Mark Barnell

8.8k total citations · 6 hit papers
44 papers, 5.9k citations indexed

About

Mark Barnell is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Barnell has authored 44 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 25 papers in Cellular and Molecular Neuroscience and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Barnell's work include Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neuroscience and Neural Engineering (21 papers). Mark Barnell is often cited by papers focused on Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (21 papers) and Neuroscience and Neural Engineering (21 papers). Mark Barnell collaborates with scholars based in United States, China and United Kingdom. Mark Barnell's co-authors include Qing Wu, J. Joshua Yang, Hao Jiang, Qiangfei Xia, Zhongrui Wang, Peng Lin, R. Stanley Williams, Ning Ge, Miao Hu and John Paul Strachan and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Mark Barnell

41 papers receiving 5.8k 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 →
Analogue signal and image processing with large memristor crossbars

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

2018 711 citations Can Li, Daniel Belkin et al. Nature Communications profile →
Anatomy of Ag/Hafnia‐Based Selectors with 10¹⁰ Nonlinearity

2017 324 citations Rivu Midya, Zhongrui Wang et al. Advanced Materials profile →
Reinforcement learning with analogue memristor arrays

2019 289 citations Zhongrui Wang, Can Li et al. Nature Electronics profile →
Three-dimensional memristor circuits as complex neural networks

2020 280 citations Peng Lin, Can Li et al. Nature Electronics profile →

Peers

Countries citing papers authored by Mark Barnell

Since Specialization

Citations

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

Fields of papers citing papers by Mark Barnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Barnell

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Barnell. A scholar is included among the top collaborators of Mark Barnell 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 Mark Barnell. Mark Barnell 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	Spike-Driven YOLO: Ultra Low-Power Object Detection with Neuromorphic Computing 2024 ·Mark Barnell, (unknown), (unknown), (unknown), (unknown), (unknown)	0
2	Hybrid Tuning of Sub‐Filaments to Improve Analog Switching Performance in Memristive Devices 2023 ·Advanced Materials Technologies ·Pan Hu, (unknown), Zerui Liu, (unknown), Yunxiang Wang, (unknown), Hao Yang, (unknown), Zhi Cai, (unknown), Mark Barnell, Qing Wu, Stephen B. Cronin, Wei Wu	3
3	Advanced Ultra Low-Power Deep Learning Applications with Neuromorphic Computing 2023 ·Mark Barnell, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
4	Ultra Low-Power Deep Learning Applications at the Edge with Jetson Orin AGX Hardware 2022 ·Mark Barnell, (unknown), (unknown), (unknown), (unknown)	9
5	A memristor-based hybrid analog-digital computing platform for mobile robotics 2020 ·Science Robotics ·(unknown), Hao Yang, Boxiang Song, (unknown), Xiaodong Yan, Yuanrui Li, Yunxiang Wang, Pan Hu, (unknown), Mark Barnell, Qing Wu, Han Wang, Wei Wu	39
6	Efficient and self-adaptive in-situ learning in multilayer memristor neural networks breakdown → 2018 ·Nature Communications ·Can Li, Daniel Belkin, Yunning Li, Peng Yan, Miao Hu, Ning Ge, Hao Jiang, Eric Montgomery, Peng Lin, Zhongrui Wang, Wenhao Song, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia	711
7	In-Memory Computing with Memristor Arrays 2018 ·Can Li, Daniel Belkin, Yunning Li, Peng Yan, Miao Hu, Ning Ge, Hao Jiang, Eric Montgomery, Peng Lin, Zhongrui Wang, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia	41
8	A novel true random number generator based on a stochastic diffusive memristor 2017 ·Nature Communications ·Hao Jiang, Daniel Belkin, Sergey Savel’ev, Siyan Lin, Zhongrui Wang, Yunning Li, Saumil Joshi, Rivu Midya, Can Li, Mingyi Rao, Mark Barnell, Qing Wu, J. Joshua Yang, Qiangfei Xia	339
9	Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors 2017 ·Nature Communications ·Can Li, Lili Han, Hao Jiang, Moon Hyung Jang, Peng Lin, Qing Wu, Mark Barnell, J. Joshua Yang, Huolin L. Xin, Qiangfei Xia	190
10	Anatomy of Ag/Hafnia‐Based Selectors with 10¹⁰ Nonlinearity breakdown → 2017 ·Advanced Materials ·Rivu Midya, Zhongrui Wang, Jiaming Zhang, Sergey Savel’ev, Can Li, Mingyi Rao, Moon Hyung Jang, Saumil Joshi, Hao Jiang, Peng Lin, Kate J. Norris, Ning Ge, Qing Wu, Mark Barnell, Zhiyong Li, Huolin L. Xin, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang	324
11	Truly Electroforming‐Free and Low‐Energy Memristors with Preconditioned Conductive Tunneling Paths 2017 ·Advanced Functional Materials ·Jung Ho Yoon, Jiaming Zhang, Xiao‐Chen Ren, Zhongrui Wang, Huaqiang Wu, Zhiyong Li, Mark Barnell, Qing Wu, Lincoln J. Lauhon, Qiangfei Xia, J. Joshua Yang	81
12	Analogue signal and image processing with large memristor crossbars breakdown → 2017 ·Nature Electronics ·Can Li, Miao Hu, Yunning Li, Hao Jiang, Ning Ge, Eric Montgomery, Jiaming Zhang, Wenhao Song, Noraica Dávila, Catherine E. Graves, Zhiyong Li, John Paul Strachan, Peng Lin, Zhongrui Wang, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia	986
13	Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing breakdown → 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
14	Sub-10 nm Ta Channel Responsible for Superior Performance of a HfO2 Memristor 2016 ·Scientific Reports ·Hao Jiang, Lili Han, Peng Lin, Zhongrui Wang, Moon Hyung Jang, Qing Wu, Mark Barnell, J. Joshua Yang, Huolin L. Xin, Qiangfei Xia	219
15	Correction: Electrochemical metallization switching with a platinum group metal in different oxides 2016 ·Nanoscale ·Zhongrui Wang, Hao Jiang, Moon Hyung Jang, Peng Lin, Alexander E. Ribbe, Qing Wu, Mark Barnell, Qiangfei Xia, J. Joshua Yang	2
16	Built-in selectors self-assembled into memristors 2016 ·(unknown), Saumil Joshi, Qiangfei Xia, Hai Li, Yiran Chen, Hao Jiang, Qing Wu, Mark Barnell, J. Joshua Yang	1
17	A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy 2016 ·Chenchen Liu, Qing Yang, Bonan Yan, Jianlei Yang, (unknown), Weijie Zhu, Hao Jiang, Qing Wu, Mark Barnell, Hai Li	40
18	Harmonica: A Framework of Heterogeneous Computing Systems With Memristor-Based Neuromorphic Computing Accelerators 2016 ·IEEE Transactions on Circuits and Systems I Regular Papers ·Xiaoxiao Liu, Mengjie Mao, Beiye Liu, Boxun Li, Yu Wang, Hao Jiang, Mark Barnell, Qing Wu, J. Joshua Yang, Hai Li, Yiran Chen	56
19	A heterogeneous computing system with memristor-based neuromorphic accelerators 2014 ·Xiaoxiao Liu, Mengjie Mao, Hai Li, Yiran Chen, Hao Jiang, J. Joshua Yang, Qing Wu, Mark Barnell	17
20	Integration, Development and Performance of the 500 TFLOPS Heterogeneous Cluster (Condor) 2012 ·Mark Barnell, Qing Wu, Richard Linderman	3

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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