John P. Cunningham
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 36
- EEG and Brain-Computer Interfaces 29
- Functional Brain Connectivity Studies 9
- Motor Control and Adaptation 6
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 18
- Computational Mathematics top 5%
- Artificial Intelligence top 1%
- Gaussian Processes and Bayesian Inference 13
- Neural Networks and Applications 11
- Neurology top 5%
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- Advanced Memory and Neural Computing 6
- Co-authors
- Byron M. YuKrishna V. ShenoyMark M. ChurchlandStephen I. RyuMatthew T. KaufmanPaul NuyujukianGary H. GloverCatie Chang
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
John P. Cunningham
80 papers receiving 6.2k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 11 | |
| 2 | 2021 | 19 | |
| 3 | 2021 | 11 | |
| 4 | 2021 | 45 | |
| 5 | 2021 | 16 | |
| 6 | Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations. | 2020 | 1 |
| 7 | Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking | 2020 | 2 |
| 8 | Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography | 2019 | 3 |
| 9 | The continuous Bernoulli: fixing a pervasive error in variational autoencoders | 2019 | 5 |
| 10 | BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos | 2019 | 31 |
| 11 | 2017 | 89 | |
| 12 | 2016 | 37 | |
| 13 | Elliptical slice sampling with expectation propagation | 2016 | 2 |
| 14 | Psychophysical detection testing with Bayesian active learning | 2015 | 8 |
| 15 | High-dimensional neural spike train analysis with generalized count linear dynamical systems | 2015 | 11 |
| 16 | Bayesian Optimization with Inequality Constraints | 2014 | 175 |
| 17 | Fast Kernel Learning for Multidimensional Pattern Extrapolation | 2014 | 42 |
| 18 | Scaling Multidimensional Gaussian Processes using Projected Additive Approximations | 2013 | 14 |
| 19 | Gaussian Processes for time-marked time-series data | 2012 | 7 |
| 20 | Empirical models of spiking in neural populations | 2011 | 90 |
About John P. Cunningham
John P. Cunningham is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence, 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), Advanced Memory and Neural Computing (6 papers) and Motor Control and Adaptation (6 papers). The work is most often cited by research in Cognitive Neuroscience (4.9k citations), Cellular and Molecular Neuroscience (2.1k citations) and Computational Mathematics (22 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.