World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7077
World Ranking
7645
National Ranking
3312

Felix Heide 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 Felix Heide 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Felix Heide 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 Felix Heide 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Felix Heide is a researcher affiliated with Princeton University in the United States. Their work spans multiple fields and subfields within computer science and engineering, with a strong focus on vision and imaging technologies.

Their primary fields of study include:

  • Computer Science
  • Engineering

Their subfields of specialization cover:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Instrumentation
  • Artificial Intelligence
  • Biomedical Engineering

Felix Heide's research topics engage with various advanced imaging and sensing technologies and processing techniques. The main topics include:

  • Advanced Vision and Imaging
  • Advanced Optical Sensing Technologies
  • Optical measurement and interference techniques
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Advanced Optical Imaging Technologies
  • Image Processing Techniques and Applications

Their recent scholarly contributions include several papers published in reputable venues:

  • Roadmap for Optical Metasurfaces, 2024, ACS Photonics
  • Spiking Transformers for Event-based Single Object Tracking, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • LiDAR Snowfall Simulation for Robust 3D Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging, 2022, Scientific Reports
  • Learned hardware-in-the-loop phase retrieval for holographic near-eye displays, 2020, ACM Transactions on Graphics

Frequent coauthors who have collaborated with Felix Heide include:

  • Mario Bijelic
  • Seung-Hwan Baek
  • Ethan Tseng
  • Praneeth Chakravarthula
  • Arka Majumdar

The researcher has published extensively in several venues, with multiple publications predominating in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Nature Communications
  • Optics Express

Best Publications

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner

  • End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

    Vincent Sitzmann;Steven Diamond;Yifan Peng;Xiong Dun

  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

    Mario Bijelic;Tobias Gruber;Fahim Mannan;Florian Kraus

  • FlexISP: a flexible camera image processing framework

    Felix Heide;Markus Steinberger;Yun-Ta Tsai;Mushfiqur Rouf

  • Fast and flexible convolutional sparse coding

    Felix Heide;Wolfgang Heidrich;Gordon Wetzstein

  • High-quality computational imaging through simple lenses

    Felix Heide;Mushfiqur Rouf;Matthias B. Hullin;Bjorn Labitzke

  • Low-budget transient imaging using photonic mixer devices

    Felix Heide;Matthias B. Hullin;James Gregson;Wolfgang Heidrich

  • Spiking Transformers for Event-based Single Object Tracking

    Unknown

  • Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors

    Felix Heide;Lei Xiao;Wolfgang Heidrich;Matthias B. Hullin

  • Wirtinger holography for near-eye displays

    Praneeth Chakravarthula;Yifan Peng;Joel Kollin;Henry Fuchs

  • Neural nano-optics for high-quality thin lens imaging.

    Ethan Tseng;Shane Colburn;James Whitehead;Luocheng Huang

  • Unrolled Optimization with Deep Priors

    Steven Diamond;Vincent Sitzmann;Felix Heide;Gordon Wetzstein

  • LiDAR Snowfall Simulation for Robust 3D Object Detection

    Unknown

  • Neural Scene Graphs for Dynamic Scenes

    Julian Ost;Fahim Mannan;Nils Thuerey;Julian Knodt

  • Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging

    Christopher A. Metzler;Felix Heide;Prasana Rangarajan;Muralidhar Madabhushi Balaji

  • CALTag: High Precision Fiducial Markers for Camera Calibration

    Bradley Atcheson;Felix Heide;Wolfgang Heidrich

  • Learned large field-of-view imaging with thin-plate optics

    Yifan Peng;Qilin Sun;Xiong Dun;Gordon Wetzstein

  • Imaging in scattering media using correlation image sensors and sparse convolutional coding

    Felix Heide;Lei Xiao;Andreas Kolb;Matthias B. Hullin

  • Temporal frequency probing for 5D transient analysis of global light transport

    Matthew O'Toole;Felix Heide;Lei Xiao;Matthias B. Hullin

  • A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging

    Unknown

  • Non-line-of-sight Imaging with Partial Occluders and Surface Normals

    Felix Heide;Matthew O’Toole;Kai Zang;David B. Lindell

  • Reconstructing Transient Images from Single-Photon Sensors

    Matthew O'Toole;Felix Heide;David B. Lindell;Kai Zang

  • Learned hardware-in-the-loop phase retrieval for holographic near-eye displays

    Praneeth Chakravarthula;Ethan Tseng;Tarun Srivastava;Henry Fuchs

  • Convolutional Sparse Coding for High Dynamic Range Imaging

    Ana Serrano;Felix Heide;Diego Gutierrez;Gordon Wetzstein

  • Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

    Nicolas Scheiner;Florian Kraus;Fangyin Wei;Buu Phan

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias Nießner

Frequent Co-Authors

Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Gordon Wetzstein
Gordon Wetzstein Stanford University
Klaus Dietmayer
Klaus Dietmayer University of Ulm
Jan Kautz
Jan Kautz Nvidia (United States)
Stephen Boyd
Stephen Boyd Stanford University
David Luebke
David Luebke Nvidia (United States)
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Andreas Kolb
Andreas Kolb University of Siegen

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