World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
21083
World Ranking
3181
National Ranking
1542

Dariush Divsalar 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 Dariush Divsalar 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Dariush Divsalar 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 Dariush Divsalar sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 60 D-Index — 78th percentile

78% 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

  • 2014 - IEEE Alexander Graham Bell Medal “For fundamental contributions to the theory and practice of channel codes that transformed deep space and other forms of wireless communications.”
  • 1997 - IEEE Fellow For contributions to the analysis and design of coding and modulation techniques for satellite, mobile, and deep-space communication systems.

Overview

Dariush Divsalar is affiliated with the Jet Propulsion Lab in the United States. Their research spans multiple fields with a strong focus on computer science and engineering, particularly in communication systems and coding techniques.

The scientist's main areas of study include:

  • Computer Science
  • Engineering

Subfields elaborated in their work cover:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Astronomy and Astrophysics
  • Aerospace Engineering

The primary research topics explored are:

  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques
  • Wireless Signal Modulation Classification
  • Cooperative Communication and Network Coding
  • Algorithms and Data Compression
  • Radio Astronomy Observations and Technology
  • Opportunistic and Delay-Tolerant Networks

Dariush Divsalar has contributed to research published in various venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • 2022 IEEE Aerospace Conference (AERO)
  • IEEE Open Journal of the Communications Society
  • 2021 IEEE Global Communications Conference (GLOBECOM)

Recent papers include:

  • "LDPC Decoding With Degree-Specific Neural Message Weights and RCQ Decoding," 2023, IEEE Transactions on Communications
  • "Comparing Performance of Coded Communications over fading channels between the Lunar South Pole & Earth," 2022, 2022 IEEE Aerospace Conference (AERO)
  • "FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing," 2021, 2021 IEEE Global Communications Conference (GLOBECOM)
  • "Neural-Network-Optimized Degree-Specific Weights for LDPC MinSum Decoding," 2021, arXiv (Cornell University)
  • "Channel-Prediction-Driven Rate Control for LDPC Coding in a Fading FSO Channel With Delayed Feedback," 2025, IEEE Open Journal of the Communications Society

Their frequent collaborators include:

  • Richard D. Wesel
  • Linfang Wang
  • Caleb Terrill
  • Chester Hulse
  • Sean Chen

Awards earned consist of:

  • IEEE Alexander Graham Bell Medal (2014) for fundamental contributions to the theory and practice of channel codes that transformed deep space and other wireless communications
  • IEEE Fellow (1997) for contributions to analysis and design of coding and modulation techniques for satellite, mobile, and deep-space communication systems

Best Publications

  • Serial concatenation of interleaved codes: performance analysis, design and iterative decoding

    S. Benedetto;D. Divsalar;G. Montorsi;F. Pollara

  • Improved parallel interference cancellation for CDMA

    D. Divsalar;M.K. Simon;D. Raphaeli

  • Multiple-symbol differential detection of MPSK

    D. Divsalar;M.K. Simon

  • Introduction to Trellis-Coded Modulation With Applications

    Ezio Biglieri;Dariush Divsalar;Marvin K. Simon;Peter J. McLane

  • Coding theorems for 'turbo-like' codes

    D. Divsalar

  • A soft-input soft-output APP module for iterative decoding of concatenated codes

    S. Benedetto;D. Divsalar;G. Montorsi;F. Pollara

  • The design of trellis coded MPSK for fading channels: performance criteria

    D. Divsalar;M.K. Simon

  • Weight distributions for turbo codes using random and nonrandom permutations

    S. Dolinar;D. Divsalar

  • Hybrid concatenated codes and iterative decoding

    D. Divsalar;F. Pollara

  • Turbo codes for PCS applications

    D. Divsalar;F. Pollara

  • Accumulate-Repeat-Accumulate Codes

    A. Abbasfar;D. Divsalar;Kung Yao

  • On the design of turbo codes

    D. Divsalar;F. Pollara

  • Multiple turbo codes for deep-space communications

    D. Divsalar;F. Pollara

  • Iterative turbo decoder analysis based on density evolution

    D. Divsalar;S. Dolinar;F. Pollara

  • Capacity-approaching protograph codes

    D. Divsalar;S. Dolinar;C.R. Jones;K. Andrews

  • Some new twists to problems involving the Gaussian probability integral

    M.K. Simon;D. Divsalar

  • Parallel concatenated trellis coded modulation

    S. Benedetto;D. Divsalar;G. Montorsi;F. Pollara

  • Trellis Coded Modulation for 4800-9600 bits/s Transmission Over a Fading Mobile Satellite Channel

    D. Divsalar;M. Simon

  • Soft-Output Decoding Algorithms in Iterative Decoding of Turbo Codes

    S. Benedetto;G. Montorsi;D. Divsalar;F. Pollara

  • Soft‐input soft‐output modules for the construction and distributed iterative decoding of code networks

    Sergio Benedetto;Guido Montorsi;Dariush Divsalar;Fabrizio Pollara

Frequent Co-Authors

Marvin K. Simon
Marvin K. Simon California Institute of Technology
Richard D. Wesel
Richard D. Wesel University of California, Los Angeles
Guido Montorsi
Guido Montorsi Polytechnic University of Turin
Sergio Benedetto
Sergio Benedetto Polytechnic University of Turin
Lara Dolecek
Lara Dolecek University of California, Los Angeles
Aria Nosratinia
Aria Nosratinia The University of Texas at Dallas
William E. Ryan
William E. Ryan Zeta Associates
Robert J. McEliece
Robert J. McEliece California Institute of Technology
Sami W. Asmar
Sami W. Asmar California Institute of Technology
Giuseppe Caire
Giuseppe Caire Technical University of Berlin

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