The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where George Cybenko sits on this spectrum.
This scientist: 246 publications — 61st percentile
61% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where George Cybenko sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
George Cybenko is affiliated with Dartmouth College in the United States and specializes primarily in computer science, with a particular focus on artificial intelligence.
Their research spans several subfields including artificial intelligence, statistics and probability, and cognitive neuroscience. The main topics covered by their work involve Markov chains and Monte Carlo methods, natural language processing techniques, topic modeling, machine learning and algorithms, Bayesian methods and mixture models, algorithms and data compression, as well as neural dynamics and brain function.
George Cybenko's recent publications include:
Frequent coauthors in Cybenko's work include Joshua M. Ackerman, Mark Chilenski, Isaac Dekine, Piyush Kumar, and Gil Raz.
Publication venues that have featured Cybenko's work multiple times include arXiv (Cornell University), IEEE Transactions on Network Science and Engineering, IEEE Control Systems, and Proceedings of the AAAI Symposium Series.
Awards recognizing Cybenko's contributions include the SIAM Fellow distinction awarded in 2020 for work on theory and algorithms in signal processing, artificial neural networks, and distributed computing systems. They were also named an IEEE Fellow in 2000 for contributions to algorithms and theory of artificial neural networks in signal processing and for theory and systems software related to distributed and parallel computing.
George Cybenko
G. Cybenko
Javed Aslam;Zack Butler;Florin Constantin;Valentino Crespi
Brian E. Brewington;George Cybenko
Brian Brewington;Robert Gray;Katsuhiro Moizumi;David Kotz
Robert S. Gray;David Kotz;George Cybenko;Daniela Rus
David Kotz;Robert Gray;Saurab Nog;Daniela Rus
Robert S. Gray;David Kotz;George Cybenko;Daniela Rus
George Cybenko
Vincent Berk;Annarita Giani;George Cybenko
Robert S. Gray;George Cybenko;David Kotz;Ronald A. Peterson
Robert S. Gray;David Kotz;Saurab Nog;Daniela Rus
B.E. Brewington;G. Cybenko
S. Saarinen;R. Bramley;G. Cybenko
George Cybenko;Lyle Kipp;Lynn Pointer;David Kuck
David W. Krumme;George Cybenko;K. N. Venkataraman
G. Cybenko;A. Giani;P. Thompson
D.J. Burroughs;L.F. Wilson;G.V. Cybenko
G. Cybenko
L. Carin;G. Cybenko;J. Hughes
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