World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
9921
World Ranking
6821
National Ranking
224

Frank Hoffmann 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 Frank Hoffmann 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: 156 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Frank Hoffmann 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 Frank Hoffmann 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Frank Hoffmann is affiliated with TU Dortmund University in Germany and has contributed to research primarily in the fields of Engineering and Computer Science. Their work prominently spans subfields such as Control and Systems Engineering, Automotive Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, and Renewable Energy, Sustainability and the Environment.

The scientist's research focuses on topics including Autonomous Vehicle Technology and Safety, Traffic Control and Management, Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, Robotic Mechanisms and Dynamics, Advanced Control Systems Optimization, and Energy, Environment, and Transportation Policies.

Among recent papers authored by Frank Hoffmann or in collaboration are:

  • Model predictive control of a collaborative manipulator considering dynamic obstacles (2020) published in Optimal Control Applications and Methods
  • Uncertainty-Aware Model-Based Offline Reinforcement Learning for Automated Driving (2023) published in IEEE Robotics and Automation Letters
  • UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning (2021) published on arXiv (Cornell University)
  • Überversorgung und Übertherapie in der Intensivmedizin - wichtige Themen in einer herausfordernden Zeit, die einen differenzierten Diskurs benötigen (2021) published in Medizinische Klinik - Intensivmedizin und Notfallmedizin
  • Differentiable Constrained Imitation Learning for Robot Motion Planning and Control (2022) published on arXiv (Cornell University)

Frequent co-authors collaborating with Frank Hoffmann include:

  • Torsten Bertram
  • Christopher Diehl
  • Timo Sievernich
  • Martin Krüger
  • Maximilian Krämer

The outlets where Hoffmann has commonly published are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Optimal Control Applications and Methods
  • Medizinische Klinik - Intensivmedizin und Notfallmedizin

Best Publications

  • Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

    Oscar Cordón;Francisco Herrera;Frank Hoffmann;Luis Magdalena

  • Ten years of genetic fuzzy systems: current framework and new trends

    Oscar Cordón;Fernando A. C. Gomide;Francisco Herrera;Frank Hoffmann

  • Ten years of genetic fuzzy systems: current framework and new trends

    O. Cordon;F. Herrera;F. Gomide;F. Hoffmann

  • Advances in Soft Computing

    Jose Manuel Benítez;Oscar Cordón;Frank Hoffmann;Rajkumar Roy

  • A comprehensive study of control design for an autonomous helicopter

    H. Shim;T.J. Koo;F. Hoffmann;S. Sastry

  • Integrated online trajectory planning and optimization in distinctive topologies

    Christoph Rösmann;Frank Hoffmann;Torsten Bertram

  • Trajectory modification considering dynamic constraints of autonomous robots

    Christoph Roesmann;Wendelin Feiten;Thomas Woesch;Frank Hoffmann

  • Efficient trajectory optimization using a sparse model

    Christoph Rosmann;Wendelin Feiten;Thomas Wosch;Frank Hoffmann

  • Modeling and Identification of Elastic Robot Joints With Hysteresis and Backlash

    M. Ruderman;F. Hoffmann;T. Bertram

  • Evolutionary algorithms for fuzzy control system design

    F. Hoffmann

  • Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

    M.J. del Jesus;F. Hoffmann;L.J. Navascues;L. Sanchez

  • Kinodynamic trajectory optimization and control for car-like robots

    Christoph Rosmann;Frank Hoffmann;Torsten Bertram

  • Timed-Elastic-Bands for time-optimal point-to-point nonlinear model predictive control

    Christoph Rosmann;Frank Hoffmann;Torsten Bertram

  • Computational Intelligence for Knowledge-Based Systems Design

    Eyke Hüllermeier;Rudolf Kruse;Frank Hoffmann

  • Evolutionary design of a fuzzy knowledge base for a mobile robot

    Frank Hoffmann;Gerd Pfister

  • Impact of methanol concentration on secreted protein production in oxygen‐limited cultures of recombinant Pichia pastoris

    Narendar K. Khatri;Frank Hoffmann

  • Optimal State Space Control of DC Motor

    Michael Ruderman;Johannes Krettek;Frank Hoffmann;Torsten Bertram

  • Inferring descriptive and approximate fuzzy rules for credit scoring using evolutionary algorithms

    F Hoffmann;Bart Baesens;Bart Baesens;Christophe Mues;Christophe Mues;T Van Gestel

  • Combining boosting and evolutionary algorithms for learning of fuzzy classification rules

    Frank Hoffmann

  • Soft Computing and Industry

    Rajkumar Roy;Mario Köppen;Seppo Ovaska;Takeshi Furuhashi

  • Robot programming by demonstration

    Krishna Kumar Narayanan;Luis Felipe Posada;Frank Hoffmann;Torsten Bertram

  • Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases

    Hisao Ishibuchi

Frequent Co-Authors

Oscar Cordón
Oscar Cordón University of Granada
Ralf Mikut
Ralf Mikut Karlsruhe Institute of Technology
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München
Francisco Herrera
Francisco Herrera University of Granada
Luis Magdalena
Luis Magdalena Technical University of Madrid
Rudolf Kruse
Rudolf Kruse Otto-von-Guericke University Magdeburg
Shankar Sastry
Shankar Sastry University of California, Berkeley
Ursula Rinas
Ursula Rinas University of Hannover
Bart Baesens
Bart Baesens KU Leuven

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