Toby Berger

44 papers receiving 1.3k citations

Toby Berger's Hit Papers

Rate distortion theory : a mathematical basis for data compression 1971 · 666 citations
6660+18+36Years since publication200400600

Peers

Toby Berger
Comparison fields: 5 of 86
  • Signal Processing 218
  • Computer Vision and Pattern Recognition 386
  • Computer Networks and Communications 373
  • Artificial Intelligence 482
  • Electrical and Electronic Engineering 493
Replace Yoshiyuki Kabashima with:
Yoshiyuki Kabashima Japan
Alessandro Trifiletti Italy
J. Hérault France
D. Sakrison United States
J.L. Huertas Spain
Yoshifumi Nishio Japan
Teijiro Isokawa Japan
James C. Candy United States
A.G. Lindgren United States
J.O. Limb United States
Toby Berger relative to Yoshiyuki Kabashima Japan Yoshiyuki Kabashima's profile →
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Yoshiyuki Kabashima · 1×
Citations per year

Countries citing papers authored by Toby Berger

Since Specialization
Citations

This map shows the geographic impact of Toby Berger'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 Toby Berger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toby Berger more than expected).

Fields of papers citing papers by Toby Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby Berger. 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 Toby Berger. The network helps show where Toby Berger may publish in the future.

Co-authors

The 22 scholars most cited alongside Toby Berger, 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 Toby Berger Line = papers co-authored together Toby Berger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rate distortion theory : a mathematical basis for data compression
Hit paper breakdown →
1971666
2 2001186
3
Digital Compression for Multimedia: Principles & Standards
199861
4 200654
5 200044
6 201042
7 201338
8 200836
9 196828
10
Information measures for discrete random fields
199825
11 198125
12 200619
13 201018
14 197217
15 198713
16 197511
17 20159
18 20129
19 20037
20 20177

About Toby Berger

Toby Berger is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), stochastic dynamics and bifurcation (10 papers), Neural Networks and Applications (7 papers), Cooperative Communication and Network Coding (7 papers), Advanced Data Compression Techniques (6 papers), Wireless Communication Security Techniques (6 papers), Algorithms and Data Compression (4 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Signal Processing (218 citations), Computer Vision and Pattern Recognition (386 citations), Computer Networks and Communications (373 citations), Artificial Intelligence (482 citations) and Electrical and Electronic Engineering (493 citations). Toby Berger has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include Igor Devetak, Jun Chen, William B. Levy, James W. Mandell, S.S. Hemami, Douglas S. Chan, Zhongxing Ye, Chao Tian, Lang Tong and Jerry D. Gibson. Their work appears in journals such as IEEE Transactions on Information Theory, Physica A Statistical Mechanics and its Applications, Biometrics, Physical Review Letters and Discrete Applied Mathematics.

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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