The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where William Bialek sits on this spectrum.
This scientist: 225 publications — 57th percentile
57% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where William Bialek sits on this spectrum.
This scientist: 74 D-Index — 92nd percentile
92% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
William Bialek is affiliated with Princeton University in the United States and has contributed extensively to the field of Biochemistry, Genetics and Molecular Biology. The main focus of their research includes areas such as Molecular Biology, Cognitive Neuroscience, and Artificial Intelligence, with additional work in Statistical and Nonlinear Physics and General Health Professions.
Their research topics span several key areas:
Frequent publication venues where William Bialek has contributed include:
Bialek has coauthored multiple papers with several researchers. Frequent collaborators include:
Some recent papers authored or coauthored by William Bialek are:
William Bialek has been recognized with several awards throughout their career. These include the Max Delbruck Prize from the Division of Biological Physics of the American Physical Society in 2018, awarded for contributions in applying physics and information theory principles to biological systems. They also received the Swartz Prize for Theoretical and Computational Neuroscience in 2013 and were elected a Member of the National Academy of Sciences in 2012. Earlier, in 1996, Bialek was named a Fellow of the American Physical Society with a citation noting their contributions to understanding the neural code and neural processing optimization through theoretical physics methods.
Fred Rieke;Davd Warland;Rob de Ruyter van Steveninck;William Bialek
Naftali Tishby;Fernando C. N. Pereira;William Bialek
Daniel L. Ruderman;Daniel L. Ruderman;William Bialek;William Bialek
Elad Schneidman;Michael J. Berry;Ronen Segev;William Bialek
W Bialek;F Rieke;RR de Ruyter van Steveninck;D Warland
S. P. Strong;Roland Koberle;Rob R. de Ruyter van Steveninck;William Bialek
Thierry Mora;Thierry Mora;William Bialek
Adrienne L. Fairhall;Geoffrey D. Lewen;William Bialek;Robert R. de Ruyter van Steveninck
William Bialek;Andrea Cavagna;Irene Giardina;Thierry Mora
Naama Brenner;William Bialek;Rob de Ruyter van Steveninck
Thomas Gregor;David W. Tank;Eric F. Wieschaus;Eric F. Wieschaus;William Bialek
Rob R. de Ruyter van Steveninck;Geoffrey D. Lewen;Steven P. Strong;Roland Koberle
William Bialek;Ilya Nemenman;Naftali Tishby
Stelios M. Smirnakis;Michael J. Berry;David K. Warland;William Bialek
Greg J. Stephens;Bethany Johnson-Kerner;William Bialek;William S. Ryu
Thomas Gregor;Eric F. Wieschaus;Eric F. Wieschaus;Alistair P. McGregor;William Bialek
William Bialek;Sima Setayeshgar;Sima Setayeshgar
Naama Brenner;Steven P. Strong;Roland P. Koberle;William P. Bialek
Tatyana Sharpee;Nicole C. Rust;William C. Bialek
F Rieke;D A Bodnar;W Bialek
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