World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
7205
World Ranking
4961
National Ranking
100

Rob M.P. Goverde 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 Rob M.P. Goverde 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: 193 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Rob M.P. Goverde 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 Rob M.P. Goverde 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: 47 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Rob M.P. Goverde is affiliated with Delft University of Technology in the Netherlands and focuses primarily on engineering research, with extensive work in industrial and manufacturing engineering as well as mechanical engineering. Their research also explores areas within transportation, automotive engineering, and strategy and management.

Their main topics of investigation include:

  • Railway Systems and Energy Efficiency
  • Railway Engineering and Dynamics
  • Transportation Planning and Optimization
  • Maritime Ports and Logistics
  • Electrical Contact Performance and Analysis
  • Transport and Economic Policies
  • Electric and Hybrid Vehicle Technologies

They have published frequently in the following venues:

  • Journal of Rail Transport Planning & Management (13 publications)
  • Transportation Research Part C Emerging Technologies (9 publications)
  • IEEE Transactions on Intelligent Transportation Systems (8 publications)
  • SSRN Electronic Journal (3 publications)
  • Transportation Research Part A Policy and Practice (2 publications)

Some of their recent papers include:

  • "A literature review of Artificial Intelligence applications in railway systems," 2022, Transportation Research Part C Emerging Technologies
  • "A multi-state train-following model for the analysis of virtual coupling railway operations," 2020, Journal of Rail Transport Planning & Management
  • "Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Train trajectory optimization for improved on-time arrival under parametric uncertainty," 2020, Transportation Research Part C Emerging Technologies
  • "A hybrid Delphi-AHP multi-criteria analysis of Moving Block and Virtual Coupling railway signalling," 2021, Transportation Research Part C Emerging Technologies

Goverde has collaborated frequently with several researchers, including:

  • Egidio Quaglietta (15 joint publications)
  • Nikola Bešinović (13 joint publications)
  • Niels van Oort (9 joint publications)
  • Ronghui Liu (7 joint publications)
  • Valeria Vittorini (6 joint publications)

In addition to journal articles, Goverde has contributed to book publications, notably with Springer International Publishing. One such title is Energy-Efficient Train Operation, published in 2023.

Best Publications

  • Review of energy-efficient train control and timetabling

    Gerben M. Scheepmaker;Rob M.P. Goverde;Leo G. Kroon

  • Railway Timetable Stability Analysis Using Max-plus System Theory

    Rob M.P. Goverde

  • Recent applications of big data analytics in railway transportation systems: A survey

    Faeze Ghofrani;Qing He;Rob M.P. Goverde;Xiang Liu

  • A literature review of Artificial Intelligence applications in railway systems

    Unknown

  • A delay propagation algorithm for large-scale railway traffic networks

    Rob M.P. Goverde

  • Punctuality of railway operations and timetable stability analysis

    Rob M P Goverde

  • A multi-state train-following model for the analysis of virtual coupling railway operations

    Egidio Quaglietta;Meng Wang;Rob M.P. Goverde

  • Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions

    Rob M.P. Goverde;Francesco Corman;Francesco Corman;Andrea D’Ariano

  • Multiple-phase train trajectory optimization with signalling and operational constraints

    Pengling Wang;Pengling Wang;Rob M.P. Goverde

  • Multi-train trajectory optimization for energy-efficient timetabling

    Pengling Wang;Rob M.P. Goverde

  • An integrated micro–macro approach to robust railway timetabling

    Nikola Bešinović;Rob M.P. Goverde;Egidio Quaglietta;Roberto Roberti

  • Railway timetable rescheduling with flexible stopping and flexible short-turning during disruptions

    Yongqiu Zhu;Rob M.P. Goverde

  • Predictive modelling of running and dwell times in railway traffic

    Pavle Kecman;Rob M. P. Goverde

  • Multi-train trajectory optimization for energy efficiency and delay recovery on single-track railway lines

    Pengling Wang;Rob M.P. Goverde

  • Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications

    Unknown

  • Rescheduling models for railway traffic management in large-scale networks

    Pavle Kecman;Francesco Corman;Andrea D’Ariano;Rob M. P. Goverde

  • A three-level framework for performance-based railway timetabling

    Rob M P Goverde;Nikola Bešinović;Anne Binder;Valentina Cacchiani

  • Online Data-Driven Adaptive Prediction of Train Event Times

    Pavle Kecman;Rob M. P. Goverde

  • Modeling railway disruption lengths with Copula Bayesian Networks

    Aurelius A. Zilko;Dorota Kurowicka;Rob M.P. Goverde

  • The ON-TIME real-time railway traffic management framework: A proof-of-concept using a scalable standardised data communication architecture

    Egidio Quaglietta;Egidio Quaglietta;Paola Pellegrini;Rob M.P. Goverde;Thomas Albrecht

  • Online train delay recognition and running time prediction

    Ingo A. Hansen;Rob M.P. Goverde;Dirk J. van der Meer

  • The interplay between energy-efficient train control and scheduled running time supplements

    Gerben M. Scheepmaker;Rob M.P. Goverde

Frequent Co-Authors

Oded Cats
Oded Cats Delft University of Technology
Andrea D'Ariano
Andrea D'Ariano Roma Tre University
Winnie Daamen
Winnie Daamen Delft University of Technology
Paolo Toth
Paolo Toth University of Bologna
Leo Kroon
Leo Kroon Erasmus University Rotterdam
Henk A. Dijkstra
Henk A. Dijkstra Utrecht University
Stefan C. Dekker
Stefan C. Dekker Utrecht University
Tao Tang
Tao Tang Beijing Jiaotong University
Anita Schöbel
Anita Schöbel Technical University of Kaiserslautern

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