World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
13385
World Ranking
8602
National Ranking
423

Tobias Marschall 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 Tobias Marschall 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Tobias Marschall 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 Tobias Marschall 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Tobias Marschall is affiliated with Heinrich Heine University Düsseldorf in Germany, focusing on research within the field of Biochemistry, Genetics and Molecular Biology. Their work spans various subfields, including Molecular Biology, Genetics, Plant Science, Cancer Research, and Surgery.

The primary research topics covered in their publications include:

  • Genomics and Phylogenetic Studies
  • Chromosomal and Genetic Variations
  • Genomic variations and chromosomal abnormalities
  • Genomics and Rare Diseases
  • Cancer Genomics and Diagnostics
  • RNA and protein synthesis mechanisms
  • Genome Rearrangement Algorithms

Tobias Marschall's recent papers include the following:

  • The complete sequence of a human genome, 2022, Science
  • Eleven grand challenges in single-cell data science, 2020, Genome biology
  • High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios, 2022, Cell
  • Haplotype-resolved diverse human genomes and integrated analysis of structural variation, 2021, Science
  • Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes, 2020, Nature Biotechnology

Frequent coauthors who have collaborated extensively with Tobias Marschall include:

  • Evan E. Eichler
  • Jan O. Korbel
  • Jana Ebler
  • Peter Ebert
  • David Porubskỳ

The venues where Tobias Marschall has published multiple works are:

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

Best Publications

  • Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome.

    Aaron M. Wenger;Paul Peluso;William J. Rowell;Pi-Chuan Chang

  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

  • Multi-platform discovery of haplotype-resolved structural variation in human genomes

    Mark J.P. Chaisson;Mark J.P. Chaisson;Ashley D. Sanders;Xuefang Zhao;Xuefang Zhao;Ankit Malhotra

  • Haplotype-resolved diverse human genomes and integrated analysis of structural variation.

    Peter Ebert;Peter A. Audano;Qihui Zhu;Bernardo Rodriguez-Martin

  • Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes.

    Kishwar Shafin;Trevor Pesout;Ryan Lorig-Roach;Marina Haukness

  • WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads

    Murray Patterson;Tobias Marschall;Nadia Pisanti;Leo van Iersel

  • WhatsHap: fast and accurate read-based phasing

    M. Martin;Patterson;S. Garg (Shilpa);S. Fischer

  • Mapping and phasing of structural variation in patient genomes using nanopore sequencing

    Mircea Cretu Stancu;Markus J. van Roosmalen;Ivo Renkens;Marleen M. Nieboer

  • A robust benchmark for detection of germline large deletions and insertions.

    Justin M. Zook;Nancy F. Hansen;Nathan D. Olson;Lesley Chapman

  • Computational pan-genomics: status, promises and challenges.

    Tobias Marschall;Manja Marz;Manja Marz;Thomas Abeel;Louis Dijkstra

  • GraphAligner: rapid and versatile sequence-to-graph alignment.

    Mikko Rautiainen;Mikko Rautiainen;Tobias Marschall

  • Fully phased human genome assembly without parental data using single-cell strand sequencing and long reads.

    David Porubsky;Peter Ebert;Peter A. Audano;Mitchell R. Vollger

  • Chromosome-scale, haplotype-resolved assembly of human genomes.

    Shilpa Garg;Arkarachai Fungtammasan;Andrew Carroll;Mike Chou

  • The complete sequence of a human genome

    Nurk S;Koren S;Rhie A;Rautiainen M

  • Viral Quasispecies Assembly via Maximal Clique Enumeration

    Armin Töpfer;Tobias Marschall;Rowena A. Bull;Fabio Luciani

  • Expectations and blind spots for structural variation detection from long-read assemblies and short-read genome sequencing technologies.

    Xuefang Zhao;Ryan L Collins;Wan-Ping Lee;Alexandra M Weber

  • CLEVER: clique-enumerating variant finder.

    Tobias Marschall;Ivan G. Costa;Stefan Canzar;Markus Bauer

  • A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

    Jayne Y. Hehir-Kwa;Tobias Marschall;Wigard P. Kloosterman;Laurent C. Francioli

  • Dense and accurate whole-chromosome haplotyping of individual genomes.

    David Porubsky;David Porubsky;Shilpa Garg;Shilpa Garg;Ashley D. Sanders;Ashley D. Sanders;Jan O. Korbel

  • Single-cell analysis of structural variations and complex rearrangements with tri-channel processing

    Ashley D. Sanders;Sascha Meiers;Maryam Ghareghani;Maryam Ghareghani;David Porubsky;David Porubsky

  • Benchmarking challenging small variants with linked and long reads

    Justin Wagner;Nathan D Olson;Lindsay Harris;Ziad Khan

Frequent Co-Authors

Evan E. Eichler
Evan E. Eichler University of Washington
Jan O. Korbel
Jan O. Korbel European Molecular Biology Laboratory
Gunnar W. Klau
Gunnar W. Klau Heinrich Heine University Düsseldorf
Justin M. Zook
Justin M. Zook National Institute of Standards and Technology
Peter M. Lansdorp
Peter M. Lansdorp University of British Columbia
Fritz J. Sedlazeck
Fritz J. Sedlazeck Baylor College of Medicine
Chen-Shan Chin
Chen-Shan Chin Pacific Biosciences (United States)
Benedict Paten
Benedict Paten University of California, Santa Cruz
Michael E. Talkowski
Michael E. Talkowski Harvard University
Victor Guryev
Victor Guryev University Medical Center Groningen

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