World's Best Scientists 2026 revealed!
Luca Carlone

Luca Carlone

D-Index & Metrics

Computer Science

D-Index
54
Citations
19524
World Ranking
4447
National Ranking
2080

Luca Carlone 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 Luca Carlone 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Luca Carlone 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 Luca Carlone 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Luca Carlone is affiliated with MIT in the United States and has contributed extensively to research in robotics and computer science. Their work spans multiple subfields and topics related to spatial perception, robotic localization, and sensor-based technologies.

Their research focuses on several main fields of study, including:

  • Computer Science
  • Engineering

Within these fields, their subfields of expertise include:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Geology

The main topics addressed in their work cover:

  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage
  • Human Pose and Action Recognition
  • Modular Robots and Swarm Intelligence
  • Remote Sensing and LiDAR Applications

Luca Carlone has published frequently in prominent venues such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • The International Journal of Robotics Research

Frequent collaborators in their work include:

  • Jingnan Shi
  • Yun Chang
  • Nathan Hughes
  • Kamak Ebadi
  • Benjamin Morrell

Recent papers authored or co-authored by Luca Carlone include:

  • TEASER: Fast and Certifiable Point Cloud Registration, 2020, IEEE Transactions on Robotics
  • Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection, 2020, IEEE Robotics and Automation Letters
  • A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers, 2023, IEEE Transactions on Robotics
  • Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems, 2022, IEEE Transactions on Robotics
  • LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground Environments, 2022, IEEE Robotics and Automation Letters

Best Publications

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • TEASER: Fast and Certifiable Point Cloud Registration

    Heng Yang;Jingnan Shi;Luca Carlone

  • IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

    Antoni Rosinol;Marcus Abate;Yun Chang;Luca Carlone

  • DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams

    Pierre-Yves Lajoie;Benjamin Ramtoula;Yun Chang;Luca Carlone

  • NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields

    Unknown

  • SE-Sync: a certifiably correct algorithm for synchronization over the special Euclidean group

    David M. Rosen;Luca Carlone;Afonso S. Bandeira;John J. Leonard

  • Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection

    Heng Yang;Pasquale Antonante;Vasileios Tzoumas;Luca Carlone

  • Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems

    Unknown

  • 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

  • Duckietown: An open, inexpensive and flexible platform for autonomy education and research

    Liam Paull;Jacopo Tani;Heejin Ahn;Javier Alonso-Mora

  • Planning in the continuous domain

    Vadim Indelman;Luca Carlone;Frank Dellaert

  • Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

    Unknown

  • LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

    Kamak Ebadi;Yun Chang;Matteo Palieri;Alex Stephens

  • A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group.

    David M. Rosen;Luca Carlone;Afonso S. Bandeira;John J. Leonard

  • Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones

    Amr Suleiman;Zhengdong Zhang;Luca Carlone;Sertac Karaman

  • 3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

    Antoni Rosinol;Arjun Gupta;Marcus Abate;Jingnan Shi

  • Modeling Perceptual Aliasing in SLAM via Discrete–Continuous Graphical Models

    Pierre-Yves Lajoie;Siyi Hu;Giovanni Beltrame;Luca Carlone

  • Attention and Anticipation in Fast Visual-Inertial Navigation

    Luca Carlone;Sertac Karaman

  • Rao-Blackwellized Particle Filters multi robot SLAM with unknown initial correspondences and limited communication

    Luca Carlone;Miguel Kaouk Ng;Jingjing Du;Basilio Bona

  • A Linear Approximation for Graph-based Simultaneous Localization and Mapping

    Luca Carlone;Rosario Aragues;José A. Castellanos;Basilio Bona

  • Supplementary Material to: IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

Frequent Co-Authors

Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore Polytechnic University of Turin
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
George J. Pappas
George J. Pappas University of Pennsylvania
Luca Schenato
Luca Schenato University of Padua

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