World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
103591
World Ranking
2376
National Ranking
100

Alexandros Stamatakis 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 Alexandros Stamatakis 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Alexandros Stamatakis 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 Alexandros Stamatakis 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: 65 D-Index — 83rd percentile

83% 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

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Alexandros Stamatakis is affiliated with the Heidelberg Institute for Theoretical Studies in Germany. Their research primarily falls within Biochemistry, Genetics, and Molecular Biology, with a focus on Molecular Biology, Genetics, Paleontology, Ecology, and Ecological Modeling as subfields.

Their work encompasses a range of topics including:

  • Genomics and Phylogenetic Studies
  • Genetic diversity and population structure
  • Evolution and Paleontology Studies
  • Microbial Community Ecology and Physiology
  • Species Distribution and Climate Change
  • Forensic and Genetic Research
  • Gene expression and cancer classification

Alexandros Stamatakis has contributed to multiple publication venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Molecular Biology and Evolution
  • arXiv (Cornell University)
  • Bioinformatics Advances

Some recent publications featuring Alexandros Stamatakis or closely connected research include:

  • "Eleven grand challenges in single-cell data science," 2020, Genome biology
  • "Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data," 2020, Bioinformatics
  • "Complexity of avian evolution revealed by family-level genomes," 2024, Nature
  • "Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult," 2020, Molecular Biology and Evolution
  • "GeneRax: A Tool for Species-Tree-Aware Maximum Likelihood-Based Gene Family Tree Inference under Gene Duplication, Transfer, and Loss," 2020, Molecular Biology and Evolution

Frequent co-authors collaborating with Alexandros Stamatakis include:

  • Alexey M. Kozlov
  • Benoît Morel
  • Ben Bettisworth
  • Julia Haag
  • Dimitri Höhler

Best Publications

  • RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

    Alexandros Stamatakis

  • RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

    Alexandros Stamatakis

  • A Rapid Bootstrap Algorithm for the RAxML Web Servers

    Alexandros Stamatakis;Paul Hoover;Jacques Rougemont

  • ARB: a software environment for sequence data

    Wolfgang Ludwig;Oliver Strunk;Ralf Westram;Lothar Richter

  • PEAR: a fast and accurate Illumina Paired-End reAd mergeR

    Jiajie Zhang;Kassian Kobert;Tomasÿ Flouri;Alexandros Stamatakis

  • RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference.

    Alexey M Kozlov;Diego Darriba;Tomáš Flouri;Benoit Morel

  • A general species delimitation method with applications to phylogenetic placements

    Jiajie Zhang;Paschalia Kapli;Pavlos Pavlidis;Alexandros Stamatakis

  • Phylogenomics resolves the timing and pattern of insect evolution

    Bernhard Misof;Shanlin Liu;Karen Meusemann;Ralph S. Peters

  • ModelTest-NG: a new and scalable tool for the selection of DNA and protein evolutionary models

    Diego Darriba;David Posada;Alexey M Kozlov;Alexandros Stamatakis;Alexandros Stamatakis

  • RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees

    A. Stamatakis;T. Ludwig;H. Meier

  • Eleven grand challenges in single-cell data science

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

  • How many bootstrap replicates are necessary

    Nicholas D Pattengale;Masoud Alipour;Olaf R P Bininda-Emonds;Bernard M E Moret

  • Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlo

    Paschalia Kapli;Sarah Lutteropp;Sarah Lutteropp;Jiajie Zhang;Kassian Kobert

  • Selecting optimal partitioning schemes for phylogenomic datasets

    Robert Lanfear;Robert Lanfear;Brett Calcott;David Kainer;Christoph Mayer

  • EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences.

    Pierre Barbera;Alexey M Kozlov;Lucas Czech;Benoit Morel

  • Metagenomic species profiling using universal phylogenetic marker genes

    Shinichi Sunagawa;Daniel R Mende;Georg Zeller;Fernando Izquierdo-Carrasco

  • Performance, accuracy, and Web server for evolutionary placement of short sequence reads under maximum likelihood.

    Simon A. Berger;Denis Krompass;Alexandros Stamatakis

  • The iPlant Collaborative: Cyberinfrastructure for Plant Biology.

    Stephen A Goff;Matthew Vaughn;Sheldon McKay;Eric Lyons

  • SweeD: Likelihood-Based Detection of Selective Sweeps in Thousands of Genomes

    Pavlos Pavlidis;Daniel Živković;Alexandros Stamatakis;Nikolaos Alachiotis

  • ExaBayes: Massively Parallel Bayesian Tree Inference for the Whole-Genome Era

    Andre J. Aberer;Kassian Kobert;Alexandros Stamatakis

Frequent Co-Authors

Karen Meusemann
Karen Meusemann University of Freiburg
Robert Lanfear
Robert Lanfear Australian National University
David Bass
David Bass Natural History Museum
Bernhard Misof
Bernhard Misof Universität Hamburg
Arndt von Haeseler
Arndt von Haeseler University of Vienna
Antonis Rokas
Antonis Rokas Vanderbilt University
Stephen A. Smith
Stephen A. Smith University of Michigan–Ann Arbor
Oliver Niehuis
Oliver Niehuis University of Freiburg
John C. Marioni
John C. Marioni European Bioinformatics Institute
Frank Oliver Glöckner
Frank Oliver Glöckner Jacobs University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering studying Computer Science online in the USA? There are diverse pathways and degrees that cater to different needs and backgrounds. For those concerned about their academic history, several college with low gpa options offer flexible admission standards while maintaining educational quality. This opens the door for more students to pursue a tech education.

If you're looking for rapid career advancement, enrolling in an accelerated computer science degree can help you complete your studies much faster than traditional routes. These programs are ideal for motivated learners eager to join the workforce quickly.

A Computer Science background also pairs well with other fields, expanding your career possibilities. For example, combining your expertise with other disciplines can lead to unique roles, such as jobs with elementary education and environmental science degree.

Additionally, if sustainability or applied sciences interest you, there are environmental engineering schools online offering affordable degrees. These innovative hybrid programs help diversify your skill set and expand potential career pathways in a fast-moving job market.

Best Scientists Citing Alexandros Stamatakis

Trending Scientists