World's Best Scientists 2026 revealed!
Francesco Corman

Francesco Corman

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7068
World Ranking
5248
National Ranking
82

Francesco Corman 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 Francesco Corman 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: 281 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Francesco Corman 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 Francesco Corman 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Francesco Corman is affiliated with ETH Zurich in Switzerland. Their research activity spans a significant number of publications in engineering and social sciences, with a particular focus on transportation and related fields.

The primary fields of study for Francesco Corman include:

  • Engineering
  • Social Sciences

Subfields of study highlight specializations in:

  • Transportation
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Building and Construction
  • Automotive Engineering

The main research topics addressed in their work are:

  • Transportation Planning and Optimization
  • Railway Systems and Energy Efficiency
  • Railway Engineering and Dynamics
  • Traffic Prediction and Management Techniques
  • Transportation and Mobility Innovations
  • Urban Transport and Accessibility
  • Human Mobility and Location-Based Analysis

Recent publications illustrate the scope and focus of their research activity:

  • The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area, 2021, Transport Policy
  • Train trajectory optimization for improved on-time arrival under parametric uncertainty, 2020, Transportation Research Part C Emerging Technologies
  • COVID-19 as a window of opportunity for cycling: Evidence from the first wave, 2021, Transport Policy
  • The multi-commodity network flow problem with soft transit time constraints: Application to liner shipping, 2021, Transportation Research Part E Logistics and Transportation Review
  • The role of information availability to passengers in public transport disruptions: An agent-based simulation approach, 2020, Transportation Research Part A Policy and Practice

Francesco Corman has collaborated extensively with several frequent co-authors, including:

  • Alessio Trivella
  • Xiaojie Luan
  • Beda Büchel
  • Lingyun Meng
  • Thomas Spanninger

The publication venues frequently hosting their work reflect strong engagement with transportation and engineering scholarship, including:

  • SSRN Electronic Journal
  • Repository for Publications and Research Data (ETH Zurich)
  • Transportation Research Part C Emerging Technologies
  • IEEE Open Journal of Intelligent Transportation Systems
  • Journal of Rail Transport Planning & Management

Best Publications

  • A tabu search algorithm for rerouting trains during rail operations

    Francesco Corman;Andrea D'Ariano;Andrea D'Ariano;Dario Pacciarelli;Marco Pranzo

  • Reordering and Local Rerouting Strategies to Manage Train Traffic in Real Time

    Andrea D'Ariano;Francesco Corman;Dario Pacciarelli;Marco Pranzo

  • A Review of Online Dynamic Models and Algorithms for Railway Traffic Management

    Francesco Corman;Lingyun Meng

  • Bi-objective conflict detection and resolution in railway traffic management

    Francesco Corman;Andrea D'Ariano;Dario Pacciarelli;Marco Pranzo

  • Integrating train scheduling and delay management in real-time railway traffic control

    Francesco Corman;Francesco Corman;Andrea D’Ariano;Alessio D. Marra;Dario Pacciarelli

  • Evaluation of green wave policy in real-time railway traffic management

    Francesco Corman;Andrea D'Ariano;Andrea D'Ariano;Dario Pacciarelli;Marco Pranzo

  • A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations

    Marcella Samà;Andrea D'Ariano;Francesco Corman;Dario Pacciarelli

  • Stochastic prediction of train delays in real-time using Bayesian networks

    Francesco Corman;Pavle Kecman

  • Condition monitoring approaches for the detection of railway wheel defects

    Alireza Alemi;Francesco Corman;Gabriel Lodewijks

  • 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

  • The impact of COVID-19 pandemic on public transport usage and route choice: Evidences from a long-term tracking study in urban area

    Unknown

  • Dispatching and coordination in multi-area railway traffic management

    F. Corman;F. Corman;A. D'ariano;D. Pacciarelli;M. Pranzo

  • An iterative optimization framework for delay management and train scheduling

    Twan Dollevoet;Francesco Corman;Francesco Corman;Andrea D’Ariano;Dennis Huisman

  • Integrated stochastic optimization approaches for tactical scheduling of trains and railway infrastructure maintenance

    Andrea D’Ariano;Lingyun Meng;Gabriele Centulio;Francesco Corman;Francesco Corman

  • Optimal multi-class rescheduling of railway traffic

    Francesco Corman;Andrea D'Ariano;Ingo Arne Hansen;Dario Pacciarelli

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

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

  • Integrated optimization on train scheduling and preventive maintenance time slots planning

    Xiaojie Luan;Jianrui Miao;Lingyun Meng;Francesco Corman

  • Evaluating Disturbance Robustness of Railway Schedules

    Francesco Corman;Andrea D’Ariano;Ingo A. Hansen

  • COVID-19 as a window of opportunity for cycling: Evidence from the first wave

    Unknown

  • Assessing partial observability in network sensor location problems

    Francesco Viti;Marco Rinaldi;Francesco Corman;Chris M.J. Tampère

  • Optimal inter-area coordination of train rescheduling decisions

    Francesco Corman;Francesco Corman;Andrea D'Ariano;Dario Pacciarelli;Marco Pranzo

  • Stochastic prediction of train delays in real-time using Bayesian networks

    Pavle Kecman;Francesco Corman;Anders Peterson;Martin Joborn

  • Evaluation of green wave policy in real-time railway traffic management

    Andrea D'Ariano;F Corman;D Pacciarelli;M. Pranzo

Frequent Co-Authors

Andrea D'Ariano
Andrea D'Ariano Roma Tre University
Dario Pacciarelli
Dario Pacciarelli Roma Tre University
Gabriel Lodewijks
Gabriel Lodewijks University of New South Wales
Rob M.P. Goverde
Rob M.P. Goverde Delft University of Technology
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Bart De Schutter
Bart De Schutter Delft University of Technology
David Pisinger
David Pisinger Technical University of Denmark
Liping Fu
Liping Fu University of Waterloo

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