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D-Index & Metrics

Computer Science

D-Index
31
Citations
5549
World Ranking
13462
National Ranking
5384

Nikolaus Correll 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 Nikolaus Correll 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: 144 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Nikolaus Correll 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 Nikolaus Correll 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Nikolaus Correll is affiliated with the University of Colorado Boulder in the United States. Their research focuses primarily on engineering, with significant contributions in biomedical engineering, control and systems engineering, and mechanical engineering. Additional interests include cognitive neuroscience and physiology.

The main topics of Correll's work cover a range of areas related to robotics and materials science. These topics include:

  • Soft Robotics and Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Robot Manipulation and Learning
  • Dielectric materials and actuators
  • Tactile and Sensory Interactions
  • Teleoperation and Haptic Systems
  • Modular Robots and Swarm Intelligence

Correll has collaborated frequently with several researchers, including:

  • Khoi Ly
  • Mark E. Rentschler
  • Vani Sundaram
  • Brian K. Johnson
  • Mantas Naris

Their recent publications include the following papers:

  • A multifunctional soft robotic shape display with high-speed actuation, sensing, and control (2023), Nature Communications
  • Identification and Control of a Nonlinear Soft Actuator and Sensor System (2020), IEEE Robotics and Automation Letters
  • Electro-Hydraulic Rolling Soft Wheel: Design, Hybrid Dynamic Modeling, and Model Predictive Control (2022), IEEE Transactions on Robotics
  • Mobile Manipulation Hackathon: Moving into Real World Applications (2021), IEEE Robotics & Automation Magazine
  • Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators (2022), IEEE Transactions on Robotics

Correll's work has often been published in the following venues:

  • arXiv (Cornell University)
  • IEEE Robotics & Automation Magazine
  • IEEE Transactions on Robotics
  • Springer proceedings in advanced robotics
  • Nature Communications

Best Publications

  • Materials that couple sensing, actuation, computation, and communication

    M. A. McEvoy;N. Correll

  • Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices

    José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

    David Coleman;Ioan Alexandru Sucan;Sachin Chitta;Nikolaus Correll

  • SwisTrack - a flexible open source tracking software for multi-agent systems

    T. Lochmatter;P. Roduit;C. Cianci;N. Correll

  • Organizing the Aggregate: Languages for Spatial Computing

    Jacob Beal;Stefan Dulman;Kyle Usbeck;Mirko Viroli

  • Soft Autonomous Materials—Using Active Elasticity and Embedded Distributed Computation

    Nikolaus Correll;Çağdaş D. Önal;Haiyi Liang;Erik Schoenfeld

  • A soft pneumatic actuator that can sense grasp and touch

    Nicholas Farrow;Nikolaus Correll

  • C-FOREST: Parallel Shortest Path Planning With Superlinear Speedup

    M. Otte;N. Correll

  • Thermoplastic variable stiffness composites with embedded, networked sensing, actuation, and control

    M Andy McEvoy;Nikolaus Correll

  • Modeling and designing self-organized aggregation in a swarm of miniature robots

    Nikolaus Correll;Alcherio Martinoli

  • Collective Inspection of Regular Structures using a Swarm of Miniature Robots

    Nikolaus Correll;Alcherio Martinoli

  • SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems

    Nikolaus Correll;G. Sempo;Y. De Meneses;J. Halloy

  • Multirobot inspection of industrial machinery

    N. Correll;A. Martinoli

  • Experience-based planning with sparse roadmap spanners

    David Coleman;Ioan A. Sucan;Mark Moll;Kei Okada

  • Collaborative coverage using a swarm of networked miniature robots

    Samuel Rutishauser;Nikolaus Correll;Alcherio Martinoli

  • Lessons from the Amazon Picking Challenge.

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • A Robotic Skin for Collision Avoidance and Affective Touch Recognition

    Dana Hughes;John Lammie;Nikolaus Correll

  • Multi-level spatial modeling for stochastic distributed robotic systems

    Amanda Prorok;Nikolaus Correll;Alcherio Martinoli

  • A One-Year Introductory Robotics Curriculum for Computer Science Upperclassmen

    N. Correll;R. Wing;D. Coleman

  • Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication

    Dana Hughes;Nikolaus Correll

  • C-FOREST: parallel shortest-path planning with super linear speedup

    Michael Otte;Nikolaus Correll

Frequent Co-Authors

Alcherio Martinoli
Alcherio Martinoli École Polytechnique Fédérale de Lausanne
Richard Han
Richard Han Macquarie University
Kei Okada
Kei Okada University of Tokyo
Christoph Keplinger
Christoph Keplinger Max Planck Institute for Intelligent Systems
Kris Hauser
Kris Hauser Duke University
Oliver Brock
Oliver Brock Technical University of Berlin
Kostas E. Bekris
Kostas E. Bekris Rutgers, The State University of New Jersey
Robert F. Shepherd
Robert F. Shepherd Cornell University

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