World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
22521
World Ranking
2542
National Ranking
1271

Zoran Popović 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 Zoran Popović 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Zoran Popović 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 Zoran Popović 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: 64 D-Index — 82nd percentile

82% 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

  • 2003 - Fellow of Alfred P. Sloan Foundation
  • 2002 - IEEE Fellow For contributions to the development of active antenna arrays and quasi-optical power combining techniques.

Overview

Zoran Popović is affiliated with the University of Washington in the United States. Their research activity spans primarily the field of Environmental Science, with a focus on Ecology, Animal Science and Zoology, Artificial Intelligence, Health, Toxicology and Mutagenesis, and Computer Networks and Communications.

The main topics covered in their research include Wildlife Ecology and Conservation, Ecology and biodiversity studies, Animal Ecology and Behavior Studies, Air Quality Monitoring and Forecasting, Air Quality and Health Impacts, Animal Behavior and Welfare Studies, and Bat Biology and Ecology Studies.

  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells, 2020, Cell
  • Exploring the Role of Local and Global Explanations in Recommender Systems, 2022, CHI Conference on Human Factors in Computing Systems Extended Abstracts
  • Assessment of Meteorological Effects and Ozone Variation in Urban Area, 2020, Ecological Chemistry and Engineering S
  • Ecological Risk of Toxic Metal Contaminationin Soil around Coal Mine and ThermalPower Plant, 2022, Polish Journal of Environmental Studies
  • The European Hare (Lepus europaeus) as a Biomonitor of Lead (Pb) and Cadmium (Cd) Occurrence in the Agro Biotope of Vojvodina, Serbia, 2022, Animals

Frequent co-authors in Zoran Popović's research include Vukan Lavadinović, Dejan Beuković, Predrag Ilić, Marko Vukadinović, and Miroslava Polovinski-Horvatović.

The scientist has published repeatedly in venues such as Contemporary Agriculture, Polish Journal of Environmental Studies, Cell, CHI Conference on Human Factors in Computing Systems Extended Abstracts, and Ecological Chemistry and Engineering S.

Among their recognized achievements, Zoran Popović was named a Fellow of the Alfred P. Sloan Foundation in 2003 and became an IEEE Fellow in 2002 for contributions to the development of active antenna arrays and quasi-optical power combining techniques.

Best Publications

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • Predicting protein structures with a multiplayer online game

    Seth Cooper;Firas Khatib;Adrien Treuille;Adrien Treuille;Janos Barbero

  • The space of human body shapes: reconstruction and parameterization from range scans

    Brett Allen;Brian Curless;Zoran Popović

  • Continuum crowds

    Adrien Treuille;Seth Cooper;Zoran Popović

  • Style-based inverse kinematics

    Keith Grochow;Steven L. Martin;Aaron Hertzmann;Zoran Popović

  • Motion warping

    Andrew Witkin;Zoran Popovic

  • Algorithm discovery by protein folding game players

    Firas Khatib;Seth Cooper;Michael D. Tyka;Kefan Xu

  • Crystal structure of a monomeric retroviral protease solved by protein folding game players.

    Firas Khatib;Frank DiMaio;Seth Cooper;Maciej Kazmierczyk

  • Physically based motion transformation

    Zoran Popović;Andrew Witkin

  • Discovery of complex behaviors through contact-invariant optimization

    Igor Mordatch;Emanuel Todorov;Zoran Popović

  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

    Nathan W. Gouwens;Staci A. Sorensen;Fahimeh Baftizadeh;Agata Budzillo

  • Articulated body deformation from range scan data

    Brett Allen;Brian Curless;Zoran Popović

  • Learning physics-based motion style with nonlinear inverse optimization

    C. Karen Liu;Aaron Hertzmann;Zoran Popović

  • Fluid control using the adjoint method

    Antoine McNamara;Adrien Treuille;Zoran Popović;Jos Stam

  • Increased Diels-Alderase activity through backbone remodeling guided by Foldit players

    Christopher B Eiben;Justin B Siegel;Jacob B Bale;Seth Cooper

  • Keyframe control of smoke simulations

    Adrien Treuille;Antoine McNamara;Zoran Popović;Jos Stam

  • Nonlinear Inverse Reinforcement Learning with Gaussian Processes

    Sergey Levine;Zoran Popovic;Vladlen Koltun

  • Interactive skeleton-driven dynamic deformations

    Steve Capell;Seth Green;Brian Curless;Tom Duchamp

  • Synthesis of complex dynamic character motion from simple animations

    C. Karen Liu;Zoran Popović

  • Near-optimal character animation with continuous control

    Adrien Treuille;Yongjoon Lee;Zoran Popović

Frequent Co-Authors

David Baker
David Baker University of Washington
Brian Curless
Brian Curless University of Washington
Emma Brunskill
Emma Brunskill Stanford University
Jovan Popović
Jovan Popović Adobe Systems (United States)
C. Karen Liu
C. Karen Liu Stanford University
Sumit Gulwani
Sumit Gulwani Microsoft (United States)
Sergey Levine
Sergey Levine University of California, Berkeley
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Vladlen Koltun
Vladlen Koltun Apple (United States)
Andrew Witkin
Andrew Witkin Carnegie Mellon University

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