World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8306
World Ranking
6531
National Ranking
309

Tobias Friedrich 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 Friedrich 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: 332 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Tobias Friedrich 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 Friedrich 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Tobias Friedrich is affiliated with the Hasso Plattner Institute in Germany and specializes primarily in Earth and Planetary Sciences. Their research spans a range of subfields including Oceanography, Atmospheric Science, Ecology, Global and Planetary Change, and Computer Vision and Pattern Recognition. The scientific topics explored in their publications include Geology and Paleoclimatology Research, Marine and Coastal Ecosystems, Oceanographic and Atmospheric Processes, Pleistocene-Era Hominins and Archaeology, Geological Formations and Processes, Methane Hydrates and Related Phenomena, and Isotope Analysis in Ecology.

They have published extensively, with a notable presence in several research venues. Frequent publication sites include the Publishing Network for Geoscientific and Environmental Data (PANGAEA) under the Alfred Wegener Institute for Polar and Marine Research, the Journal of Geophysical Research Oceans, arXiv hosted by Cornell University, Nature Communications, and Nature Geoscience.

Recent papers authored or co-authored by Tobias Friedrich are as follows:

  • Stochastic models support rapid peopling of Late Pleistocene Sahul, 2021, Nature Communications
  • Drivers of river reactivation in North Africa during the last glacial cycle, 2021, Nature Geoscience
  • Timing and magnitude of Southern Ocean sea ice/carbon cycle feedbacks, 2020, Proceedings of the National Academy of Sciences
  • Enhanced Mid-depth Southward Transport in the Northeast Atlantic at the Last Glacial Maximum Despite a Weaker AMOC, 2020, Paleoceanography and Paleoclimatology
  • Strong Southern African Monsoon and weak Mozambique Channel throughflow during Heinrich events: Implication for Agulhas leakage, 2021, Earth and Planetary Science Letters

Tobias Friedrich frequently collaborates with several researchers, including Syee Weldeab, Ralph R Schneider, Nils Andersen, Dieter Garbe-Schönberg, and Brian Powell. Each of these collaborators has appeared repeatedly in their co-authorship records.

Best Publications

  • Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics:a multi-model analysis

    Fortunat Joos;Fortunat Joos;Raphael Roth;Raphael Roth;J. S. Fuglestvedt;G. P. Peters

  • Why rumors spread so quickly in social networks

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Approximating covering problems by randomized search heuristics using multi-objective models*

    Tobias Friedrich;Jun He;Nils Hebbinghaus;Frank Neumann

  • Escaping Local Optima Using Crossover With Emergent Diversity

    Duc-Cuong Dang;Tobias Friedrich;Timo Kotzing;Martin S. Krejca

  • Social Networks Spread Rumors in Sublogarithmic Time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Social networks spread rumors in sublogarithmic time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Approximating the Least Hypervolume Contributor: NP-Hard in General, But Fast in Practice

    Karl Bringmann;Tobias Friedrich

  • Do additional objectives make a problem harder

    Dimo Brockhoff;Tobias Friedrich;Nils Hebbinghaus;Christian Klein

  • Hindcasting the continuum of Dansgaard–Oeschger variability: mechanisms, patterns and timing

    L. Menviel;A. Timmermann;T. Friedrich;M. H. England

  • On the Effects of Adding Objectives to Plateau Functions

    D. Brockhoff;T. Friedrich;N. Hebbinghaus;C. Klein

  • Proceedings of the Genetic and Evolutionary Computation Conference 2016

    Tobias Friedrich;Frank Neumann;Andrew M. Sutton

  • Analysis of diversity-preserving mechanisms for global exploration*

    Tobias Friedrich;Pietro S. Oliveto;Dirk Sudholt;Carsten Witt

  • Analyzing Hypervolume Indicator Based Algorithms

    Dimo Brockhoff;Tobias Friedrich;Frank Neumann

  • An efficient algorithm for computing hypervolume contributions

    Karl Bringmann;Tobias Friedrich

  • Maximizing submodular functions under matroid constraints by evolutionary algorithms

    Tobias Friedrich;Frank Neumann

  • Neural network-based estimates of North Atlantic surface pCO2 from satellite data: A methodological study

    Tobias Friedrich;Andreas Oschlies

  • Approximating the volume of unions and intersections of high-dimensional geometric objects

    Karl Bringmann;Tobias Friedrich

  • Predicting the energy output of wind farms based on weather data: Important variables and their correlation

    Ekaterina Vladislavleva;Tobias Friedrich;Frank Neumann;Markus Wagner

  • Approximating the least hypervolume contributor: NP-hard in general, but fast in practice

    Karl Bringmann;Tobias Friedrich

  • Approximation-guided evolutionary multi-objective optimization

    Karl Bringmann;Tobias Friedrich;Frank Neumann;Markus Wagner

  • Quasirandom rumor spreading

    Benjamin Doerr;Tobias Friedrich;Thomas Sauerwald

  • Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion

    Tobias Friedrich;Frank Neumann;Andrew M. Sutton

  • Neural-network based estimates of North Atlantic surface pCO2 from satellite data - a methodological study

    Tobias Friedrich

Frequent Co-Authors

Axel Timmermann
Axel Timmermann Pusan National University
Frank Neumann
Frank Neumann University of Adelaide
Benjamin Doerr
Benjamin Doerr École Polytechnique
Markus Wagner
Markus Wagner Monash University
Laurie Menviel
Laurie Menviel University of New South Wales
Adele Bertini
Adele Bertini University of Florence
Leonardo Sagnotti
Leonardo Sagnotti National Institute of Geophysics and Volcanology
Odile Peyron
Odile Peyron University of Montpellier
Hendrik Vogel
Hendrik Vogel University of Bern
Nathalie Combourieu-Nebout
Nathalie Combourieu-Nebout French National Museum of Natural History

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