World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
7377
World Ranking
8586
National Ranking
2375

Vladimir J. Lumelsky 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 Vladimir J. Lumelsky sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Vladimir J. Lumelsky 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 Vladimir J. Lumelsky sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1994 - IEEE Fellow For contributions to the field of robotics and automation, particularly for developing the theory of sensor-based motion planning in an uncertain environment.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Robotics
  • Robot

The scientist’s investigation covers issues in Artificial intelligence, Motion planning, Mobile robot, Robotics and Robot. His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision. In his study, Planar is strongly linked to Algorithm, which falls under the umbrella field of Motion planning.

His Mobile robot research is multidisciplinary, incorporating perspectives in Robotic arm and Trajectory. His Robotic arm research includes themes of Manipulator, Control theory, Arm solution, Simulation and Teleoperation. The various areas that he examines in his Robot study include Modality and Sensor fusion.

His most cited work include:

  • Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape (554 citations)
  • Sensitive Skin (397 citations)
  • Dynamic path planning for a mobile automaton with limited information on the environment (296 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Motion planning, Robot, Artificial intelligence, Mobile robot and Robot control. His Motion planning research incorporates themes from Control engineering, Robotic arm, Control theory and Position. His study in the field of Robot kinematics also crosses realms of Data processing.

His research in Artificial intelligence intersects with topics in Algorithm and Computer vision. His work on Mobile robot navigation and Personal robot as part of general Mobile robot research is often related to Complete information, thus linking different fields of science. His studies in Robotics integrate themes in fields like Human–computer interaction, Mathematical optimization and Trajectory.

He most often published in these fields:

  • Motion planning (70.51%)
  • Robot (57.69%)
  • Artificial intelligence (47.44%)

What were the highlights of his more recent work (between 1998-2018)?

  • Robot (57.69%)
  • Mobile robot (35.90%)
  • Motion planning (70.51%)

In recent papers he was focusing on the following fields of study:

Vladimir J. Lumelsky mainly focuses on Robot, Mobile robot, Motion planning, Artificial intelligence and Human–computer interaction. While working in this field, Vladimir J. Lumelsky studies both Robot and Obstacle. His study in the field of Robot control is also linked to topics like Fault tolerance and Redundancy.

His study on Motion planning is mostly dedicated to connecting different topics, such as Control theory. He works in the field of Artificial intelligence, focusing on Robotics in particular. His work in Robotics tackles topics such as Mobile robot navigation which are related to areas like Motion control.

Between 1998 and 2018, his most popular works were:

  • Sensitive Skin (397 citations)
  • Directions Toward Effective Utilization of Tactile Skin: A Review (256 citations)
  • Classification of the Dubins set (161 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Robotics
  • Robot

His primary areas of study are Robot, Human–computer interaction, Sensitive skin, Optoelectronics and Nanotechnology. Many of his research projects under Robot are closely connected to Trial and error and Obstacle with Trial and error and Obstacle, tying the diverse disciplines of science together. His Human–computer interaction research is multidisciplinary, incorporating perspectives in Engineering ethics and Human–robot interaction.

Vladimir J. Lumelsky connects Sensitive skin with Biosensor in his research.

Best Publications

  • Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape

    V. J. Lumelsky;A. A. Stepanov

  • Sensitive Skin

    V.J. Lumelsky;M.S. Shur;S. Wagner

  • Dynamic path planning for a mobile automaton with limited information on the environment

    V. Lumelsky;A. Stepanov

  • Directions Toward Effective Utilization of Tactile Skin: A Review

    Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng

  • Incorporating range sensing in the robot navigation function

    V.J. Lumelsky;T. Skewis

  • Classification of the Dubins set

    Andrei M. Shkel;Vladimir J. Lumelsky

  • A terrain-covering algorithm for an AUV

    Susan Hert;Sanjay Tiwari;Vladimir J. Lumelsky

  • Dynamic path planning in sensor-based terrain acquisition

    V.J. Lumelsky;S. Mukhopadhyay;K. Sun

  • Real-time collision avoidance in teleoperated whole-sensitive robot arm manipulators

    V.J. Lumelsky;E. Cheung

  • Final report for the DARPA/NSF interdisciplinary study on human-robot interaction

    J.L. Burke;R.R. Murphy;E. Rogers;V.J. Lumelsky

  • Decentralized motion planning for multiple mobile robots: the cocktail party model

    V. J. Lumelsky;K. R. Harinarayan

  • On fast computation of distance between line segments

    Vladimir J. Lumelsky

  • A comparative study on the path length performance of maze-searching and robot motion planning algorithms

    V.J. Lumelsky

  • Proximity sensing in robot manipulator motion planning: system and implementation issues

    E. Cheung;V.J. Lumelsky

  • Algorithmic and complexity issues of robot motion in an uncertain environment

    Vladimir J. Lumelsky

  • Effect of kinematics on motion planning for planar robot arms moving amidst unknown obstacles

    V. Lumelsky

  • Biped robot locomotion in scenes with unknown obstacles

    M. Yagi;V. Lumelsky

  • Polygon Area Decomposition for Multiple-Robot Workspace Division

    Susan Hert;Vladimir J. Lumelsky

  • An algorithm for maze searching with azimuth input

    V. Lumelsky;S. Tiwari

  • Experiments with a mobile robot operating in a cluttered unknown environment

    Tim Skewis;Vladimir J. Lumelsky

Frequent Co-Authors

Andrei M. Shkel
Andrei M. Shkel University of California, Irvine
Michael Shur
Michael Shur Rensselaer Polytechnic Institute
Charles R. Dyer
Charles R. Dyer University of Wisconsin–Madison
Kiriakos N. Kutulakos
Kiriakos N. Kutulakos University of Toronto
Jean Scholtz
Jean Scholtz Pacific Northwest National Laboratory
Sigurd Wagner
Sigurd Wagner Princeton University
Ravinder Dahiya
Ravinder Dahiya Northeastern University
Gordon Cheng
Gordon Cheng Technical University of Munich
Maurizio Valle
Maurizio Valle University of Genoa
Robin R. Murphy
Robin R. Murphy Texas A&M University

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