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Khalid Sayood 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 Khalid Sayood 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+

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

Khalid Sayood 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 Khalid Sayood 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+

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

Overview

Khalid Sayood is affiliated with the University of Nebraska-Lincoln in the United States. Their research spans multiple fields including Biochemistry, Genetics and Molecular Biology, Medicine, and Computer Science. Within these areas, Sayood's work touches on various subfields such as Molecular Biology, Epidemiology, Genetics, Artificial Intelligence, and Ecology.

Their research topics cover a range of subjects related to genomics, bioinformatics, and microbial studies. Notable topics include:

  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Fractal and DNA sequence analysis
  • Bacillus and Francisella bacterial research
  • Yersinia bacterium, plague, ectoparasites research
  • Bacteriophages and microbial interactions
  • Viral-associated cancers and disorders

Sayood has contributed to several scientific papers across a variety of academic journals. Selected recent publications include:

  • Differentiation of Francisella tularensis Subspecies and Subtypes, 2020, Journal of Clinical Microbiology
  • Bone Marrow-Derived SH-SY5Y Neuroblastoma Cells Infected with Kaposi's Sarcoma-Associated Herpesvirus Display Unique Infection Phenotypes and Growth Properties, 2021, Journal of Virology
  • Use of Average Mutual Information and Derived Measures to Find Coding Regions, 2021, Entropy
  • Retracted: A Routine Electroencephalography Monitoring System for Automated Sports-Related Concussion Detection, 2021, Neurotrauma Reports

In addition to peer-reviewed papers, Sayood has authored books published by Morgan & Claypool Publishers. These include:

  • Signals and Systems, 2021
  • Signals and Systems: A One Semester Modular Course, 2021
  • Bioinformatics, 2022

Their work has appeared in a variety of publication venues, including:

  • Journal of Clinical Microbiology
  • Journal of Virology
  • Entropy
  • Neurotrauma Reports

Throughout their career, Sayood has collaborated with multiple researchers on various projects. Frequent co-authors include:

  • Hasan H. Otu
  • Amirsalar Mansouri
  • Marilynn A. Larson
  • Amanda M. Bartling
  • Jennifer R. Meyer

Best Publications

  • Introduction to data compression

    Khalid Sayood

  • Statistical evaluation of image quality measures

    Ismail Avcibas;Bulent Sankur;Khalid Sayood

  • A new sequence distance measure for phylogenetic tree construction

    Hasan H. Otu;Khalid Sayood

  • Use of residual redundancy in the design of joint source/channel coders

    K. Sayood;J.C. Borkenhagen

  • Introduction to data compression (2nd ed.)

    Khalid Sayood

  • Lossless Compression Handbook

    Khalid Sayood

  • Metagenomic analysis of the microbial community in kefir grains

    Ufuk Nalbantoglu;Atilla Cakar;Haluk Dogan;Neslihan Abaci

  • Lossless compression of multispectral image data

    N.D. Memon;K. Sayood;S.S. Magliveras

  • Joint source/channel coding for variable length codes

    K. Sayood;H.H. Otu;N. Demir

  • Joint source/channel coding for variable length codes

    N. Demir;K. Sayood

  • Lossless image compression: a comparative study

    Nasir D. Memon;Khalid Sayood

  • Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average

    Hongqiang Wang;S.D. Babacan;K. Sayood

  • Joint source/channel coding using arithmetic codes

    B.D. Pettijohn;M.W. Hoffman;K. Sayood

  • Lossless compression of video sequences

    N.D. Memon;K. Sayood

  • A constrained joint source/channel coder design

    K. Sayood;Fuling Liu;J.D. Gibson

  • RAIphy: Phylogenetic classification of metagenomics samples using iterative refinement of relative abundance index profiles

    Ozkan U Nalbantoglu;Samuel F Way;Steven H Hinrichs;Khalid Sayood

  • A CMOS Imager With Focal Plane Compression Using Predictive Coding

    W.D. Leon-Salas;S. Balkir;K. Sayood;N. Schemm

  • An algorithm for uniform vector quantizer design

    K. Sayood;J. Gibson;M. Rost

  • The Average Mutual Information Profile as a Genomic Signature

    Mark Bauer;Sheldon M Schuster;Khalid Sayood

  • Transactions Papers Use of Residual Redundancy in the Design of Joint Source/Channel Coders

    Khalid Sayood;Jay C. Borkenhagen

Frequent Co-Authors

Nasir Memon
Nasir Memon New York University
Jerry D. Gibson
Jerry D. Gibson University of California, Santa Barbara
Bulent Sankur
Bulent Sankur Boğaziçi University
Paul M. Dunman
Paul M. Dunman University of Rochester
Eric P. Skaar
Eric P. Skaar Vanderbilt University Medical Center
Paul D. Fey
Paul D. Fey University of Nebraska Medical Center
Gary Xie
Gary Xie Los Alamos National Laboratory
Charles Wood
Charles Wood University of Nebraska–Lincoln
Anders Sjöstedt
Anders Sjöstedt Umeå University

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