World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
85
Citations
25354
World Ranking
812
National Ranking
443

Maneesh Agrawala 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 Maneesh Agrawala 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: 271 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Maneesh Agrawala 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 Maneesh Agrawala 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: 85 D-Index — 94th percentile

94% 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

  • 2009 - Fellow of the MacArthur Foundation
  • 2008 - Hellman Fellow
  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

Maneesh Agrawala is affiliated with Stanford University in the United States. Their research spans areas primarily in computer science and engineering, focusing on several specialized subfields and topics.

The main fields of study for Agrawala include:

  • Computer Science
  • Engineering

Their research subfields of study encompass:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Computational Mechanics
  • Control and Systems Engineering

Agrawala's work covers the following main topics:

  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Video Analysis and Summarization
  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Human Motion and Animation
  • Human Pose and Action Recognition

Recent papers authored by or involving Agrawala include:

  • Adding Conditional Control to Text-to-Image Diffusion Models, 2023, published in arXiv (Cornell University)
  • Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Vid2Player: Controllable Video Sprites That Behave and Appear Like Professional Tennis Players, 2021, published in ACM Transactions on Graphics
  • Iterative Text-Based Editing of Talking-Heads Using Neural Retargeting, 2021, published in ACM Transactions on Graphics
  • Differentiable 3D CAD Programs for Bidirectional Editing, 2022, appeared in Computer Graphics Forum

Frequently collaborating with Agrawala are the following co-authors:

  • Lvmin Zhang
  • Kayvon Fatahalian
  • Ohad Fried
  • Ceyuan Yang
  • Gordon Wetzstein

The venues where Agrawala frequently publishes include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Computer Graphics Forum
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Institutional Research Information System (Università degli Studi di Trento)

Agrawala has been recognized with awards including:

  • Fellow of the MacArthur Foundation, 2009
  • Hellman Fellow, 2008
  • Fellow of Alfred P. Sloan Foundation, 2007

Best Publications

  • Digital photography with flash and no-flash image pairs

    Georg Petschnigg;Richard Szeliski;Maneesh Agrawala;Michael Cohen

  • Interactive digital photomontage

    Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker

  • Interactive video cutout

    Jue Wang;Pravin Bhat;R. Alex Colburn;Maneesh Agrawala

  • Rendering effective route maps: improving usability through generalization

    Maneesh Agrawala;Chris Stolte

  • Gaze-based interaction for semi-automatic photo cropping

    Anthony Santella;Maneesh Agrawala;Doug DeCarlo;David Salesin

  • Saliency in VR: How Do People Explore Virtual Environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

  • Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation

    J. Heer;J. Mackinlay;C. Stolte;M. Agrawala

  • Multiscale shape and detail enhancement from multi-light image collections

    Raanan Fattal;Maneesh Agrawala;Szymon Rusinkiewicz

  • Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations

    Jeffrey Heer;Nicholas Kong;Maneesh Agrawala

  • The two-user Responsive Workbench: support for collaboration through individual views of a shared space

    Maneesh Agrawala;Andrew C. Beers;Ian McDowall;Bernd Fröhlich

  • Interactive furniture layout using interior design guidelines

    Paul Merrell;Eric Schkufza;Zeyang Li;Maneesh Agrawala

  • Design Considerations for Collaborative Visual Analytics

    J. Heer;M. Agrawala

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Scented Widgets: Improving Navigation Cues with Embedded Visualizations

    W. Willett;J. Heer;M. Agrawala

  • Interactive 3D architectural modeling from unordered photo collections

    Sudipta N. Sinha;Drew Steedly;Richard Szeliski;Maneesh Agrawala

  • Designing effective step-by-step assembly instructions

    Maneesh Agrawala;Doantam Phan;Julie Heiser;John Haymaker

  • Hover widgets: using the tracking state to extend the capabilities of pen-operated devices

    Tovi Grossman;Ken Hinckley;Patrick Baudisch;Maneesh Agrawala

  • ReVision: automated classification, analysis and redesign of chart images

    Manolis Savva;Nicholas Kong;Arti Chhajta;Li Fei-Fei

  • Software Design Patterns for Information Visualization

    J. Heer;Maneesh Agrawala

  • Photographing long scenes with multi-viewpoint panoramas

    Aseem Agarwala;Maneesh Agrawala;Michael Cohen;David Salesin

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

  • A Framework for content-adaptive photo manipulation macros: Application to face, landscape, and global manipulations

    Floraine Berthouzoz;Wilmot Li;Mira Dontcheva;Maneesh Agrawala

  • Saliency in VR: How do people explore virtual environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

Frequent Co-Authors

David Salesin
David Salesin Google (United States)
Wilmot Li
Wilmot Li Adobe Systems (United States)
Björn Hartmann
Björn Hartmann University of California, Berkeley
Jeffrey Heer
Jeffrey Heer University of Washington
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Steven M. Drucker
Steven M. Drucker Microsoft (United States)
Ken Hinckley
Ken Hinckley Microsoft (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Brian Curless
Brian Curless University of Washington
Andrew D. Wilson
Andrew D. Wilson Microsoft (United States)

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