World's Best Scientists 2026 revealed!
Ramesh Raskar

Ramesh Raskar

D-Index & Metrics

Computer Science

D-Index
105
Citations
47378
World Ranking
285
National Ranking
156

Ramesh Raskar 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 Ramesh Raskar 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: 677 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Ramesh Raskar 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 Ramesh Raskar 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: 105 D-Index — 98th percentile

98% 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 Alfred P. Sloan Foundation

Overview

Ramesh Raskar is affiliated with MIT in the United States and has a significant record of research contributions primarily in the field of Computer Science. Their research output includes 161 publications, with a focus on various subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases, Information Systems, and Radiology, Nuclear Medicine and Imaging.

Their work extensively covers topics related to Privacy-Preserving Technologies in Data, Cryptography and Data Security, COVID-19 Digital Contact Tracing, Adversarial Robustness in Machine Learning, COVID-19 epidemiological studies, Advanced Optical Sensing Technologies, and Stochastic Gradient Optimization Techniques.

Ramesh Raskar has contributed to multiple research venues, frequently publishing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mayo Clinic Proceedings
  • Journal of Behavioral Data Science
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Significant recent papers authored or co-authored include:

  • Advances and Open Problems in Federated Learning, 2020, Foundations and Trends® in Machine Learning
  • FedML: A Research Library and Benchmark for Federated Machine Learning, 2020, arXiv (Cornell University)
  • On Unlimited Sampling and Reconstruction, 2020, IEEE Transactions on Signal Processing
  • Privacy in Deep Learning: A Survey, 2020, arXiv (Cornell University)
  • Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study, 2021, BMJ

Frequent co-authors collaborating with Ramesh Raskar include Praneeth Vepakomma, Ayush Chopra, Abhishek Singh, Sheshank Shankar, and Rohan Sukumaran. Their collaboration counts range from 14 to 36 joint publications.

Ramesh Raskar has also been recognized as a Fellow of the Alfred P. Sloan Foundation in 2009.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Spatial Augmented Reality: Merging Real and Virtual Worlds

    Oliver Bimber;Ramesh Raskar

  • Image-based visual hulls

    Wojciech Matusik;Chris Buehler;Ramesh Raskar;Steven J. Gortler

  • The office of the future: a unified approach to image-based modeling and spatially immersive displays

    Ramesh Raskar;Greg Welch;Matt Cutts;Adam Lake

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

    Ilke Demir;Krzysztof Koperski;David Lindenbaum;Guan Pang

  • Designing Neural Network Architectures using Reinforcement Learning

    Bowen Baker;Otkrist Gupta;Nikhil Naik;Ramesh Raskar

  • Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

    Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak

  • Recovering three-dimensional shape around a corner using ultrafast time-of-flight imaging.

    Andreas Velten;Thomas Willwacher;Otkrist Gupta;Ashok Veeraraghavan

  • Dappled photography: mask enhanced cameras for heterodyned light fields and coded aperture refocusing

    Ashok Veeraraghavan;Ramesh Raskar;Amit Agrawal;Ankit Mohan

  • Coded exposure photography: motion deblurring using fluttered shutter

    Ramesh Raskar;Amit Agrawal;Jack Tumblin

  • Fast separation of direct and global components of a scene using high frequency illumination

    Shree K. Nayar;Gurunandan Krishnan;Michael D. Grossberg;Ramesh Raskar

  • Shader Lamps: Animating Real Objects with Image-Based Illumination

    Ramesh Raskar;Greg Welch;Kok-Lim Low;Deepak Bandyopadhyay

  • Active Printed Materials for Complex Self-Evolving Deformations

    Dan Raviv;Wei Zhao;Carrie McKnelly;Athina Papadopoulou

  • Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting

    Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar

  • iLamps: geometrically aware and self-configuring projectors

    Ramesh Raskar;Jeroen van Baar;Paul Beardsley;Thomas Willwacher

  • Distributed learning of deep neural network over multiple agents

    Otkrist Gupta;Ramesh Raskar

  • Multi-projector displays using camera-based registration

    R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen

  • Deep Learning the City: Quantifying Urban Perception at a Global Scale

    Abhimanyu Dubey;Nikhil Naik;Devi Parikh;Ramesh Raskar

  • Streetscore -- Predicting the Perceived Safety of One Million Streetscapes

    Nikhil Naik;Jade Philipoom;Ramesh Raskar;César Hidalgo

  • FedML: A Research Library and Benchmark for Federated Machine Learning

    Chaoyang He;Songze Li;Jinhyun So;Mi Zhang

  • Split learning for health: Distributed deep learning without sharing raw patient data

    Praneeth Vepakomma;Otkrist Gupta;Tristan Swedish;Ramesh Raskar

Frequent Co-Authors

Gordon Wetzstein
Gordon Wetzstein Stanford University
Paul Beardsley
Paul Beardsley Weta Digital
Boxin Shi
Boxin Shi Peking University
Paul Henry Dietz
Paul Henry Dietz Misapplied Sciences, Inc.
Oliver Bimber
Oliver Bimber Johannes Kepler University of Linz
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Rogerio Feris
Rogerio Feris IBM (United States)
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Jingyi Yu
Jingyi Yu ShanghaiTech University

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