World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
10867
World Ranking
11431
National Ranking
213

Hans Hellendoorn 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 Hans Hellendoorn 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: 166 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Hans Hellendoorn 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 Hans Hellendoorn 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Hans Hellendoorn is affiliated with Delft University of Technology in the Netherlands, focusing on research in engineering and computer science. Their work spans several subfields, including automotive engineering, computer vision and pattern recognition, control and systems engineering, industrial and manufacturing engineering, and information systems and management.

The scientist's research topics cover a range of areas related to vehicle dynamics, control systems, and advanced neural network applications. Specific topics include:

  • Vehicle Dynamics and Control Systems
  • Autonomous Vehicle Technology and Safety
  • Industrial Vision Systems and Defect Detection
  • Advanced Neural Network Applications
  • Control and Dynamics of Mobile Robots
  • Robotic Path Planning Algorithms
  • Interdisciplinary Research and Collaboration

Hans Hellendoorn has published multiple papers in recognized venues. Recent publications include:

  • "Control of a Scaled Vehicle in and Beyond Stable Limit Handling," 2021, IEEE Transactions on Vehicular Technology
  • "Transforming Engineering Education in Learning Ecosystems for Resilient Engineers," 2023, IEEE Transactions on Education
  • "Sequential Neural Network Model with Spatial-Temporal Attention Mechanism for Robust Lane Detection Using Multi Continuous Image Frames," 2022, SSRN Electronic Journal (two papers with same title)

Frequent coauthors in Hellendoorn's research include Mart Baars, Mohsen Alirezaei, Sandeep Patil, Yongqi Dong, and Haneen Farah. Collaboration with these authors has contributed to various topics in the scientist's fields of study.

The venues where Hellendoorn most frequently publishes are:

  • SSRN Electronic Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Education

Best Publications

  • An Introduction to Fuzzy Control

    D. Driankov;H. Hellendoorn;M. Reinfrank

  • Model predictive control for optimal coordination of ramp metering and variable speed limits

    Andreas Hegyi;Bart De Schutter;Hans Hellendoorn

  • An Introduction to Fuzzy Control

    Unknown

  • Survey paper: A survey on industrial applications of fuzzy control

    Radu-Emil Precup;Hans Hellendoorn

  • Defuzzification in Fuzzy Controllers

    Hans Hellendoorn;Christoph Thomas

  • Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

    Rainer Palm;Hans Hellendoorn;Dimiter Driankov

  • Model Based Fuzzy Control

    Rainer Palm;Hans Hellendoorn;Dimiter Driankov

  • Fuzzy model identification: selected approaches

    Hans Hellendoorn;Dimiter Driankov

  • Fast Model Predictive Control for Urban Road Networks via MILP

    Shu Lin;B. De Schutter;Yugeng Xi;H. Hellendoorn

  • An introduction to fuzzy control (2nd ed.)

    Dimiter Driankov;Hans Hellendoorn;Michael Reinfrank

  • Efficient network-wide model-based predictive control for urban traffic networks

    Shu Lin;Shu Lin;Shu Lin;Bart De Schutter;Yugeng Xi;Yugeng Xi;Hans Hellendoorn

  • Fuzzy Model Identification

    Hans Hellendoorn;Dimiter Driankov

  • Integrated traffic control for mixed urban and freeway networks: a model predictive control approach

    M. Van den Berg;A. Hegyi;B. De Schutter;H. Hellendoorn

  • Traffic Management for Automated Highway Systems Using Model-Based Predictive Control

    L. D. Baskar;B. De Schutter;H. Hellendoorn

  • A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies

    S. K. Zegeye;B. De Schutter;J. Hellendoorn;E. A. Breunesse

  • Optimal coordination of ramp metering and variable speed control-an MPC approach

    A. Hegyi;B. De Schutter;H. Hellendoorn;T. van den Boom

  • Optimal dynamic route guidance: A model predictive approach using the macroscopic fundamental diagram

    Mohammad Hajiahmadi;Victor L. Knoop;Bart De Schutter;Hans Hellendoorn

  • Integrated Urban Traffic Control for the Reduction of Travel Delays and Emissions

    Shu Lin;Bart De Schutter;Yugeng Xi;Hans Hellendoorn

  • Model-based traffic control for balanced reduction of fuel consumption, emissions, and travel time

    Solomon Kidane Zegeye;Bart De Schutter;Hans Hellendoorn;Ewald Breunesse

  • Learning-based model predictive control for Markov decision processes

    Rudy R. Negenborn;Bart De Schutter;Marco A. Wiering;Hans Hellendoorn

  • Intelligent Infrastructures

    Rudy R. Negenborn;Zofia Lukszo;Hans Hellendoorn

  • Multi-Agent Model Predictive Control of Transportation Networks

    R.R. Negenborn;B. De Schutter;H. Hellendoorn

  • Multi-agent model predictive control for transportation networks: serial versus parallel schemes

    Rudy R. Negenborn;Bart De Schutter;Hans Hellendoorn

Frequent Co-Authors

Bart De Schutter
Bart De Schutter Delft University of Technology
B. De Schutter
B. De Schutter Delft University of Technology
Andreas Hegyi
Andreas Hegyi Delft University of Technology
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Radu-Emil Precup
Radu-Emil Precup Polytechnic University of Timişoara
Jeroen Ploeg
Jeroen Ploeg Siemens (Netherlands)
Eduardo F. Camacho
Eduardo F. Camacho University of Seville
Markos Papageorgiou
Markos Papageorgiou Technical University of Crete
Manuel Mazo
Manuel Mazo University of Alcalá

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