Information Theory
Information theory is a mathematical field that studies the quantification of information and the fundamental problems of signal transmission, reception, and processing through communication channels using principles from probability theory.
79.5K
Publications
5.6M
Citations
81.5K
Authors
8.4K
Institutions
Publications per year
2017–2026
16K
79.5K
A Mathematical Theory of Communication
Claude E. Shannon · Bell System Technical Journal · 1948 · 80.7K citations
David L. Donoho · IEEE Transactions on Information Theory · 2006 · 23.1K citations
On Information and Sufficiency
S. Kullback, R. A. Leibler · The Annals of Mathematical Statistics · 1951 · 20K citations · Full text
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Stanford University
Stanford, United States
186 h-index
2.1K publications
319.4K citations
Massachusetts Institute of Technology
Cambridge, United States
165 h-index
1.9K publications
268.6K citations
Princeton University
Princeton, United States
161 h-index
1.9K publications
192.5K citations
University of California, Berkeley
Berkeley, United States
153 h-index
1.5K publications
204.6K citations
California Institute of Technology
Pasadena, United States
138 h-index
1.3K publications
208.5K citations
Technion – Israel Institute of Technology
Haifa, Israel
133 h-index
1.3K publications
223K citations
AT&T (United States)
Bedminster, United States
124 h-index
729 publications
165.6K citations

University of Minnesota
Minneapolis, United States
120 h-index
839 publications
91.8K citations
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5.6K publications · 781.7K citations
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3.8K publications · 302.5K citations
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2.6K publications · 234.5K citations
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PRL · 983 publications · 197.9K citations
193
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PRA · 1.6K publications · 155.1K citations
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