World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
15592
World Ranking
4008
National Ranking
1912

Camillo J. Taylor 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 Camillo J. Taylor 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Camillo J. Taylor 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 Camillo J. Taylor 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Camillo J. Taylor is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Engineering and Computer Science, with 41 and 40 publications respectively. Within these broad areas, their work focuses on several subfields, including Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering, and Biomedical Engineering.

The scientist's research topics cover areas related to robotics and sensor-based localization, advanced vision and imaging, UAV applications and optimization, robotic locomotion and control, robotic path planning algorithms, advanced neural network applications, and advanced image and video retrieval techniques.

Recent representative papers authored or coauthored by Camillo J. Taylor include:

  • Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy, 2022, IEEE Robotics and Automation Letters
  • Stronger Together: Air-Ground Robotic Collaboration Using Semantics, 2022, IEEE Robotics and Automation Letters
  • Any Way You Look at It: Semantic Crossview Localization and Mapping With LiDAR, 2021, IEEE Robotics and Automation Letters
  • Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture, 2022, IEEE Micro
  • Bayesian Deep Basis Fitting for Depth Completion with Uncertainty, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Camillo J. Taylor collaborates frequently with a range of coauthors, including Fernando Cladera, Vijay Kumar, Ian D. Miller, Shreyas S. Shivakumar, and Chao Qu. The number of joint publications with these collaborators ranges from six to fifteen.

The scientist's work is published in a variety of venues, with the most frequent being arXiv (Cornell University) with 21 publications, followed by IEEE Robotics and Automation Letters with 6 publications. Other venues include the 2022 International Conference on Robotics and Automation (ICRA), IEEE Transactions on Field Robotics, and IEEE Micro.

Best Publications

  • Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

    Paul E. Debevec;Camillo J. Taylor;Jitendra Malik

  • A vision-based formation control framework

    A.K. Das;R. Fierro;V. Kumar;J.P. Ostrowski

  • Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image

    Camillo J. Taylor

  • Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

    Ke Sun;Kartik Mohta;Bernd Pfrommer;Michael Watterson

  • Planning Dynamically Feasible Trajectories for Quadrotors Using Safe Flight Corridors in 3-D Complex Environments

    Sikang Liu;Michael Watterson;Kartik Mohta;Ke Sun

  • Structure and motion from line segments in multiple images

    C.J. Taylor;D.J. Kriegman

  • Counting Apples and Oranges With Deep Learning: A Data-Driven Approach

    Steven W. Chen;Shreyas S. Shivakumar;Sandeep Dcunha;Jnaneshwar Das

  • Control of a Quadrotor Helicopter Using Dual Camera Visual Feedback

    Erdinç Altuğ;James P. Ostrowski;Camillo J. Taylor

  • Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

    Ty Nguyen;Steven W. Chen;Shreyas S. Shivakumar;Camillo Jose Taylor

  • Cooperative localization and control for multi-robot manipulation

    J. Spletzer;A.K. Das;R. Fierro;C.J. Taylor

  • Quadrotor control using dual camera visual feedback

    E. Altug;J.P. Ostrowski;C.J. Taylor

  • A Comparative Study of Vision-Based Lateral Control Strategies for Autonomous Highway Driving

    Camillo J. Taylor;Jana Košecká;Robert Blasi;Jitendra Malik

  • Stochastic road shape estimation

    B. Southall;C.J. Taylor

  • Vision-based motion planning and exploration algorithms for mobile robots

    C.J. Taylor;D.J. Kriegman

  • Fast, autonomous flight in GPS-denied and cluttered environments

    Kartik Mohta;Michael Watterson;Yash Mulgaonkar;Sikang Liu

  • Adaptive teams of autonomous aerial and ground robots for situational awareness

    M. Ani Hsieh;Anthony Cowley;James F. Keller;Luiz Chaimowicz

  • Maintaining network connectivity and performance in robot teams

    M. Ani Hsieh;Anthony Cowley;R. Vijay Kumar;Camillo J Taylor

  • A Framework and Architecture for Multi-Robot Coordination

    Rafael Fierro;Aveek Das;John Spletzer;Joel Esposito

  • Dynamic Sensor Planning and Control for Optimally Tracking Targets

    John R. Spletzer;Camillo J. Taylor

  • Autonomous Navigation and Mapping for Inspection of Penstocks and Tunnels With MAVs

    Tolga Ozaslan;Giuseppe Loianno;James Keller;Camillo J. Taylor

  • A Framework and Architecture for Multirobot Coordination

    Rajeev Alur;Aveek K. Das;Joel M. Esposito;Rafael B. Fierro

  • A comparative study of vision-based lateral control strategies for autonomous highway driving

    J. Kosecka;R. Blasi;C.J. Taylor;J. Malik

Frequent Co-Authors

James Ostrowski
James Ostrowski Blue River Technology
Jitendra Malik
Jitendra Malik University of California, Berkeley
David J. Kriegman
David J. Kriegman University of California, San Diego
George J. Pappas
George J. Pappas University of Pennsylvania
Giuseppe Loianno
Giuseppe Loianno New York University
Rafael Fierro
Rafael Fierro University of New Mexico
Jana Kosecka
Jana Kosecka George Mason University
Mark Yim
Mark Yim University of Pennsylvania
Vijay Kumar
Vijay Kumar University of Pennsylvania

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