Liam Paninski
- Cognitive Neuroscience top 0.1%
- Neural dynamics and brain function 97
- EEG and Brain-Computer Interfaces 19
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neural Engineering 42
- Photoreceptor and optogenetics research 15
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques 22
- Cell Image Analysis Techniques 16
- Statistical and Nonlinear Physics top 0.5%
- Aging top 2%
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- Advanced Memory and Neural Computing 23
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- Neural Networks and Applications 17
- Co-authors
- Jonathan W. PillowWulfram GerstnerRichard NaudWerner M. KistlerEero P. SimoncelliJohn P. DonoghueNicholas G. HatsopoulosMatthew Fellows
- Journals
- PLoS Computational Biology (14 papers)Neural Computation (12 papers)Journal of Computational Neuroscience (12 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Liam Paninski
157 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 8.5k
- Cellular and Molecular Neuroscience 5.6k
- Biophysics 945
- Statistical and Nonlinear Physics 1.2k
- Aging 141
Countries citing papers authored by Liam Paninski
This map shows the geographic impact of Liam Paninski'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 Liam Paninski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Paninski more than expected).
Fields of papers citing papers by Liam Paninski
This network shows the impact of papers produced by Liam Paninski. 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 Liam Paninski. The network helps show where Liam Paninski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liam Paninski, 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 | 15 | |
| 3 | 2021 | 16 | |
| 4 | Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations. | 2020 | 1 |
| 5 | Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking | 2020 | 2 |
| 6 | 2019 | 75 | |
| 7 | Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models | 2019 | 1 |
| 8 | Efficient and accurate extraction of in vivo calcium signals from microendoscopic video databreakdown → | 2018 | 417 |
| 9 | Scalable Approximate Bayesian Inference for Particle Tracking Data. | 2018 | 1 |
| 10 | 2017 | 1 | |
| 11 | Fast Active Set Methods for Online Spike Inference from Calcium Imaging | 2016 | 16 |
| 12 | Partition functions from Rao-Blackwellized tempered sampling | 2016 | 3 |
| 13 | Novel Model-based identification of retinal ganglion cell subunits | 2016 | 1 |
| 14 | Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions | 2013 | 24 |
| 15 | Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits | 2013 | 19 |
| 16 | 2010 | 284 | |
| 17 | Efficient active learning with generalized linear models | 2007 | 5 |
| 18 | Large-scale biophysical parameter estimation in single neurons via constrained linear regression | 2005 | 2 |
| 19 | Variational Minimax Estimation of Discrete Distributions under KL Loss | 2004 | 16 |
| 20 | Design of Experiments Via Information Theory | 2003 | 0 |
About Liam Paninski
Liam Paninski is a scholar working on Cognitive Neuroscience, Biophysics and Cellular and Molecular Neuroscience, having authored 163 papers that have together received 12.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (97 papers), Neuroscience and Neural Engineering (42 papers), Advanced Memory and Neural Computing (23 papers), Advanced Fluorescence Microscopy Techniques (22 papers), EEG and Brain-Computer Interfaces (19 papers), Neural Networks and Applications (17 papers), Cell Image Analysis Techniques (16 papers) and Photoreceptor and optogenetics research (15 papers). The work is most often cited by research in Cognitive Neuroscience (8.5k citations), Cellular and Molecular Neuroscience (5.6k citations) and Biophysics (945 citations). Liam Paninski has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jonathan W. Pillow, Wulfram Gerstner, Richard Naud, Werner M. Kistler, Eero P. Simoncelli, John P. Donoghue, Nicholas G. Hatsopoulos, Matthew Fellows, E. J. Chichilnisky and Pengcheng Zhou. Their work appears in journals such as PLoS Computational Biology, Neural Computation, Journal of Computational Neuroscience, Network Computation in Neural Systems and Neuron.
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.