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 William T. Freeman sits on this spectrum.
This scientist: 388 publications — 86th percentile
86% 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 William T. Freeman sits on this spectrum.
This scientist: 133 D-Index — 99th percentile
99% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
William T. Freeman is affiliated with MIT in the United States and has a significant research footprint in the fields of Computer Science and Physics and Astronomy. Their work spans various subfields including Computer Vision and Pattern Recognition, Astronomy and Astrophysics, Nuclear and High Energy Physics, Computer Graphics and Computer-Aided Design, and Computational Mechanics.
Their scholarly output covers a broad array of topics such as Astrophysics and Cosmic Phenomena, Advanced Vision and Imaging, Astrophysical Phenomena and Observations, Generative Adversarial Networks and Image Synthesis, Computer Graphics and Visualization Techniques, 3D Shape Modeling and Analysis, and Pulsars and Gravitational Waves Research.
Freeman's publication record includes papers in notable venues with repeated contributions to:
Among their recent papers are:
Frequent co-authors in their research include Katherine L. Bouman, Xiaopeng Cheng, G. Desvignes, Kazunori Akiyama, and A. Alberdi. This collaborative network reflects a multidisciplinary engagement with topics at the intersection of imaging and astrophysics.
The scientist's contributions to the academic community have been recognized through honors such as the Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2020, specifically for work in computer vision and machine learning, including developments in steerable filters, belief propagation, and motion re-rendering. Additionally, they were named an ACM Fellow in 2016 for contributions to low-level computer vision, machine learning, and computer graphics.
Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman
W.T. Freeman;E.H. Adelson
W.T. Freeman;T.R. Jones;E.C. Pasztor
Alexei A. Efros;William T. Freeman
Rob Fergus;Barun Singh;Aaron Hertzmann;Sam T. Roweis
Kazunori Akiyama;Antxon Alberdi;Walter Alef
A. Torralba;R. Fergus;W.T. Freeman
William T. Freeman;Egon C. Pasztor;Owen T. Carmichael
Tianfan Xue;Baian Chen;Jiajun Wu;Donglai Wei
E.P. Simoncelli;W.T. Freeman;E.H. Adelson;D.J. Heeger
Jonathan S. Yedidia;William T. Freeman;Yair Weiss
J.S. Yedidia;W.T. Freeman;Y. Weiss
Anat Levin;Rob Fergus;Frédo Durand;William T. Freeman
Hao-Yu Wu;Michael Rubinstein;Eugene Shih;John Guttag
Jiajun Wu;Chengkai Zhang;Tianfan Xue;William T. Freeman
J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman
E.P. Simoncelli;W.T. Freeman
Anat Levin;Yair Weiss;Fredo Durand;William T Freeman
Jonathan S Yedidia;William T. Freeman;Yair Weiss
William T. Freeman;Craig D. Weissman
Bryan C. Russell;Antonio Torralba;Kevin P. Murphy;William T. Freeman
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Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 105
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