World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
14511
World Ranking
9493
National Ranking
4021

Walter L. Ruzzo 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 Walter L. Ruzzo 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: 95 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Walter L. Ruzzo 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 Walter L. Ruzzo 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Walter L. Ruzzo is affiliated with the University of Washington in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions in the subfields of Molecular Biology, Cancer Research, Artificial Intelligence, Surgery, and Genetics.

The scientist's work covers several main topics, including:

  • Bayesian Methods and Mixture Models
  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • Pancreatic function and diabetes
  • Pluripotent Stem Cells Research
  • Genetic Syndromes and Imprinting
  • Cancer, Hypoxia, and Metabolism

Recent publications by Walter L. Ruzzo span a range of journals and research topics:

  • Metabolic Control over mTOR-Dependent Diapause-like State, 2020, Developmental Cell
  • Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities, 2020, Scientific Reports
  • Does rapid sequence divergence preclude RNA structure conservation in vertebrates?, 2022, Nucleic Acids Research
  • Polee: RNA-Seq analysis using approximate likelihood, 2021, NAR Genomics and Bioinformatics
  • Polee: RNA-Seq analysis using approximate likelihood, 2020, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated frequently with several researchers, including:

  • Daniel C. Jones
  • Abdiasis M. Hussein
  • Yuliang Wang
  • Julie Mathieu
  • Lilyana Margaretha

Walter L. Ruzzo's work has been published in a variety of scientific venues reflecting their interdisciplinary approach. These venues include:

  • Developmental Cell
  • Scientific Reports
  • Nucleic Acids Research
  • NAR Genomics and Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Protection in operating systems

    Michael A. Harrison;Walter L. Ruzzo;Jeffrey D. Ullman

  • Principal component analysis for clustering gene expression data.

    Ka Yee Yeung;Walter L. Ruzzo

  • Model-based clustering and data transformations for gene expression data.

    Ka Yee Yeung;Chris Fraley;Alejandro Murua;Adrian E. Raftery

  • Validating clustering for gene expression data

    Ka Yee Yeung;David R. Haynor;Walter L. Ruzzo

  • Limits to Parallel Computation: P-Completeness Theory

    Raymond Greenlaw;H. James Hoover;Walter L. Ruzzo

  • The electrical resistance of a graph captures its commute and cover times

    Ashok K. Chandra;Prabhakar Raghavan;Walter L. Ruzzo;Roman Smolensky

  • On uniform circuit complexity

    Walter L. Ruzzo

  • Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming

    Yi Cao;Zizhen Yao;Deepayan Sarkar;Michael Lawrence

  • The electrical resistance of a graph captures its commute and cover times

    A. K. Chandra;P. Raghavan;W. L. Ruzzo;R. Smolensky

  • CMfinder---a covariance model based RNA motif finding algorithm

    Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

  • MicroRNA Discovery and Profiling in Human Embryonic Stem Cells by Deep Sequencing of Small RNA Libraries

    Merav Bar;Stacia K. Wyman;Brian R. Fritz;Junlin Qi

  • Tree-size bounded alternation

    Walter L. Ruzzo

  • An Improved Context-Free Recognizer

    Susan L. Graham;Michael Harrison;Walter L. Ruzzo

  • Improved gene selection for classification of microarrays.

    Jochen Jaeger;Rimli Sengupta;Walter L. Ruzzo

  • Compression of next-generation sequencing reads aided by highly efficient de novo assembly

    Daniel C. Jones;Walter L. Ruzzo;Xinxia Peng;Michael G. Katze

  • Space-bounded hierarchies and probabilistic computations

    Walter L. Ruzzo;Janos Simon;Martin Tompa

  • Two applications of inductive counting for complementation problems

    A. Borodin;S. A. Cook;P. W. Dymond;W. L. Ruzzo

  • A Linear Time Algorithm for Finding All Maximal Scoring Subsequences

    Walter L. Ruzzo;Martin Tompa

  • A regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data.

    Zizhen Yao;Walter L Ruzzo

  • Limits to parallel computation

    Unknown

  • On protection in operating systems

    Michael A. Harrison;Walter L. Ruzzo;Jeffrey D. Ullman

  • CMfinder—acovariancemodelbasedRNA motiffinding algorithm

    Zizhen Yao;Zasha Weinberg;Walter L. Ruzzo

Frequent Co-Authors

Zizhen Yao
Zizhen Yao Allen Institute for Brain Science
Martin Tompa
Martin Tompa University of Washington
Allan Borodin
Allan Borodin University of Toronto
Jan Gorodkin
Jan Gorodkin University of Copenhagen
Ronald R. Breaker
Ronald R. Breaker Yale University
Stephen J. Tapscott
Stephen J. Tapscott Fred Hutchinson Cancer Research Center
Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Paul Beame
Paul Beame University of Washington
Jeffrey E. Barrick
Jeffrey E. Barrick The University of Texas at Austin

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