robert P. Dick,Rob Aitken,(unknown),John Paul Strachan,(unknown),Wei Lü,Yorie Nakahira,Zhiyong Li,Matthew Marinella,William Severa,A. Alec Talin,Craig M. Vineyard,Suhas Kumar,(unknown),(unknown)	3
6	Unleashing the Power of Moiré Materials in Neuromorphic Computing 2023 ·Chinese Physics Letters ·John Paul Strachan	1
7	Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search 2022 ·Nature Communications ·(unknown),(unknown),Arman Kazemi,(unknown),Ann Franchesca Laguna,Rui Lin,Ngai Wong,Michael Niemier,Xiaobo Sharon Hu,Xia Sheng,Catherine E. Graves,John Paul Strachan,Can Li	43
8	Analog content-addressable memories with memristors 2020 ·Nature Communications ·Can Li,Catherine E. Graves,Xia Sheng,(unknown),Martin Foltín,Giacomo Pedretti,John Paul Strachan	124
9	In‐Memory Computing with Memristor Content Addressable Memories for Pattern Matching 2020 ·Advanced Materials ·Catherine E. Graves,Can Li,Xia Sheng,(unknown),Jim Ignowski,(unknown),John Paul Strachan	82
10	Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection 2019 ·IEEE Transactions on Nanotechnology ·Catherine E. Graves,Sity Lam,Xuema Li,(unknown),Martin Foltín,Matthew P. Hardy,John Paul Strachan,Can Li,Xia Sheng,Wen Ma,Sai Rahul Chalamalasetti,(unknown),Jim Ignowski,(unknown),(unknown)	38
11	An efficient analog Hamming distance comparator realized with a unipolar memristor array: a showcase of physical computing 2017 ·Scientific Reports ·Ning Ge,Jung Ho Yoon,Miao Hu,(unknown),Noraica Dávila,John Paul Strachan,Zhiyong Li,(unknown),Qiangfei Xia,R. Stanley Williams,Xing Zhou,J. Joshua Yang	25
12	Temperature and field-dependent transport measurements in continuously tunable tantalum oxide memristors expose the dominant state variable 2017 ·Applied Physics Letters ·Catherine E. Graves,Noraica Dávila,(unknown),Sity Lam,John Paul Strachan,R. Stanley Williams	36
13	ISAACbreakdown → 2016 ·ACM SIGARCH Computer Architecture News ·Ali Shafiee,Anirban Nag,Naveen Muralimanohar,Rajeev Balasubramonian,John Paul Strachan,Miao Hu,R. Stanley Williams,Vivek Srikumar	1111
14	Memristors with diffusive dynamics as synaptic emulators for neuromorphic computingbreakdown → 2016 ·Nature Materials ·Zhongrui Wang,Saumil Joshi,Sergey Savel’ev,Hao Jiang,Rivu Midya,Peng Lin,Miao Hu,Ning Ge,John Paul Strachan,Zhiyong Li,Qing Wu,Mark Barnell,Geng‐Lin Li,Huolin L. Xin,R. Stanley Williams,Qiangfei Xia,J. Joshua Yang	1899
15	Repeatable, accurate, and high speed multi-level programming of memristor 1T1R arrays for power efficient analog computing applications 2016 ·Nanotechnology ·(unknown),Noraica Dávila,Ning Ge,R. Stanley Williams,John Paul Strachan	145
16	ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbarsbreakdown → 2016 ·Ali Shafiee,Anirban Nag,Naveen Muralimanohar,Rajeev Balasubramonian,John Paul Strachan,Miao Hu,R. Stanley Williams,Vivek Srikumar	483
17	Local Temperature Redistribution and Structural Transition During Joule‐Heating‐Driven Conductance Switching in VO₂ 2013 ·Advanced Materials ·Suhas Kumar,Matthew D. Pickett,John Paul Strachan,Gary A. P. Gibson,Yoshio Nishi,R. Stanley Williams	187
18	Anatomy of a Nanoscale Conduction Channel Reveals the Mechanism of a High-Performance Memristor 2012 ·Scholarworks (University of Massachusetts Amherst) ·Miao Feng,John Paul Strachan,J. Joshua Yang,Wei Yi,I. Goldfarb,(unknown),Antonio C. Torrezan,P. A. Eschbach,(unknown),G. Medeiros‐Ribeiro,R. Stanley Williams	2
19	Sub-nanosecond switching of a tantalum oxide memristorbreakdown → 2011 ·Nanotechnology ·Antonio C. Torrezan,John Paul Strachan,G. Medeiros‐Ribeiro,R. Stanley Williams	566
20	Time-Resolved Imaging of Spin Transfer Switching: Beyond the Macrospin Concept 2006 ·Physical Review Letters ·Yves Acremann,John Paul Strachan,(unknown),(unknown),T. Tyliszczak,J. A. Katine,M. J. Carey,B. M. Clemens,H. C. Siegmann,J. Stöhr	129

About John Paul Strachan

John Paul Strachan is a scholar working on Cellular and Molecular Neuroscience, Structural Biology and Electrical and Electronic Engineering, having authored 123 papers that have together received 16.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (108 papers), Ferroelectric and Negative Capacitance Devices (62 papers) and Neuroscience and Neural Engineering (46 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.0k citations), Electrical and Electronic Engineering (15.0k citations) and Polymers and Plastics (2.3k citations). John Paul Strachan has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include R. Stanley Williams, J. Joshua Yang, Wei Lü, Miao Hu, Mohammed A. Zidan, G. Medeiros‐Ribeiro, Ning Ge, Suhas Kumar, Qiangfei Xia and Zhiyong Li. Their work appears in journals such as Nature, Physical Review Letters 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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