World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9962
World Ranking
7864
National Ranking
3400

Toby Berger publication distribution in Computer Science in 2026

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 Toby Berger sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 138 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Toby Berger D-index placement in Computer Science in 2026

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 Toby Berger sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2011 - IEEE Richard W. Hamming Medal “For contributions to Information Theory, including source coding and its applications.”
  • 2006 - Member of the National Academy of Engineering For contributions to the theory and practice of lossy data compression.
  • 2002 - IEEE Claude E. Shannon Award
  • 1975 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Toby Berger was affiliated with the University of Virginia in the United States. Their research centered primarily on engineering, with a strong focus on control and systems engineering as well as related subfields including numerical analysis, computational theory and mathematics, electrical and electronic engineering, and computer networks and communications.

Their scholarly output included contributions to a range of topics within control systems, such as advanced control systems optimization, adaptive control of nonlinear systems, stability and control of uncertain systems, and the stability and controllability of differential equations. They also researched iterative learning control systems, fault detection and control systems, and the control and stability of dynamical systems.

Toby Berger published their research in multiple venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • Automatica
  • SIAM Journal on Control and Optimization
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters

They collaborated regularly with colleagues including Lukas Lanza, Dario Dennstädt, Karl Worthmann, Juhi Jaiswal, and Nutan Kumar Tomar.

Some of their recent research publications are as follows:

  • Input-Constrained Funnel Control of Nonlinear Systems (2024), IEEE Transactions on Automatic Control
  • Funnel Model Predictive Control for Nonlinear Systems with Relative Degree One (2022), SIAM Journal on Control and Optimization
  • Feedback Control of the COVID-19 Pandemic with Guaranteed Non-Exceeding ICU Capacity (2021), Systems & Control Letters
  • Artificial Intelligence in B2B Sales: Impact on the Sales Process (2022), AHFE International
  • Funnel MPC for Nonlinear Systems with Arbitrary Relative Degree (2024), Automatica

Throughout their career, Berger received several notable recognitions, including the IEEE Richard W. Hamming Medal in 2011 for contributions to information theory and source coding, membership in the National Academy of Engineering in 2006 for work on lossy data compression, the IEEE Claude E. Shannon Award in 2002, and a fellowship from the John Simon Guggenheim Memorial Foundation in 1975.

Best Publications

  • Rate distortion theory : a mathematical basis for data compression

    Toby Berger

  • Rate-Distortion Theory

    Toby Berger

  • The CEO problem [multiterminal source coding]

    T. Berger;Zhen Zhang;H. Viswanathan

  • The quadratic Gaussian CEO problem

    H. Viswanathan;T. Berger

  • Reliable online human signature verification systems

    L.L. Lee;T. Berger;E. Aviczer

  • Digital Compression for Multimedia: Principles & Standards

    Jerry D. Gibson;Toby Berger;Tom Lookabaugh;Dave Lindbergh

  • Low-entanglement remote state preparation.

    Igor Devetak;Toby Berger

  • Optimum pulse amplitude modulation--I: Transmitter-receiver design and bounds from information theory

    T. Berger;D. Tufts

  • New results in binary multiple descriptions

    Unknown

  • Optimum quantizers and permutation codes

    T. Berger

  • Rate-distortion for correlated sources with partially separated encoders

    A. Kaspi;T. Berger

  • An upper bound on the sum-rate distortion function and its corresponding rate allocation schemes for the CEO problem

    Jun Chen;Xin Zhang;T. Berger;S.B. Wicker

  • Random Multiple-Access Communication and Group Testing

    T. Berger;N. Mehravari;D. Towsley;J. Wolf

  • Multiterminal source encoding with one distortion criterion

    T. Berger;R.W. Yeung

  • Lossy source coding

    T. Berger;J.D. Gibson

  • Permutation codes for sources

    T. Berger;F. Jelinek;J. Wolf

  • The capacity of finite-State Markov Channels With feedback

    Unknown

  • Adaptive method and system for real time verification of dynamic human signatures

    Luan L. Lee;Toby Berger

  • Multiterminal source coding with high resolution

    R. Zamir;T. Berger

  • Estimation via compressed information

    Z. Zhang;T. Berger

  • Fixed-slope universal lossy data compression

    En-hui Yang;Zhen Zhang;T. Berger

  • Minimum entropy quantizers and permutation codes

    T. Berger

Frequent Co-Authors

Jerry D. Gibson
Jerry D. Gibson University of California, Santa Barbara
Jack K. Wolf
Jack K. Wolf University of California, San Diego
Harish Viswanathan
Harish Viswanathan Nokia (United States)
Ram Zamir
Ram Zamir Tel Aviv University
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Alon Orlitsky
Alon Orlitsky University of California, San Diego
Raymond W. Yeung
Raymond W. Yeung Chinese University of Hong Kong
Don Towsley
Don Towsley University of Massachusetts Amherst

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