Mark D. 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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- Neuroscience and Neural Engineering 22
- Photoreceptor and optogenetics research 7
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- Advanced Memory and Neural Computing 42
- Ferroelectric and Negative Capacitance Devices 25
- CCD and CMOS Imaging Sensors 8
- Co-authors
- Qing Wu (33 shared papers)Hao Jiang (18 shared papers)Qiangfei Xia (19 shared papers)Zhongrui Wang (15 shared papers)Peng Lin (14 shared papers)Ning Ge (7 shared papers)Miao Hu (6 shared papers)John Paul Strachan (6 shared papers)
- Journals
- Nature Electronics (4 papers)Nature Communications (4 papers)Advanced Functional Materials (2 papers)Advanced Materials (2 papers)Science (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Mark D. Barnell
49 papers receiving 7.8k citations
Mark D. Barnell's Hit Papers
Peers
Comparison fields: 5 of 89
- Cellular and Molecular Neuroscience 3.4k
- Electrical and Electronic Engineering 7.5k
- Cognitive Neuroscience 1.4k
- Polymers and Plastics 947
- Artificial Intelligence 1.3k
Countries citing papers authored by Mark D. Barnell
This map shows the geographic impact of Mark D. 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 D. 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 D. Barnell more than expected).
Fields of papers citing papers by Mark D. Barnell
This network shows the impact of papers produced by Mark D. 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 D. Barnell. The network helps show where Mark D. Barnell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark D. 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 51 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 | 2065 |
| 2 | Analogue signal and image processing with large memristor crossbars Hit paper breakdown → | 2017 | 1088 |
| 3 | Fully memristive neural networks for pattern classification with unsupervised learning Hit paper breakdown → | 2018 | 959 |
| 4 | Efficient and self-adaptive in-situ learning in multilayer memristor neural networks Hit paper breakdown → | 2018 | 767 |
| 5 | A novel true random number generator based on a stochastic diffusive memristor Hit paper breakdown → | 2017 | 382 |
| 6 | Anatomy of Ag/Hafnia‐Based Selectors with 10 10 Nonlinearity Hit paper breakdown → | 2017 | 343 |
| 7 | Reinforcement learning with analogue memristor arrays Hit paper breakdown → | 2019 | 323 |
| 8 | Three-dimensional memristor circuits as complex neural networks Hit paper breakdown → | 2020 | 318 |
| 9 | 2018 | 247 | |
| 10 | 2016 | 241 | |
| 11 | 2017 | 208 | |
| 12 | 2015 | 133 | |
| 13 | Programming memristor arrays with arbitrarily high precision for analog computing Hit paper breakdown → | 2024 | 115 |
| 14 | 2014 | 108 | |
| 15 | 2017 | 87 | |
| 16 | 2016 | 59 | |
| 17 | 2020 | 46 | |
| 18 | 2018 | 43 | |
| 19 | 2016 | 43 | |
| 20 | 2021 | 30 |
About Mark D. Barnell
Mark D. Barnell is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Hardware and Architecture, Cognitive Neuroscience and Artificial Intelligence, having authored 51 papers that have together received 7.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (42 papers), Ferroelectric and Negative Capacitance Devices (25 papers), Neuroscience and Neural Engineering (22 papers), CCD and CMOS Imaging Sensors (8 papers), Neural dynamics and brain function (7 papers), Photoreceptor and optogenetics research (7 papers), Neural Networks and Reservoir Computing (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.4k citations), Electrical and Electronic Engineering (7.5k citations), Cognitive Neuroscience (1.4k citations), Polymers and Plastics (947 citations) and Artificial Intelligence (1.3k citations). Mark D. 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, Miao Hu, John Paul Strachan, Can Li and Zhiyong Li. Their work appears in journals such as Nature Electronics, Nature Communications, Advanced Functional Materials, Advanced Materials and Science.
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.