William Bialek

30.7k citations
153 papers · 18.1k · 11 hit papers · h-index 62

Impact in

Papers in

William Bialek

148 papers receiving 17.6k citations

William Bialek's Hit Papers

Mapping the stereotyped behaviour of freely moving fruit flies 2014 · 308 citations
3080+11+23Years since publication50010001.5k

Peers

William Bialek
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
Replace Liam Paninski with:
Liam Paninski United States
David W. Tank United States
Olaf Sporns United States
Dmitri B. Chklovskii United States
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J. J. Hopfield United States
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by William Bialek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with William Bialek Line = papers co-authored together William Bialek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spikes: Exploring the Neural Code
Hit paper breakdown →
19961941
2
Weak pairwise correlations imply strongly correlated network states in a neural population
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20061100
3
Reading a Neural Code
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1991739
4
Entropy and Information in Neural Spike Trains
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1998687
5
Statistics of natural images: Scaling in the woods
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1994662
6
The information bottleneck method
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2000584
7
Efficiency and ambiguity in an adaptive neural code
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2001580
8
Probing the Limits to Positional Information
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2007527
9
Reproducibility and Variability in Neural Spike Trains
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1997512
10
Statistical mechanics for natural flocks of birds
Hit paper breakdown →
2012483
11 2000482
12 2011465
13 1997384
14 2007375
15 2003333
16 2008332
17 2005310
18
Mapping the stereotyped behaviour of freely moving fruit flies
Hit paper breakdown →
2014308
19 2001303
20 2005244

About William Bialek

William Bialek is a scholar working on Cognitive Neuroscience, Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience 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), Visual perception and processing mechanisms (25 papers), Neurobiology and Insect Physiology Research (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 Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Cognitive Neuroscience (9.9k citations), Cellular and Molecular Neuroscience (5.0k citations), Statistical and Nonlinear Physics (3.0k citations), Aging (353 citations) and Developmental Biology (268 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.

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