Toby Berger
Impact in
- Signal Processing top 5%
-
- Advanced Data Compression Techniques
Papers in
-
- Neural dynamics and brain function 13
-
- stochastic dynamics and bifurcation 10
- Co-authors
- Igor Devetak (2 shared papers)Jun Chen (3 shared papers)William B. Levy (7 shared papers)Douglas S. Chan (2 shared papers)Chao Tian (2 shared papers)S.S. Hemami (2 shared papers)Lang Tong (1 shared paper)Zhongxing Ye (3 shared papers)
- Journals
- IEEE Transactions on Information Theory (7 papers)Physica A Statistical Mechanics and its Applications (2 papers)Discrete Applied Mathematics (1 paper)The Annals of Probability (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesTaiwanThailand
In The Last Decade
Toby Berger
35 papers receiving 1.2k citations
Toby Berger's Hit Papers
Peers
Comparison fields: 5 of 81
- Signal Processing 196
- Computer Vision and Pattern Recognition 350
- Computer Networks and Communications 328
- Artificial Intelligence 452
- Electrical and Electronic Engineering 461
Countries citing papers authored by Toby Berger
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
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 18 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.
All Works
Showing the 20 most-cited of 37 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 → | 1971 | 620 |
| 2 | 2001 | 185 | |
| 3 | 2006 | 53 | |
| 4 | Digital Compression for Multimedia: Principles & Standards | 1998 | 50 |
| 5 | 2010 | 41 | |
| 6 | 2013 | 38 | |
| 7 | 2000 | 36 | |
| 8 | 2008 | 36 | |
| 9 | 1968 | 27 | |
| 10 | Information measures for discrete random fields | 1998 | 25 |
| 11 | 2010 | 18 | |
| 12 | 1972 | 17 | |
| 13 | 2006 | 17 | |
| 14 | 1987 | 13 | |
| 15 | 2015 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 5 | |
| 19 | 2003 | 5 | |
| 20 | 2011 | 5 |
About Toby Berger
Toby Berger is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 1.2k 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 (6 papers), Advanced Data Compression Techniques (6 papers), Cooperative Communication and Network Coding (4 papers), Wireless Communication Security Techniques (4 papers), Neuroscience and Neural Engineering (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Signal Processing (196 citations), Computer Vision and Pattern Recognition (350 citations), Computer Networks and Communications (328 citations), Artificial Intelligence (452 citations) and Electrical and Electronic Engineering (461 citations). Toby Berger has collaborated with scholars based in United States, Taiwan and Thailand. Frequent co-authors include Igor Devetak, Jun Chen, William B. Levy, Douglas S. Chan, Chao Tian, S.S. Hemami, Lang Tong, Zhongxing Ye, James W. Mandell and Jerry D. Gibson. Their work appears in journals such as IEEE Transactions on Information Theory, Physica A Statistical Mechanics and its Applications, Discrete Applied Mathematics, The Annals of Probability and Physical Review Letters.
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.