World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
8168
World Ranking
3499
National Ranking
187

Majid Sarvi 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 Majid Sarvi 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: 296 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Majid Sarvi 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 Majid Sarvi 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Majid Sarvi is affiliated with the University of Melbourne in Australia and conducts research primarily in the fields of engineering and computer science.

Their work spans several focused subfields, including:

  • Transportation
  • Safety, Risk, Reliability and Quality
  • Building and Construction
  • Ocean Engineering
  • Control and Systems Engineering

Key topics addressed in their research cover:

  • Evacuation and Crowd Dynamics
  • Traffic and Road Safety
  • Traffic Prediction and Management Techniques
  • Traffic control and management
  • Transportation Planning and Optimization
  • Autonomous Vehicle Technology and Safety
  • Human Mobility and Location-Based Analysis

Frequently publishing in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • Collective Dynamics
  • Safety Science
  • SSRN Electronic Journal

Majid Sarvi has collaborated extensively with several coauthors, including:

  • Saeed Asadi Bagloee
  • Neema Nassir
  • Egemen Tanin
  • Milad Haghani
  • Jianzhong Qi

Representative recent publications include:

  • Evacuation behaviour of crowds under high and low levels of urgency: Experiments of reaction time, exit choice and exit-choice adaptation (2020), published in Safety Science
  • Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control (2023), published in Transportation Research Part C Emerging Technologies
  • Pedestrian single file movement on stairway: Investigating the impact of stair configuration on pedestrian ascent and descent fundamental diagram (2021), published in Safety Science
  • A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction (2022), published in IEEE Transactions on Knowledge and Data Engineering
  • A modified universal pedestrian motion model: Revisiting pedestrian simulation with bottlenecks (2021), published in Building Simulation

Best Publications

  • Crowd behaviour and motion: Empirical methods

    Milad Haghani;Majid Sarvi

  • Simulation of safety: a review of the state of the art in road safety simulation modelling.

    William Young;Amir Sobhani;Michael Graeme Lenne;Majid Sarvi

  • Lane changing models: a critical review

    Sara Moridpour;Majid Sarvi;Geoffrey Rose

  • Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions

    Nirajan Shiwakoti;Majid Sarvi;Geoffrey Rose;Martin Burd

  • Human exit choice in crowded built environments: Investigating underlying behavioural differences between normal egress and emergency evacuations

    Milad Haghani;Majid Sarvi

  • Stated and revealed exit choices of pedestrian crowd evacuees

    Milad Haghani;Majid Sarvi

  • Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods

    Richard Amoh-Gyimah;Meead Saberi;Majid Sarvi

  • Evaluation of speed-based travel time estimation models

    Ruimin Li;Geoffrey Rose;Majid Sarvi

  • Optimization of Transit Priority in the Transportation Network Using a Genetic Algorithm

    M. Mesbah;M. Sarvi;G. Currie

  • Effect of Surrounding Traffic Characteristics on Lane Changing Behavior

    Sara Moridpour;Geoffrey Rose;Majid Sarvi

  • A new approach to evaluating on-road public transport priority projects: balancing the demand for limited road-space

    Graham Currie;Majid Sarvi;Bill Young

  • Enhancing the panic escape of crowd through architectural design

    Nirajan Shiwakoti;Majid Sarvi

  • A state-of-the-art review of car-following models with particular considerations of heavy vehicles

    Kayvan Aghabayk;Majid Sarvi;William Young

  • Modeling the Lane-Changing Execution of Multiclass Vehicles under Heavy Traffic Conditions:

    Sara Moridpour;Majid Sarvi;Geoffrey Rose

  • Evacuation behaviour of crowds under high and low levels of urgency: Experiments of reaction time, exit choice and exit-choice adaptation

    Milad Haghani;Majid Sarvi;Zahra Shahhoseini

  • Optimization of Transit Priority in the Transportation Network Using a Decomposition Methodology

    Mahmoud Mesbah;Majid Sarvi;Iradj Ouveysi;Graham Victor Currie

  • Lane-Changing Decision Model for Heavy Vehicle Drivers

    Sara Moridpour;Majid Sarvi;Geoff Rose;Ehsan Mazloumi

  • Using Kalman filter algorithm for short-term traffic flow prediction in a connected vehicle environment

    Azadeh Emami;Majid Sarvi;Saeed Asadi Bagloee

  • A Mixed User-Equilibrium and System-Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem

    Saeed Asadi Bagloee;Majid Sarvi;Michael Patriksson;Abbas Rajabifard

  • Factors affecting the probability of bus drivers being at-fault in bus-involved accidents.

    Kelvin Goh;Graham Currie;Majid Sarvi;David Logan

  • Microsimulation of Freeway Ramp Merging Processes Under Congested Traffic Conditions

    M. Sarvi;M. Kuwahara

  • Continuum Theory for Pedestrian Traffic Flow: Local Route Choice Modelling and its Implications

    Serge P. Hoogendoorn;Femke van Wageningen-Kessels;Winnie Daamen;Dorine C. Duives

Frequent Co-Authors

Graham Currie
Graham Currie Monash University
Nirajan Shiwakoti
Nirajan Shiwakoti RMIT University
Martin Burd
Martin Burd Monash University
Avishai Ceder
Avishai Ceder Technion – Israel Institute of Technology
Abbas Rajabifard
Abbas Rajabifard University of Melbourne
Russell G. Thompson
Russell G. Thompson University of Melbourne
Alexa Delbosc
Alexa Delbosc Monash University
Michael Patriksson
Michael Patriksson Chalmers University of Technology
Ali Zavabeti
Ali Zavabeti RMIT University
Zuduo Zheng
Zuduo Zheng University of Queensland

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