World's Best Scientists 2026 revealed!
Oliver Schütze

Oliver Schütze

D-Index & Metrics

Computer Science

D-Index
30
Citations
3636
World Ranking
14126
National Ranking
20

Oliver Schütze 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 Oliver Schütze 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Oliver Schütze 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 Oliver Schütze 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Best Publications

  • Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization

    O. Schutze;X. Esquivel;A. Lara;C. A. C. Coello

  • HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms

    A. Lara;G. Sanchez;C.A. Coello Coello;O. Schutze

  • On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem

    O. Schutze;A. Lara;C. A. C. Coello

  • Covering pareto sets by multilevel evolutionary subdivision techniques

    Oliver Schütze;Sanaz Mostaghim;Michael Dellnitz;Jürgen Teich

  • Computing the set of Epsilon-efficient solutions in multiobjective space mission design

    Oliver Schütze;Massimiliano Vasile;Carlos A. Coello Coello

  • On Continuation Methods for the Numerical Treatment of Multi-Objective Optimization Problems

    Oliver Schütze;Alessandro Dell'Aere;Michael Dellnitz

  • Part E: Evolutionary Computation

    Frank Neumann;Carsten Witt;Peter Merz;Carlos A. Coello Coello

  • Simple cell mapping method for multi-objective optimal feedback control design

    Carlos Hernández;Yousef Naranjani;Yousef Sardahi;Wei Liang

  • Convergence of stochastic search algorithms to finite size pareto set approximations

    Oliver Schütze;Marco Laumanns;Carlos A. Coello Coello;Michael Dellnitz

  • Designing optimal low-thrust gravity-assist trajectories using space pruning and a multi-objective approach

    Oliver Schütze;Massimiliano Vasile;Oliver Junge;Michael Dellnitz

  • Computing gap free pareto front approximations with stochastic search algorithms

    Oliver Schütze;Marco Laumanns;Emilia Tantar;Carlos A. Coello Coello

  • Metaheuristics to solve grouping problems: A review and a case study

    Unknown

  • Hybridizing evolutionary strategies with continuation methods for solving multi-objective problems

    Oliver Schütze;Carlos A. Coello Coello;Sanaz Mostaghim;El-Ghazali Talbi

  • Pareto Tracer: a predictor–corrector method for multi-objective optimization problems

    Unknown

  • Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results

    Günter Rudolph;Oliver Schütze;Christian Grimme;Christian Domínguez-Medina

  • Approximating the Knee of an MOP with Stochastic Search Algorithms

    Oliver Schütze;Marco Laumanns;Carlos A. Coello Coello

  • A benchmark for equality constrained multi-objective optimization

    Unknown

  • The directed search method for multi-objective memetic algorithms

    Oliver Schütze;Adanay Martín;Adriana Lara;Sergio Alvarado

  • The Set-Based Hypervolume Newton Method for Bi-Objective Optimization

    Victor Adrian Sosa Hernandez;Oliver Schutze;Hao Wang;Andre Deutz

  • Multi-objective optimal design of feedback controls for dynamical systems with hybrid simple cell mapping algorithm

    Fu-Rui Xiong;Zhi-Chang Qin;Yang Xue;Oliver Schütze

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:

Recently Published Articles