World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
27470
World Ranking
1073
National Ranking
577

Kostas Daniilidis 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 Kostas Daniilidis 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Kostas Daniilidis 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 Kostas Daniilidis 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: 80 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Kostas Daniilidis is affiliated with the University of Pennsylvania in the United States. Their research spans the fields of Computer Science and Engineering, with significant contributions to specialized subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computational Mechanics, and Electrical and Electronic Engineering.

The scientist's work encompasses several main topics characterized by a focus on vision technologies, robotics, and computational methods. These topics include:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Human Pose and Action Recognition
  • 3D Shape Modeling and Analysis
  • Advanced Memory and Neural Computing
  • Robotic Path Planning Algorithms
  • Computer Graphics and Visualization Techniques

Kostas Daniilidis has published extensively, with frequent appearances in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, Field Robotics, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Notable recent papers include:

  • "Event-based Vision: A Survey" (2020), Zurich Open Repository and Archive (University of Zurich)
  • "Planning to Explore via Self-Supervised World Models" (2020), arXiv (Cornell University)
  • "Uncertainty-driven Planner for Exploration and Navigation" (2022), 2022 International Conference on Robotics and Automation (ICRA)
  • "CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Simple and Effective VAE Training with Calibrated Decoders" (2020), arXiv (Cornell University)

Their collaborative network includes frequent coauthors such as Karl Schmeckpeper, Jiahui Lei, Ziyun Wang, Yufu Wang, and Georgios Pavlakos. These partnerships highlight a sustained research activity with several contributors involved in diverse topics related to robotics, vision, and machine learning.

Best Publications

  • Event-based Vision: A Survey

    Guillermo Gallego;Tobi Delbruck;Garrick Michael Orchard;Chiara Bartolozzi

  • Model-based object tracking in monocular image sequences of road traffic scenes

    D. Koller;K. Daniilidis;H. H. Nagel

  • Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose

    Georgios Pavlakos;Xiaowei Zhou;Konstantinos G. Derpanis;Kostas Daniilidis

  • Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop

    Nikos Kolotouros;Georgios Pavlakos;Michael Black;Kostas Daniilidis

  • Learning to Estimate 3D Human Pose and Shape from a Single Color Image

    Georgios Pavlakos;Luyang Zhu;Xiaowei Zhou;Kostas Daniilidis

  • A Unifying Theory for Central Panoramic Systems and Practical Applications

    Unknown

  • Catadioptric Projective Geometry

    Christopher Geyer;Kostas Daniilidis

  • Linear Pose Estimation from Points or Lines

    Unknown

  • Convolutional Mesh Regression for Single-Image Human Shape Reconstruction

    Nikos Kolotouros;Georgios Pavlakos;Kostas Daniilidis

  • Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion

    Alex Zihao Zhu;Liangzhe Yuan;Kenneth Chaney;Kostas Daniilidis

  • Probabilistic data association for semantic SLAM

    Sean L. Bowman;Nikolay Atanasov;Kostas Daniilidis;George J. Pappas

  • Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

    Xiaowei Zhou;Menglong Zhu;Spyridon Leonardos;Konstantinos G. Derpanis

  • Learning SO(3) Equivariant Representations with Spherical CNNs

    Carlos Esteves;Christine Allen-Blanchette;Ameesh Makadia;Kostas Daniilidis

  • The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

    Alex Zihao Zhu;Dinesh Thakur;Tolga Ozaslan;Bernd Pfrommer

  • Fully Automatic Registration of 3D Point Clouds

    A. Makadia;A.I. Patterson;K. Daniilidis

  • Ordinal Depth Supervision for 3D Human Pose Estimation

    Georgios Pavlakos;Xiaowei Zhou;Kostas Daniilidis

  • 6-DoF object pose from semantic keypoints

    Georgios Pavlakos;Xiaowei Zhou;Aaron Chan;Konstantinos G. Derpanis

  • EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

    Alex Zihao Zhu;Liangzhe Yuan;Kenneth Chaney;Kostas Daniilidis

  • Monocular visual odometry in urban environments using an omnidirectional camera

    J.-P. Tardif;Y. Pavlidis;K. Daniilidis

  • Paracatadioptric camera calibration

    C. Geyer;K. Daniilidis

  • Initialization techniques for 3D SLAM: A survey on rotation estimation and its use in pose graph optimization

    Luca Carlone;Roberto Tron;Kostas Daniilidis;Frank Dellaert

  • Vision-Based, Distributed Control Laws for Motion Coordination of Nonholonomic Robots

    N. Moshtagh;N. Michael;A. Jadbabaie;K. Daniilidis

  • Single image 3D object detection and pose estimation for grasping

    Menglong Zhu;Konstantinos G. Derpanis;Yinfei Yang;Samarth Brahmbhatt

Frequent Co-Authors

George J. Pappas
George J. Pappas University of Pennsylvania
Giuseppe Loianno
Giuseppe Loianno New York University
Gerald Sommer
Gerald Sommer Kiel University
Volkan Isler
Volkan Isler University of Minnesota
Nikos Paragios
Nikos Paragios CentraleSupélec
Petros Maragos
Petros Maragos National Technical University of Athens
Sampath Kannan
Sampath Kannan University of Pennsylvania
Alexander Toshev
Alexander Toshev Apple (United States)
Peter Corke
Peter Corke Queensland University of Technology

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