Toby Berger

2.7k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Toby Berger is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Toby Berger has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in Toby Berger's work include Neural dynamics and brain function (13 papers), stochastic dynamics and bifurcation (10 papers) and Advanced Data Compression Techniques (6 papers). Toby Berger is often cited by papers focused on Neural dynamics and brain function (13 papers), stochastic dynamics and bifurcation (10 papers) and Advanced Data Compression Techniques (6 papers). Toby Berger collaborates with scholars based in United States, United Kingdom and Switzerland. Toby Berger's co-authors include Igor Devetak, Jun Chen, William B. Levy, Chao Tian, S.S. Hemami, Douglas S. Chan, Lang Tong, Zhongxing Ye, James W. Mandell and Jerry D. Gibson and has published in prestigious journals such as Physical Review Letters, Biometrics and IEEE Transactions on Information Theory.

In The Last Decade

Toby Berger

35 papers receiving 1.2k citations

Hit Papers

Rate distortion theory : a mathematical basis for data co... 1971 2026 1989 2007 1971 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rate distortion theory : a mathematical basis for data compression
    1971 620 citations Toby Berger Prentice Hall eBooks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toby Berger United States 14 461 452 350 328 196 37 1.2k
Yoshiyuki Kabashima Japan 18 316 0.7× 433 1.0× 113 0.3× 452 1.4× 197 1.0× 110 1.4k
Daehyun Kim United States 17 451 1.0× 335 0.7× 269 0.8× 770 2.3× 133 0.7× 57 1.6k
Subhash Kak United States 19 141 0.3× 792 1.8× 286 0.8× 157 0.5× 99 0.5× 188 1.6k
J. Hérault France 15 208 0.5× 352 0.8× 523 1.5× 52 0.2× 317 1.6× 37 1.3k
Yoshifumi Nishio Japan 16 310 0.7× 278 0.6× 145 0.4× 469 1.4× 39 0.2× 329 1.1k
Yukihiro Tadokoro Japan 17 517 1.1× 85 0.2× 145 0.4× 173 0.5× 296 1.5× 143 1.1k
Alessandro Trifiletti Italy 25 1.6k 3.6× 659 1.5× 498 1.4× 237 0.7× 103 0.5× 250 2.6k
J.O. Limb United States 23 593 1.3× 137 0.3× 959 2.7× 855 2.6× 396 2.0× 64 2.1k
J.L. Huertas Spain 26 1.7k 3.6× 723 1.6× 148 0.4× 425 1.3× 67 0.3× 168 2.5k
J. Thomas United States 7 415 0.9× 120 0.3× 80 0.2× 353 1.1× 55 0.3× 14 926

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-authorship network of co-authors of Toby Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Berger. A scholar is included among the top collaborators of Toby Berger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toby Berger. Toby Berger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Berger, Toby, et al.. (2018). Discrete Reconstruction Alphabets in Discrete Memoryless Source Rate-Distortion Problems. 116–120. 1 indexed citations
2.
Berger, Toby, et al.. (2016). Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons. IEEE Transactions on Molecular Biological and Multi-Scale Communications. 2(2). 166–182. 5 indexed citations
3.
Berger, Toby, et al.. (2013). Energy efficient neurons with generalized inverse Gaussian conditional and marginal hitting times. 301. 1824–1828. 3 indexed citations
4.
Chan, Douglas S., Toby Berger, & Lang Tong. (2013). Carrier Sense Multiple Access Communications on Multipacket Reception Channels: Theory and Applications to IEEE 802.11 Wireless Networks. IEEE Transactions on Communications. 61(1). 266–278. 38 indexed citations
5.
Berger, Toby, et al.. (2011). Energy efficient neurons with generalized inverse Gaussian interspike interval durations. 1737–1742. 5 indexed citations
6.
Cheng, Jay & Toby Berger. (2009). On Minimal Eigenvalues of a Class of Tridiagonal Matrices. IEEE Transactions on Information Theory. 55(11). 5024–5031. 4 indexed citations
7.
8.
Chen, Jun, Chao Tian, Toby Berger, & S.S. Hemami. (2006). Multiple Description Quantization Via Gram–Schmidt Orthogonalization. IEEE Transactions on Information Theory. 52(12). 5197–5217. 53 indexed citations
9.
Chen, Jun, Chao Tian, Toby Berger, & S.S. Hemami. (2005). Achieving the Multiple Description Rate-Distortion Region with Lattice Quantization. 1 indexed citations
10.
Berger, Toby & V.I. Levenshtein. (2003). Application of cover-free codes and combinatorial designs to two-stage testing. Discrete Applied Mathematics. 128(1). 11–26. 5 indexed citations
11.
Xiang, Bing & Toby Berger. (2002). Structural Gaussian mixture models for efficient text-independent speaker verification. 1317–1320. 1 indexed citations
12.
Devetak, Igor & Toby Berger. (2001). Low-Entanglement Remote State Preparation. Physical Review Letters. 87(19). 197901–197901. 185 indexed citations
13.
Berger, Toby, et al.. (2000). Maximally Efficient Two‐Stage Screening. Biometrics. 56(3). 833–840. 36 indexed citations
14.
Ye, Zhongxing & Toby Berger. (1998). Information measures for discrete random fields. 25 indexed citations
15.
Gibson, Jerry D., et al.. (1998). Digital Compression for Multimedia: Principles & Standards. Medical Entomology and Zoology. 50 indexed citations
16.
Berger, Toby & Zhongxing Ye. (1990). Cardinality of phase transition of Ising models on closed cayley trees. Physica A Statistical Mechanics and its Applications. 166(3). 549–574. 1 indexed citations
17.
Berger, Toby. (1988). Andrei Nikolaevich Kolmogorov (April 25, 1903-October 20, 1987).. IEEE Transactions on Information Theory. 34. 173. 1 indexed citations
18.
Berger, Toby & L. Davisson. (1975). Advances in Source Coding. 2 indexed citations
19.
Berger, Toby. (1971). Rate distortion theory : a mathematical basis for data compression. Prentice Hall eBooks. 620 indexed citations breakdown →
20.
Berger, Toby. (1968). Rate distortion theory for sources with abstract alphabets and memory. Information and Control. 13(3). 254–273. 27 indexed citations

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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