John P. Cunningham
Impact in
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Motor Control and Adaptation
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural dynamics and brain function 36
- EEG and Brain-Computer Interfaces 29
- Functional Brain Connectivity Studies 9
-
- Gaussian Processes and Bayesian Inference 13
- Neural Networks and Applications 11
- Co-authors
- Byron M. Yu (11 shared papers)Krishna V. Shenoy (21 shared papers)Mark M. Churchland (20 shared papers)Stephen I. Ryu (7 shared papers)Matthew T. Kaufman (7 shared papers)Paul Nuyujukian (7 shared papers)Gary H. Glover (1 shared paper)Catie Chang (1 shared paper)
- Journals
- Neuron (6 papers)Nature Communications (5 papers)PLoS Computational Biology (5 papers)eLife (5 papers)Nature Neuroscience (4 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
John P. Cunningham
80 papers receiving 6.2k citations
John P. Cunningham's Hit Papers
Peers
Comparison fields: 5 of 174
- Cognitive Neuroscience 4.9k
- Cellular and Molecular Neuroscience 2.1k
- Computational Mathematics 22
- Artificial Intelligence 868
- Neurology 190
Countries citing papers authored by John P. Cunningham
This map shows the geographic impact of John P. Cunningham'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 P. Cunningham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Cunningham more than expected).
Fields of papers citing papers by John P. Cunningham
This network shows the impact of papers produced by John P. Cunningham. 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 P. Cunningham. The network helps show where John P. Cunningham may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. Cunningham, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neural population dynamics during reaching Hit paper breakdown → | 2012 | 933 |
| 2 | Dimensionality reduction for large-scale neural recordings Hit paper breakdown → | 2014 | 669 |
| 3 | Influence of heart rate on the BOLD signal: The cardiac response function Hit paper breakdown → | 2008 | 505 |
| 4 | 2009 | 392 | |
| 5 | 2012 | 388 | |
| 6 | 2010 | 317 | |
| 7 | 2011 | 257 | |
| 8 | 2016 | 232 | |
| 9 | 2014 | 230 | |
| 10 | Bayesian Optimization with Inequality Constraints | 2014 | 175 |
| 11 | 2018 | 163 | |
| 12 | 2019 | 144 | |
| 13 | 2010 | 137 | |
| 14 | 2007 | 124 | |
| 15 | 2015 | 119 | |
| 16 | 2017 | 98 | |
| 17 | Empirical models of spiking in neural populations | 2011 | 90 |
| 18 | 2017 | 89 | |
| 19 | 2020 | 78 | |
| 20 | 2018 | 67 |
About John P. Cunningham
John P. Cunningham is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience, Biomedical Engineering and Control and Systems Engineering, having authored 85 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (36 papers), EEG and Brain-Computer Interfaces (29 papers), Neuroscience and Neural Engineering (18 papers), Gaussian Processes and Bayesian Inference (13 papers), Neural Networks and Applications (11 papers), Functional Brain Connectivity Studies (9 papers), Muscle activation and electromyography studies (6 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Cognitive Neuroscience (4.9k citations), Cellular and Molecular Neuroscience (2.1k citations), Computational Mathematics (22 citations), Artificial Intelligence (868 citations) and Neurology (190 citations). John P. Cunningham has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Byron M. Yu, Krishna V. Shenoy, Mark M. Churchland, Stephen I. Ryu, Matthew T. Kaufman, Paul Nuyujukian, Gary H. Glover, Catie Chang, Justin Foster and Gamaleldin F. Elsayed. Their work appears in journals such as Neuron, Nature Communications, PLoS Computational Biology, eLife and Nature Neuroscience.
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.