World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
12681
World Ranking
4474
National Ranking
1285

Jur van den Berg publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jur van den Berg sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 80 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jur van den Berg D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jur van den Berg sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jur van den Berg is affiliated with the University of Utah in the United States and has contributed to multiple fields, primarily within computer science and engineering. Their research intersects with social sciences as well, reflecting a multidisciplinary approach.

The scientist's work spans a variety of subfields including:

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation
  • Computer Vision and Pattern Recognition

The main topics investigated by Jur van den Berg include:

  • Autonomous Vehicle Technology and Safety
  • Traffic control and management
  • Transportation Planning and Optimization
  • Machine Learning and Algorithms
  • Reinforcement Learning in Robotics
  • Bayesian Modeling and Causal Inference
  • Robotic Path Planning Algorithms

Recent publications authored or co-authored by Jur van den Berg cover a range of topics in artificial intelligence, robotics, and autonomous vehicles:

  • Efficient Approximate Value Iteration for Continuous Gaussian POMDPs, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Stochastic Extended LQR for Optimization-Based Motion Planning Under Uncertainty, 2020, UNC Libraries
  • Lane-level route planning for autonomous vehicles, 2024, The International Journal of Robotics Research
  • Lane-Level Route Planning for Autonomous Vehicles, 2022, arXiv (Cornell University)

Jur van den Berg has collaborated frequently with several researchers, indicating active partnerships within the research community. Frequent co-authors include:

  • Maximilian Haas-Heger
  • Ron Alterovitz
  • Mitchell Jones
  • Sachin Patil

The venues where Jur van den Berg has published reflect engagement with reputable conferences and journals focused on artificial intelligence, robotics, and systems engineering. These venues include:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The International Journal of Robotics Research
  • UNC Libraries
  • arXiv (Cornell University)

Best Publications

  • Reciprocal n-Body Collision Avoidance

    Jur van den Berg;Stephen J. Guy;Ming C. Lin;Dinesh Manocha

  • Reciprocal Velocity Obstacles for real-time multi-agent navigation

    J. van den Berg;Ming Lin;D. Manocha

  • LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

    Jur Van Den Berg;Pieter Abbeel;Ken Goldberg

  • The Hybrid Reciprocal Velocity Obstacle

    J. Snape;J. van den Berg;S. J. Guy;D. Manocha

  • Kinodynamic RRT*: Asymptotically optimal motion planning for robots with linear dynamics

    Dustin J. Webb;Jur van den Berg

  • Motion planning under uncertainty using iterative local optimization in belief space

    Jur Van Den Berg;Sachin Patil;Ron Alterovitz

  • Prioritized motion planning for multiple robots

    J.P. van den Berg;M.H. Overmars

  • Reciprocal collision avoidance with acceleration-velocity obstacles

    Jur van den Berg;Jamie Snape;Stephen J. Guy;Dinesh Manocha

  • Anytime path planning and replanning in dynamic environments

    J. van den Berg;D. Ferguson;J. Kuffner

  • Generalized velocity obstacles

    David Wilkie;Jur van den Berg;Dinesh Manocha

  • Interactive navigation of multiple agents in crowded environments

    Jur van den Berg;Sachin Patil;Jason Sewall;Dinesh Manocha

  • Directing Crowd Simulations Using Navigation Fields

    Sachin Patil;Jur van den Berg;Sean Curtis;Ming C Lin

  • Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations

    Jur van den Berg;Stephen Miller;Daniel Duckworth;Humphrey Hu

  • Roadmap-based motion planning in dynamic environments

    J.P. van den Berg;M.H. Overmars

  • A geometric approach to robotic laundry folding

    Stephen Miller;Jur Van Den Berg;Mario Fritz;Trevor Darrell

  • The visibility-Voronoi complex and its applications

    Ron Wein;Jur P. van den Berg;Dan Halperin

  • Centralized path planning for multiple robots: Optimal decoupling into sequential plans

    Jur van den Berg;Jack Snoeyink;Ming C. Lin;Dinesh Manocha

  • Gravity-Based Robotic Cloth Folding.

    Jur van den Berg;Stephen Miller;Kenneth Y. Goldberg;Pieter Abbeel

  • Generalized reciprocal collision avoidance

    Daman Bareiss;Jur van den Berg

  • Using Workspace Information as a Guide to Non-uniform Sampling in Probabilistic Roadmap Planners

    Jur P. van den Berg;Mark H. Overmars

  • Path Planning among Movable Obstacles: A Probabilistically Complete Approach

    Jur P. van den Berg;Mike Stilman;James Kuffner;Ming C. Lin

Frequent Co-Authors

Dinesh Manocha
Dinesh Manocha University of Maryland, College Park
Ming C. Lin
Ming C. Lin University of Maryland, College Park
Sachin Patil
Sachin Patil University of California, Berkeley
Ken Goldberg
Ken Goldberg University of California, Berkeley
Pieter Abbeel
Pieter Abbeel University of California, Berkeley
Ron Alterovitz
Ron Alterovitz University of North Carolina at Chapel Hill
Mark H. Overmars
Mark H. Overmars Utrecht University
Dan Halperin
Dan Halperin Tel Aviv University
Wen Sun
Wen Sun Cornell University
Mario Fritz
Mario Fritz Helmholtz Center for Information Security

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