World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
19824
World Ranking
4445
National Ranking
5

Reinhard Schneider 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 Reinhard Schneider 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: 197 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Reinhard Schneider 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 Reinhard Schneider 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Reinhard Schneider is affiliated with the University of Luxembourg in Luxembourg. Their research spans multiple disciplines within biochemistry, genetics, and molecular biology, with significant contributions to medicine as well.

The scientist's primary research areas include:

  • Bioinformatics and Genomic Networks
  • Microbial Metabolic Engineering and Bioproduction
  • Computational Drug Discovery Methods
  • Gene Regulatory Network Analysis
  • Cell Image Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Scientific Computing and Data Management

Within subfields, their work is concentrated mainly in molecular biology but also extends to computational theory and mathematics, biophysics, pharmacology, and information systems and management.

Significant recent papers include:

  • PredictProtein - Predicting Protein Structure and Function for 29 Years (2021, Nucleic Acids Research)
  • COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms (2020, Scientific Data)
  • A 6-month randomized, double-blind, placebo-controlled trial of weekly exenatide in adolescents with obesity (2020, Pediatric Obesity)
  • Long Non-coding RNAs: Mechanisms, Experimental, and Computational Approaches in Identification, Characterization, and Their Biomarker Potential in Cancer (2021, Frontiers in Genetics)
  • Longitudinal multi-omics analysis identifies early blood-based predictors of anti-TNF therapy response in inflammatory bowel disease (2022, Genome Medicine)

Some of their frequent coauthors include:

  • Venkata Satagopam
  • Marek Ostaszewski
  • Alexander Mazein
  • Ahmed Abdelmonem Hemedan
  • Christophe Trefois

Reinhard Schneider has published notably in a range of academic venues, especially:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Data
  • Faculty of 1000 Research Ltd
  • Frontiers in Bioinformatics
  • Frontiers in Immunology

Among their scholarly contributions is a book published with oekom verlag titled Die Ablenkungsfalle; Die versteckten Tricks der Ökologie-Bremser. Wie wir unsere Umwelt nicht länger aufs Spiel setzen (2023).

Best Publications

  • Database of homology-derived protein structures and the structural meaning of sequence alignment.

    Chris Sander;Reinhard Schneider

  • A series of PDB related databases for everyday needs.

    Robbie P. Joosten;Tim A.H. te Beek;Elmar Krieger;Maarten L. Hekkelman

  • Selection of representative protein data sets

    Uwe Hobohm;Michael Scharf;Reinhard Schneider;Chris Sander

  • Correlated mutations and residue contacts in proteins.

    Ulrike Göbel;Chris Sander;Reinhard Schneider;Alfonso Valencia

  • PHD - AN AUTOMATIC MAIL SERVER FOR PROTEIN SECONDARY STRUCTURE PREDICTION

    Burkhard Rost;Chris Sander;Reinhard Schneider

  • Using graph theory to analyze biological networks

    Georgios A Pavlopoulos;Georgios A Pavlopoulos;Maria Secrier;Charalampos N Moschopoulos;Charalampos N Moschopoulos;Theodoros G Soldatos

  • Visualization of omics data for systems biology

    Nils Gehlenborg;Seán I O'Donoghue;Nitin S Baliga;Alexander Goesmann

  • SuperTarget and Matador: resources for exploring drug-target relationships

    Stefan Günther;Michael Kuhn;Mathias Dunkel;Monica Campillos

  • COMPARTMENTS: unification and visualization of protein subcellular localization evidence

    Janos X. Binder;Sune Pletscher-Frankild;Kalliopi Tsafou;Christian Stolte

  • PredictProtein—an open resource for online prediction of protein structural and functional features

    Guy Yachdav;Edda Kloppmann;Laszlo Kajan;Maximilian Hecht

  • Redefining the goals of protein secondary structure prediction.

    Burkhard Rost;Chris Sander;Reinhard Schneider

  • The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease.

    Alberto Noronha;Jennifer Modamio;Yohan Jarosz;Elisabeth Guerard

  • PROTEIN FOLD RECOGNITION BY PREDICTION-BASED THREADING

    Burkhard Rost;Reinhard Schneider;Chris Sander

  • EnrichNet: network-based gene set enrichment analysis

    Enrico Glaab;Anaïs Baudot;Natalio Krasnogor;Reinhard Schneider

  • Making sense of big data in health research: Towards an EU action plan

    Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze

  • The HSSP database of protein structure—sequence alignments and family profiles

    Chris Dodge;Reinhard Schneider;Chris Sander

  • Biomarkers of postoperative delirium and cognitive dysfunction.

    Ganna Androsova;Roland Krause;Georg Winterer;Reinhard Schneider

  • A survey of visualization tools for biological network analysis

    Georgios A Pavlopoulos;Anna-Lynn Wegener;Reinhard Schneider

  • PredictProtein - Predicting Protein Structure and Function for 29 Years

    Michael Bernhofer;Christian Dallago;Tim Karl;Venkata Satagopam

  • The HSSP Database of Protein Structure-Sequence Alignments

    Reinhard Schneider;Chris Sander

Frequent Co-Authors

Chris Sander
Chris Sander Harvard University
Georgios A. Pavlopoulos
Georgios A. Pavlopoulos Alexander Fleming Biomedical Sciences Research Center
Rudi Balling
Rudi Balling University of Bonn
Burkhard Rost
Burkhard Rost Technical University of Munich
Samarjit Chakraborty
Samarjit Chakraborty University of North Carolina at Chapel Hill
Alfonso Valencia
Alfonso Valencia Barcelona Supercomputing Center
Christos A. Ouzounis
Christos A. Ouzounis Aristotle University of Thessaloniki
Peer Bork
Peer Bork European Molecular Biology Laboratory
Ronan M. T. Fleming
Ronan M. T. Fleming Leiden University
Christoph Bock
Christoph Bock Austrian Academy of Sciences

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