World's Best Scientists 2026 revealed!
Pratul P. Srinivasan

Pratul P. Srinivasan

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
38
Citations
18546
World Ranking
710
National Ranking
111

Computer Science

D-Index
38
Citations
24180
World Ranking
9927
National Ranking
4171

Pratul P. Srinivasan 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 Pratul P. Srinivasan 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: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Pratul P. Srinivasan 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 Pratul P. Srinivasan 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: 38 D-Index — 30th percentile

30% 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

  • 2025 - Research.com Rising Stars Award

Overview

Pratul P. Srinivasan is a researcher affiliated with Google in the United States. Their work is primarily situated in the fields of Computer Science and Engineering, with a notable focus on Computer Vision and Pattern Recognition, as well as Computer Graphics and Computer-Aided Design.

Their recent publications reflect contributions to various aspects of neural rendering and imaging techniques. Key papers include:

  • NeRF, 2021, Communications of the ACM
  • Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, 2020, arXiv (Cornell University)
  • Block-NeRF: Scalable Large Scene Neural View Synthesis, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, 2020, arXiv (Cornell University)

They have coauthored frequently with several researchers in their field, including:

  • Jonathan T. Barron
  • Ben Mildenhall
  • Dor Verbin
  • Peter Hedman
  • Matthew Tancik

Their publications have appeared in prominent venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Srinivasan's research spans several subfields of study, notably:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Astronomy and Astrophysics
  • Environmental Engineering

The main topics of their work include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Image Processing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Astrophysical Phenomena and Observations
  • Pulsars and Gravitational Waves Research

Best Publications

  • NeRF

    Unknown

  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Ben Mildenhall;Pratul P. Srinivasan;Matthew Tancik;Jonathan T. Barron

  • Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

    Jonathan T. Barron;Ben Mildenhall;Dor Verbin;Pratul P. Srinivasan

  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

    Matthew Tancik;Pratul P. Srinivasan;Ben Mildenhall;Sara Fridovich-Keil

  • Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

    Matthew Tancik;Pratul P. Srinivasan;Ben Mildenhall;Sara Fridovich-Keil

  • Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields

    Jonathan T. Barron;Ben Mildenhall;Matthew Tancik;Peter Hedman

  • Local light field fusion: practical view synthesis with prescriptive sampling guidelines

    Ben Mildenhall;Pratul P. Srinivasan;Rodrigo Ortiz-Cayon;Nima Khademi Kalantari

  • Block-NeRF: Scalable Large Scene Neural View Synthesis

    Unknown

  • Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields

    Unknown

  • IBRNet: Learning Multi-View Image-Based Rendering

    Qianqian Wang;Zhicheng Wang;Kyle Genova;Pratul Srinivasan

  • HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video

    Unknown

  • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

    Ben Mildenhall;Pratul P. Srinivasan;Matthew Tancik;Jonathan T. Barron

  • Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images

    Pratul P. Srinivasan;Leo A. Kim;Priyatham S. Mettu;Scott W. Cousins

  • NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images

    Unknown

  • Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

    Unknown

  • NeRFactor

    Unknown

  • NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis

    Pratul P. Srinivasan;Boyang Deng;Xiuming Zhang;Matthew Tancik

  • Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields

    Unknown

  • Pushing the Boundaries of View Extrapolation With Multiplane Images

    Pratul P. Srinivasan;Richard Tucker;Jonathan T. Barron;Ravi Ramamoorthi

  • Advances in Neural Rendering

    Ayush Tewari;Justus Thies;Ben Mildenhall;Pratul Srinivasan

  • Learning to Synthesize a 4D RGBD Light Field from a Single Image

    Pratul P. Srinivasan;Tongzhou Wang;Ashwin Sreelal;Ravi Ramamoorthi

  • Learned Initializations for Optimizing Coordinate-Based Neural Representations

    Matthew Tancik;Ben Mildenhall;Terrance Wang;Divi Schmidt

  • Automatic segmentation of up to ten layer boundaries in SD-OCT images of the mouse retina with and without missing layers due to pathology

    Pratul P. Srinivasan;Stephanie J. Heflin;Joseph A. Izatt;Vadim Y. Arshavsky

  • Depth from shading, defocus, and correspondence using light-field angular coherence

    Michael W. Tao;Pratul P. Srinivasan;Jitendra Malik;Szymon Rusinkiewicz

  • Neural Reflectance Fields for Appearance Acquisition

    Sai Bi;Zexiang Xu;Pratul P. Srinivasan;Ben Mildenhall

  • Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

    Pratul P. Srinivasan;Ben Mildenhall;Matthew Tancik;Jonathan T. Barron

  • Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence

    Michael W. Tao;Pratul P. Srinivasan;Sunil Hadap;Szymon Rusinkiewicz

  • Fully automatic software for retinal thickness in eyes with diabetic macular edema from images acquired by cirrus and spectralis systems.

    Joo Yong Lee;Stephanie J. Chiu;Pratul P. Srinivasan;Joseph A. Izatt

  • Advances in neural rendering

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

  • Aperture Supervision for Monocular Depth Estimation

    Pratul P. Srinivasan;Rahul Garg;Neal Wadhwa;Ren Ng

Frequent Co-Authors

Jonathan T. Barron
Jonathan T. Barron Google (United States)
Ren Ng
Ren Ng University of California, Berkeley
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Noah Snavely
Noah Snavely Cornell University
Sina Farsiu
Sina Farsiu Duke University
Joseph A. Izatt
Joseph A. Izatt Duke University
Paul Debevec
Paul Debevec Google (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Thomas Funkhouser
Thomas Funkhouser Google (United States)

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