William Bialek
- Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function 75
- Visual perception and processing mechanisms 25
- Cellular and Molecular Neuroscience top 0.2%
- Neurobiology and Insect Physiology Research 25
- Statistical and Nonlinear Physics top 0.1%
- stochastic dynamics and bifurcation 22
- Aging top 0.5%
- Developmental Biology top 1%
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- Gene Regulatory Network Analysis 25
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- Neural Networks and Applications 23
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- Spectroscopy and Quantum Chemical Studies 11
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- Advanced Memory and Neural Computing 8
- Co-authors
- Rob de Ruyter van SteveninckFred RiekeRob R. de Ruyter van SteveninckMichael J. BerryElad SchneidmanThierry MoraSteven StrongDaniel Ruderman
- Journals
- Proceedings of the National Academy of Sciences (18 papers)Physical Review Letters (16 papers)Neural Computation (7 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
William Bialek
148 papers receiving 17.6k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Cognitive Neuroscience 9.9k
- Cellular and Molecular Neuroscience 5.0k
- Statistical and Nonlinear Physics 3.0k
- Aging 353
- Developmental Biology 268
Countries citing papers authored by William Bialek
This map shows the geographic impact of William Bialek'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 William Bialek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Bialek more than expected).
Fields of papers citing papers by William Bialek
This network shows the impact of papers produced by William Bialek. 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 William Bialek. The network helps show where William Bialek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Bialek, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 2 | |
| 6 | Information-bottleneck renormalization group for self-supervised representation learning | 2020 | 2 |
| 7 | 2016 | 119 | |
| 8 | Can simple interactions capture complex features of neural activity underlying behavior in a virtual reality environment | 2016 | 2 |
| 9 | 2015 | 134 | |
| 10 | Mapping the stereotyped behaviour of freely moving fruit fliesbreakdown → | 2014 | 308 |
| 11 | Optimizing information flow in biological networks | 2009 | 1 |
| 12 | 2007 | 60 | |
| 13 | 2005 | 149 | |
| 14 | 2005 | 244 | |
| 15 | 2004 | 114 | |
| 16 | Geometric Clustering Using the Information Bottleneck Method | 2003 | 17 |
| 17 | Optimal Manifold Representation of Data: An Information Theoretic Approach | 2003 | 7 |
| 18 | The information bottleneck methodbreakdown → | 2000 | 584 |
| 19 | 1992 | 5 | |
| 20 | Reading a Neural Code | 1989 | 2 |
About William Bialek
William Bialek is a scholar working on Cognitive Neuroscience, Aging and Statistical and Nonlinear Physics, having authored 153 papers that have together received 18.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (75 papers), Neurobiology and Insect Physiology Research (25 papers), Visual perception and processing mechanisms (25 papers), Gene Regulatory Network Analysis (25 papers), Neural Networks and Applications (23 papers), stochastic dynamics and bifurcation (22 papers), Spectroscopy and Quantum Chemical Studies (11 papers) and Advanced Memory and Neural Computing (8 papers). The work is most often cited by research in Cognitive Neuroscience (9.9k citations), Cellular and Molecular Neuroscience (5.0k citations) and Statistical and Nonlinear Physics (3.0k citations). William Bialek has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Rob de Ruyter van Steveninck, Fred Rieke, Rob R. de Ruyter van Steveninck, Michael J. Berry, Elad Schneidman, Thierry Mora, Steven Strong, Daniel Ruderman, Thomas Gregor and R. Köberle. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters, Neural Computation, Physical review. E and Biophysical Journal.
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.