World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
113
Citations
108138
World Ranking
844
National Ranking
529

Computer Science

D-Index
97
Citations
90962
World Ranking
413
National Ranking
227

Pavel A. Pevzner 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 Pavel A. Pevzner 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Pavel A. Pevzner 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 Pavel A. Pevzner 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: 97 D-Index — 97th percentile

97% 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

  • 2018 - ACM Paris Kanellakis Theory and Practice Award For pioneering contributions to the theory, design, and implementation of algorithms for string reconstruction and to their applications in the assembly of genomes.
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2016 - Member of Academia Europaea
  • 2012 - Fellow of the International Society for Computational Biology
  • 2010 - ACM Fellow For contribution to algorithms for genome rearrangements, DNA sequencing, and proteomics.

Overview

Pavel A. Pevzner is affiliated with the University of California, San Diego in the United States. Their research spans multiple areas within biochemistry, genetics, and molecular biology, with a significant focus on computational methods applied to genomics and bioinformatics.

The scientist's research contributions are extensively documented through numerous publications, including articles and books. Notable recent papers include:

  • The complete sequence of a human genome, 2022, Science
  • metaFlye: scalable long-read metagenome assembly using repeat graphs, 2020, Nature Methods
  • Telomere-to-telomere assembly of a complete human X chromosome, 2020, Nature
  • Complete genomic and epigenetic maps of human centromeres, 2022, Science
  • Metaviral SPAdes: assembly of viruses from metagenomic data, 2020, Bioinformatics

The scientist frequently collaborates with several co-authors, among them:

  • Andrey V. Bzikadze
  • Dmitry Antipov
  • Mikhail Kolmogorov
  • Tatiana Dvorkina
  • Yana Safonova

Their work is published in a variety of venues, indicating a broad engagement with the scientific community. The most frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Genome Research
  • Bioinformatics
  • Nature Biotechnology

Pavel A. Pevzner has also contributed to book publications, including a title published by Springer Science+Business Media:

  • Computational Advances in Bio and Medical Sciences, 2021

Their research covers several main fields and subfields of study:

  • Biochemistry, Genetics and Molecular Biology
  • Agricultural and Biological Sciences

  • Molecular Biology
  • Plant Science
  • Ecology
  • Genetics
  • Artificial Intelligence

The scientist's main topics of work include:

  • Genomics and Phylogenetic Studies
  • Chromosomal and Genetic Variations
  • Bacteriophages and microbial interactions
  • RNA and protein synthesis mechanisms
  • Plant Virus Research Studies
  • Algorithms and Data Compression
  • Genomic variations and chromosomal abnormalities

Awards received by Pavel A. Pevzner reflect recognition from various scientific organizations and include:

  • ACM Paris Kanellakis Theory and Practice Award, 2018, for pioneering contributions to algorithms for string reconstruction and genome assembly applications
  • Fellow of the American Association for the Advancement of Science (AAAS), 2018
  • Member of Academia Europaea, 2016
  • Fellow of the International Society for Computational Biology, 2012
  • ACM Fellow, 2010, for contributions to genome rearrangement algorithms, DNA sequencing, and proteomics

Best Publications

  • SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing

    Anton Bankevich;Sergey Nurk;Dmitry Antipov;Alexey A. Gurevich

  • Initial sequencing and comparative analysis of the mouse genome.

    Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers

  • Assembly of long, error-prone reads using repeat graphs

    Mikhail Kolmogorov;Jeffrey Yuan;Yu Lin;Pavel A. Pevzner

  • Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

    Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez

  • MetaSPAdes: A new versatile metagenomic assembler

    Sergey Nurk;Dmitry Meleshko;Anton Korobeynikov;Pavel A. Pevzner;Pavel A. Pevzner

  • The complete sequence of a human genome

    Unknown

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

    Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren

  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution

    Richard A. Gibbs;George M. Weinstock;Michael L. Metzker;Donna M. Muzny

  • De novo identification of repeat families in large genomes

    Alkes L. Price;Neil C. Jones;Pavel A. Pevzner

  • An Eulerian path approach to DNA fragment assembly

    Pavel A. Pevzner;Haixu Tang;Michael S. Waterman

  • Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals

    Sridhar Hannenhalli;Pavel A. Pevzner

  • Assembling Single-Cell Genomes and Mini-Metagenomes From Chimeric MDA Products

    Sergey Nurk;Anton Bankevich;Dmitry Antipov;Alexey A. Gurevich

  • MS-GF+ makes progress towards a universal database search tool for proteomics.

    Sangtae Kim;Pavel A. Pevzner

  • Computational molecular biology : an algorithmic approach

    Pavel A. Pevzner

  • metaFlye: scalable long-read metagenome assembly using repeat graphs

    Mikhail Kolmogorov;Derek M Bickhart;Bahar Behsaz;Alexey Gurevich

  • How to apply de Bruijn graphs to genome assembly

    Phillip E C Compeau;Pavel A Pevzner;Glenn Tesler

  • Genome Rearrangements and Sorting by Reversals

    Vineet Bafna;Pavel A. Pevzner

  • PepNovo: De Novo Peptide Sequencing via Probabilistic Network Modeling

    Ari Frank;Pavel Pevzner

  • American Gut: an Open Platform for Citizen Science Microbiome Research.

    Daniel McDonald;Embriette Hyde;Justine W. Debelius;James T. Morton

  • De Novo Peptide Sequencing via Tandem Mass Spectrometry

    Vlado Dančík;Theresa A. Addona;Karl R. Clauser;James E. Vath

  • Combinatorial Approaches to Finding Subtle Signals in DNA Sequences

    Pavel A. Pevzner;Sing-Hoi Sze

  • Telomere-to-telomere assembly of a complete human X chromosome

    Karen H. Miga;Sergey Koren;Arang Rhie;Mitchell R. Vollger

  • An Introduction to Bioinformatics Algorithms

    Neil C. Jones;Pavel Pevzner

  • InsPecT: identification of posttranslationally modified peptides from tandem mass spectra.

    Stephen Tanner;Hongjun Shu;Ari Frank;Ling-Chi Wang

Frequent Co-Authors

Pieter C. Dorrestein
Pieter C. Dorrestein University of California, San Diego
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Vineet Bafna
Vineet Bafna University of California, San Diego
William H. Gerwick
William H. Gerwick University of California, San Diego
Haixu Tang
Haixu Tang Indiana University
Guillaume Bourque
Guillaume Bourque McGill University
Michael S. Waterman
Michael S. Waterman University of Southern California
Ljiljana Paša-Tolić
Ljiljana Paša-Tolić Environmental Molecular Sciences Laboratory
Rob Knight
Rob Knight University of California, San Diego
Alla Lapidus
Alla Lapidus Saint Petersburg State University

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