World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7781
World Ranking
8354
National Ranking
406

Bertil Schmidt 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 Bertil Schmidt 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: 290 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Bertil Schmidt 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 Bertil Schmidt 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Bertil Schmidt is affiliated with Johannes Gutenberg University of Mainz in Germany. Their research spans fields such as Biochemistry, Genetics and Molecular Biology, and Computer Science, with a significant focus on subfields including Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, as well as Computer Vision and Pattern Recognition.

Their work covers a variety of topics within bioinformatics and computational biology, including:

  • Genomics and Phylogenetic Studies
  • Algorithms and Data Compression
  • Machine Learning in Bioinformatics
  • Advanced Data Storage Technologies
  • Gene expression and cancer classification
  • RNA and protein synthesis mechanisms
  • Cancer Genomics and Diagnostics

Frequent co-authors collaborating with Bertil Schmidt include:

  • Weiguo Liu
  • Zekun Yin
  • Xiaohui Duan
  • Lifeng Yan
  • Andreas Hildebrandt

The scientist has contributed to a range of publication venues, with multiple papers published especially in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • BMC Bioinformatics
  • Bioinformatics
  • IEEE Transactions on Parallel and Distributed Systems
  • Drug Discovery Today

Among recent papers authored or co-authored by Bertil Schmidt are:

  • Deep learning in next-generation sequencing, 2020, Drug Discovery Today
  • From GPUs to AI and quantum: three waves of acceleration in bioinformatics, 2024, Drug Discovery Today

Other influential papers from the related domain but led by different authors include:

  • A big data approach to metagenomics for all-food-sequencing, 2020, BMC Bioinformatics
  • MetaTransformer: deep metagenomic sequencing read classification using self-attention models, 2023, NAR Genomics and Bioinformatics
  • Convolutional neural network prediction of molecular properties for aerosol chemistry and health effects, 2022, Natural Sciences

Best Publications

  • CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

    Yongchao Liu;Douglas L Maskell;Bertil Schmidt

  • Musket: a multistage k-mer spectrum-based error corrector for Illumina sequence data.

    Yongchao Liu;Jan Schröder;Bertil Schmidt

  • CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions.

    Yongchao Liu;Adrianto Wirawan;Bertil Schmidt

  • MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities.

    Yongchao Liu;Bertil Schmidt;Douglas L. Maskell

  • CUDASW++ 2.0: enhanced Smith-Waterman protein database search on CUDA-enabled GPUs based on SIMT and virtualized SIMD abstractions

    Yongchao Liu;Bertil Schmidt;Douglas L Maskell

  • Streaming Algorithms for Biological Sequence Alignment on GPUs

    Liu Weiguo;B. Schmidt;G. Voss;W. Muller-Wittig

  • CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows–Wheeler transform

    Yongchao. Liu;Bertil. Schmidt;Douglas Leslie. Maskell

  • Accelerating molecular dynamics simulations using Graphics Processing Units with CUDA

    Weiguo Liu;Bertil Schmidt;Gerrit Voss;Wolfgang Müller-Wittig

  • SHREC: A short-read error correction method

    Jan Schröder;Heiko Schröder;Simon J. Puglisi;Ranjan Sinha

  • Using reconfigurable hardware to accelerate multiple sequence alignment with ClustalW

    Tim Oliver;Bertil Schmidt;Darran Nathan;Ralf Clemens

  • Bio-sequence database scanning on a GPU

    Weiguo Liu;Bertil Schmidt;Gerrit Voss;Andre Schroder

  • Next-generation sequencing: big data meets high performance computing.

    Bertil Schmidt;Andreas Hildebrandt

  • Long read alignment based on maximal exact match seeds

    Yongchao Liu;Bertil Schmidt

  • Hyper customized processors for bio-sequence database scanning on FPGAs

    Tim Oliver;Bertil Schmidt;Douglas Maskell

  • MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

    Yongchao Liu;Bertil Schmidt;Douglas L. Maskell

  • CUDA-BLASTP: Accelerating BLASTP on CUDA-Enabled Graphics Hardware

    Weiguo Liu;Bertil Schmidt;Wolfgang Muller-Wittig

  • Reconfigurable architectures for bio-sequence database scanning on FPGAs

    T.F. Oliver;B. Schmidt;D.L. Maskell

  • CUDA-MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units

    Yongchao Liu;Bertil Schmidt;Weiguo Liu;Douglas L. Maskell

  • Parallelized short read assembly of large genomes using de Bruijn graphs

    Yongchao Liu;Bertil Schmidt;Douglas L Maskell

  • Molecular dynamics simulations on commodity GPUs with CUDA

    Weiguo Liu;Bertil Schmidt;Gerrit Voss;Wolfgang Müller-Wittig

Frequent Co-Authors

Douglas L. Maskell
Douglas L. Maskell Nanyang Technological University
Chee Keong Kwoh
Chee Keong Kwoh Nanyang Technological University
Vladimir Brusic
Vladimir Brusic University of Nottingham Ningbo China
Thomas Hankeln
Thomas Hankeln Johannes Gutenberg University of Mainz
Srinivas Aluru
Srinivas Aluru Georgia Institute of Technology
Johann Bauersachs
Johann Bauersachs Hannover Medical School
Vipin Chaudhary
Vipin Chaudhary University at Buffalo, State University of New York
Stefan Kramer
Stefan Kramer Johannes Gutenberg University of Mainz
Simon J. Puglisi
Simon J. Puglisi University of Helsinki
David Ellinghaus
David Ellinghaus Kiel University

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