World's Best Scientists 2026 revealed!
Burkhard Morgenstern

Burkhard Morgenstern

D-Index & Metrics

Computer Science

D-Index
44
Citations
16825
World Ranking
7378
National Ranking
360

Burkhard Morgenstern 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 Burkhard Morgenstern 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: 110 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Burkhard Morgenstern 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 Burkhard Morgenstern 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Burkhard Morgenstern is affiliated with the University of Göttingen in Germany. Their research spans multiple fields within the life sciences, focusing extensively on biochemistry, genetics, and molecular biology, with a significant overlap in agricultural and biological sciences.

Their work covers main topics such as genomics and phylogenetic studies, algorithms and data compression, plant-microbe interactions and immunity, plant pathogenic bacteria studies, chromosomal and genetic variations, RNA and protein synthesis mechanisms, and genetic diversity and population structure.

Major subfields of their study include molecular biology, plant science, artificial intelligence, ecology, and genetics.

Burkhard Morgenstern has published in several scientific venues, including bioRxiv (Cold Spring Harbor Laboratory), Frontiers in Microbiology, GigaScience, BMC Bioinformatics, and Molecular Plant Pathology.

Notable recent papers authored or coauthored by them include:

  • Verticillium longisporum Elicits Media-Dependent Secretome Responses With Capacity to Distinguish Between Plant-Related Environments (2020, Frontiers in Microbiology)
  • Smash++: an alignment-free and memory-efficient tool to find genomic rearrangements (2020, GigaScience)
  • S-conLSH: alignment-free gapped mapping of noisy long reads (2021, BMC Bioinformatics)
  • A 20-kb lineage-specific genomic region tames virulence in pathogenic amphidiploid Verticillium longisporum (2021, Molecular Plant Pathology)
  • App-SpaM: phylogenetic placement of short reads without sequence alignment (2021, Bioinformatics Advances)

Frequent coauthors of Burkhard Morgenstern include Rebekka Harting, Isabel Maurus, Jessica Starke, Harald Kusch, and Manuel Landesfeind.

Best Publications

  • AUGUSTUS: ab initio prediction of alternative transcripts

    Mario Stanke;Oliver Keller;Irfan Gunduz;Alec Hayes

  • AUGUSTUS: a web server for gene prediction in eukaryotes that allows user-defined constraints.

    Mario Stanke;Burkhard Morgenstern

  • Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources.

    Mario Stanke;Oliver Schöffmann;Burkhard Morgenstern;Stephan Waack

  • AUGUSTUS: a web server for gene finding in eukaryotes

    Mario Stanke;Rasmus Steinkamp;Stephan Waack;Burkhard Morgenstern

  • MIPS: a database for genomes and protein sequences

    Hans-Werner Mewes;Dmitrij Frishman;Ulrich Güldener;Gertrud Mannhaupt

  • Comparative analysis of the complete genome sequence of the plant growth-promoting bacterium Bacillus amyloliquefaciens FZB42.

    Xiao Hua Chen;Alexandra Koumoutsi;Romy Scholz;Andreas Eisenreich

  • DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment.

    Burkhard Morgenstern

  • DIALIGN: finding local similarities by multiple sequence alignment.

    Burkhard Morgenstern;Kornelie Frech;Andreas W. M. Dress;Thomas Werner

  • Multiple DNA and protein sequence alignment based on segment-to-segment comparison

    Burkhard Morgenstern;Andreas Dress;Thomas Werner

  • AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome.

    Mario Stanke;Ana Tzvetkova;Burkhard Morgenstern

  • DIALIGN: multiple DNA and protein sequence alignment at BiBiServ.

    Burkhard Morgenstern

  • DIALIGN-TX: greedy and progressive approaches for segment-based multiple sequence alignment

    Amarendran R Subramanian;Michael Kaufmann;Burkhard Morgenstern

  • Fast and sensitive multiple alignment of large genomic sequences.

    Michael Brudno;Michael A Chapman;Berthold Gottgens;Serafim Batzoglou

  • DIALIGN-T: an improved algorithm for segment-based multiple sequence alignment.

    Amarendran R Subramanian;Jan Weyer-Menkhoff;Michael Kaufmann;Burkhard Morgenstern

  • Benchmarking of alignment-free sequence comparison methods.

    Andrzej Zielezinski;Hani Z. Girgis;Guillaume Bernard;Chris-Andre Leimeister

  • jpHMM: improving the reliability of recombination prediction in HIV-1

    Anne-Kathrin Schultz;Ming Zhang;Ingo Bulla;Thomas Leitner

  • Evolution of bHLH transcription factors: modular evolution by domain shuffling?

    B Morgenstern;W R Atchley

  • The role of recombination in the emergence of a complex and dynamic HIV epidemic

    Ming Zhang;Brian Foley;Anne-Kathrin Schultz;Jennifer P Macke

  • Fast alignment-free sequence comparison using spaced-word frequencies

    Chris-Andre Leimeister;Marcus Boden;Sebastian Horwege;Sebastian Lindner

  • Gene prediction in metagenomic fragments: A large scale machine learning approach

    Katharina Jasmin Hoff;Maike Tech;Thomas Lingner;Rolf Daniel

Frequent Co-Authors

Mario Stanke
Mario Stanke University of Greifswald
Andreas W. M. Dress
Andreas W. M. Dress Max Planck Institute for Mathematics in the Sciences
Christoph Bleidorn
Christoph Bleidorn University of Göttingen
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory
Michael Brudno
Michael Brudno University of Toronto
Ivo Feussner
Ivo Feussner University of Göttingen
Thomas Leitner
Thomas Leitner Los Alamos National Laboratory
Gerhard H. Braus
Gerhard H. Braus University of Göttingen
Fengzhu Sun
Fengzhu Sun University of Southern California
Peter F. Stadler
Peter F. Stadler Leipzig University

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