Mark Barnell
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
Papers in
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- Advanced Memory and Neural Computing 36
- Ferroelectric and Negative Capacitance Devices 22
- CCD and CMOS Imaging Sensors 7
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- Neuroscience and Neural Engineering 21
- Photoreceptor and optogenetics research 6
- Co-authors
- Qing Wu (33 shared papers)Hao Jiang (18 shared papers)Qiangfei Xia (20 shared papers)Zhongrui Wang (16 shared papers)Peng Lin (15 shared papers)Ning Ge (7 shared papers)John Paul Strachan (6 shared papers)Miao Hu (6 shared papers)
- Journals
- Nature Electronics (3 papers)Nature Communications (3 papers)Advanced Materials (2 papers)Nature Materials (1 paper)IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mark Barnell
45 papers receiving 6.2k citations
Mark Barnell's Hit Papers
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 2.8k
- Electrical and Electronic Engineering 6.0k
- Polymers and Plastics 793
- Cognitive Neuroscience 1.1k
- Artificial Intelligence 972
Countries citing papers authored by Mark Barnell
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
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-authors
The 25 scholars most cited alongside Mark Barnell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Hit paper breakdown → | 2016 | 1991 |
| 2 | Analogue signal and image processing with large memristor crossbars Hit paper breakdown → | 2017 | 1039 |
| 3 | Efficient and self-adaptive in-situ learning in multilayer memristor neural networks Hit paper breakdown → | 2018 | 739 |
| 4 | A novel true random number generator based on a stochastic diffusive memristor Hit paper breakdown → | 2017 | 360 |
| 5 | Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearity Hit paper breakdown → | 2017 | 335 |
| 6 | Reinforcement learning with analogue memristor arrays Hit paper breakdown → | 2019 | 310 |
| 7 | Three-dimensional memristor circuits as complex neural networks Hit paper breakdown → | 2020 | 293 |
| 8 | 2016 | 229 | |
| 9 | 2017 | 199 | |
| 10 | 2015 | 127 | |
| 11 | 2014 | 102 | |
| 12 | 2017 | 86 | |
| 13 | 2016 | 56 | |
| 14 | 2018 | 42 | |
| 15 | 2020 | 41 | |
| 16 | 2016 | 41 | |
| 17 | 2021 | 29 | |
| 18 | 2022 | 23 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 19 |
About Mark Barnell
Mark Barnell is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 46 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (36 papers), Ferroelectric and Negative Capacitance Devices (22 papers), Neuroscience and Neural Engineering (21 papers), CCD and CMOS Imaging Sensors (7 papers), Photoreceptor and optogenetics research (6 papers), Advanced Neural Network Applications (4 papers), Neural dynamics and brain function (4 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.8k citations), Electrical and Electronic Engineering (6.0k citations), Polymers and Plastics (793 citations), Cognitive Neuroscience (1.1k citations) and Artificial Intelligence (972 citations). Mark Barnell has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qing Wu, Hao Jiang, Qiangfei Xia, Zhongrui Wang, Peng Lin, Ning Ge, John Paul Strachan, Miao Hu, Can Li and Zhiyong Li. Their work appears in journals such as Nature Electronics, Nature Communications, Advanced Materials, Nature Materials and IEEE Transactions on Circuits and Systems I Regular Papers.
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.