World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
8659
World Ranking
8298
National Ranking
3559

Steven G. Parker 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 Steven G. Parker 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: 132 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.

Steven G. Parker 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 Steven G. Parker 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Steven G. Parker is affiliated with Nvidia in the United States and works primarily within the fields of Computer Science and Health Professions. Their research spans multiple subfields, including Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Demography, and General Health Professions. This multidisciplinary focus informs a variety of topics ranging from technological methods to public health issues.

Their main research topics cover:

  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Elder Abuse and Neglect
  • Public Health Policies and Education
  • Disaster Response and Management

Recent publications by Parker include the following papers:

  • Data Parallel Path Tracing with Object Hierarchies, 2022, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Standardising multi-agency safeguarding hubs (MASH): building a framework to effectively identify and manage risk, 2023, Emerald Open Research

These works reflect a combination of computer graphics techniques and public health system frameworks. The 2022 paper focuses on computational techniques in rendering and visualization, while the 2023 publication addresses safeguarding mechanisms and risk management in health professions.

Parker has collaborated frequently with several co-authors, including:

  • Ingo Wald
  • Sarah Shorrock
  • Gareth Addidle
  • Mark Dimelow
  • Joyce Liddle

Their publications have appeared in venues such as:

  • Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Emerald Open Research

Steven G. Parker's work integrates computer science methodologies and health-related research, bridging technical innovation with societal and public health issues. This approach encompasses both theoretical and applied perspectives, addressing challenges in visualization, imaging, and protective health services.

Best Publications

  • OptiX: a general purpose ray tracing engine

    Steven G. Parker;James Bigler;Andreas Dietrich;Heiko Friedrich

  • Toward a common component architecture for high-performance scientific computing

    R. Armstrong;A. Geist;K. Keahey;S. Kohn

  • Interactive ray tracing for volume visualization

    Steven Parker;Michael Parker;Yarden Livnat;Peter-Pike Sloan

  • Interactive ray tracing for isosurface rendering

    Steven Parker;Peter Shirley;Yarden Livnat;Charles Hansen

  • SCIRun: A Scientific Programming Environment for Computational Steering

    Steven G. Parker;Christopher R. Johnson

  • Interactive ray tracing

    Steven Parker;William Martin;Peter-Pike J. Sloan;Peter Shirley

  • State of the Art in Ray Tracing Animated Scenes

    Ingo Wald;Ingo Wald;William R. Mark;William R. Mark;Johannes Günther;Solomon Boulos;Solomon Boulos

  • A Component Architecture for High-Performance Scientific Computing

    Benjamin A. Allan;Robert Armstrong;David E. Bernholdt;Felipe Bertrand

  • Ray tracing animated scenes using coherent grid traversal

    Ingo Wald;Thiago Ize;Andrew Kensler;Aaron Knoll

  • Interactive ray tracing for volume visualization

    S. Parker;M. Parker;Y. Livnat;P.-P. Sloan

  • Interactive rendering using the render cache

    Bruce Walter;George Drettakis;Steven Parker

  • The SCIRun computational steering software system

    Steven G. Parker;David W. Weinstein;Christopher R. Johnson

  • Uintah: a massively parallel problem solving environment

    J. Davison de St. Germain;J. McCorquodale;S.G. Parker;C.R. Johnson

  • A component-based architecture for parallel multi-physics PDE simulation

    Steven G. Parker

  • Design for Parallel Interactive Ray Tracing Systems

    J. Bigler;A. Stephens;S.G. Parker

  • Interactive simulation and visualization

    C. Johnson;S.G. Parker;C. Hansen;G.L. Kindlmann

  • Interactive ray tracing

    Steven Parker;William Martin;Peter-Pike J. Sloan;Peter Shirley

  • Computational steering. Software systems and strategies

    S.G. Parker;C.R. Johnson;D. Beazley

  • SCIRun2: a CCA framework for high performance computing

    Keming Zhang;K. Damevski;V. Venkatachalapathy;S.G. Parker

  • The CCA component model for high-performance scientific computing

    Rob Armstrong;Gary Kumfert;Lois Curfman McInnes;Steven Parker

Frequent Co-Authors

Chris R. Johnson
Chris R. Johnson University of Utah
Charles Hansen
Charles Hansen University of Utah
Ingo Wald
Ingo Wald Nvidia (United States)
Peter Shirley
Peter Shirley Nvidia (United States)
Cláudio T. Silva
Cláudio T. Silva New York University
Bernd Hamann
Bernd Hamann University of California, Davis
Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Valerio Pascucci
Valerio Pascucci University of Utah
William R. Mark
William R. Mark Google (United States)
Peter Lindstrom
Peter Lindstrom Lawrence Livermore National Laboratory

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