World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
59
Citations
15638
World Ranking
2312
National Ranking
156

Mohammed A. Quddus 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 Mohammed A. Quddus 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: 252 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Mohammed A. Quddus 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 Mohammed A. Quddus 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Mohammed A. Quddus is affiliated with Imperial College London in the United Kingdom and has contributed extensively to the field of Engineering, with a particular focus on areas related to transportation and safety. Their research spans various subfields including Safety, Risk, Reliability and Quality, Automotive Engineering, Transportation, Building and Construction, and Control and Systems Engineering.

Their work covers several key topics, among which are Traffic and Road Safety, Traffic Control and Management, Autonomous Vehicle Technology and Safety, Traffic Prediction and Management Techniques, Urban Transport and Accessibility, Transportation Planning and Optimization, and Human-Automation Interaction and Safety.

Quddus has published in a variety of academic venues, most notably Accident Analysis & Prevention, where they have 16 publications. Other frequent venues include Research in Transportation Business & Management, SSRN Electronic Journal, IEEE Transactions on Intelligent Transportation Systems, and Transportation Research Record Journal of the Transportation Research Board.

Recent papers authored or co-authored by Quddus demonstrate a focus on real-time traffic analysis, transport investment, and safety modeling. Examples include:

  • Predicting real-time traffic conflicts using deep learning, 2020, Accident Analysis & Prevention
  • Transport investment, railway accessibility and their dynamic impacts on regional economic growth, 2021, Research in Transportation Business & Management
  • Influence of familiarity with traffic regulations on delivery riders' e-bike crashes and helmet use: Two mediator ordered logit models, 2021, Accident Analysis & Prevention
  • Transfer learning for spatio-temporal transferability of real-time crash prediction models, 2021, Accident Analysis & Prevention
  • Modelling the impact of rail delays on passenger satisfaction, 2021, Transportation Research Part A Policy and Practice

Collaborative research is an integral part of their career, shown by frequent co-authors such as Nicolette Formosa, Mohit Kumar Singh, Xuesong Wang, Helai Huang, and Evita Papazikou.

Best Publications

  • Current map-matching algorithms for transport applications: State-of-the art and future research directions

    Mohammed A. Quddus;Washington Y. Ochieng;Robert B. Noland

  • The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives.

    Peter T. Savolainen;Fred L. Mannering;Dominique Lord;Mohammed Abdul Quddus

  • Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

    Christos Katrakazas;Mohammed A. Quddus;Wen-Hua Chen;Lipika Deka

  • APPLYING THE RANDOM EFFECT NEGATIVE BINOMIAL MODEL TO EXAMINE TRAFFIC ACCIDENT OCCURRENCE AT SIGNALIZED INTERSECTIONS

    Hoong Chor Chin;Mohammed Abdul Quddus

  • A general map matching algorithm for transport telematics applications

    Mohammed A. Quddus;Washington Yotto Ochieng;Lin Zhao;Robert B. Noland

  • An analysis of motorcycle injury and vehicle damage severity using ordered probit models.

    Mohammed Abdul Quddus;Robert B. Noland;Hoong Chor Chin

  • Modelling area-wide count outcomes with spatial correlation and heterogeneity: An analysis of London crash data

    Mohammed Abdul Quddus

  • Evaluating the safety impact of connected and autonomous vehicles on motorways.

    Alkis Papadoulis;Mohammed A. Quddus;Marianna Imprialou

  • A spatially disaggregate analysis of road casualties in England.

    Robert B. Noland;Mohammed Abdul Quddus

  • Impact of traffic congestion on road accidents: a spatial analysis of the M25 motorway in England

    Christopher Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • MAP-MATCHING IN COMPLEX URBAN ROAD NETWORKS

    Washington Y. Ochieng;Mohammed A. Quddus;Robert B. Noland

  • Road Traffic Congestion and Crash Severity: Econometric Analysis Using Ordered Response Models

    Mohammed A. Quddus;Chao Wang;Stephen G. Ison

  • Time series count data models: an empirical application to traffic accidents

    Mohammed Abdul Quddus

  • A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport

    Mohammed A. Quddus;Robert B. Noland;Washington Yotto Ochieng

  • The effect of traffic and road characteristics on road safety: A review and future research direction

    Chao Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • Mode choice of older and disabled people: a case study of shopping trips in London

    Jan-Dirk Schmocker;Mohammed Abdul Quddus;Robert B. Noland;Michael G. H. Bell

  • Developing an Enhanced Weight-Based Topological Map-Matching Algorithm for Intelligent Transport Systems

    Nagendra R. Velaga;Mohammed A. Quddus;Abigail L. Bristow

  • Shortest path and vehicle trajectory aided map-matching for low frequency GPS data

    Mohammed A. Quddus;Simon Washington

  • Shortest path and vehicle trajectory aided map-matching for low frequency GPS data

    Mohammaed Quddus;Simon Washington

  • Crash data quality for road safety research: Current state and future directions.

    Marianna Imprialou;Mohammed A. Quddus

  • Predicting real-time traffic conflicts using deep learning

    Nicolette Formosa;Mohammed Quddus;Stephen Ison;Mohamed Abdel-Aty

  • Predicting accident frequency at their severity levels and its application in site ranking using a two-stage mixed multivariate model

    Chao Wang;Mohammed Abdul Quddus;Stephen G. Ison

  • Congestion and safety: A spatial analysis of London

    Robert B. Noland Noland;Mohammed A. Quddus Quddus

Frequent Co-Authors

Robert B. Noland
Robert B. Noland Rutgers, The State University of New Jersey
Washington Y. Ochieng
Washington Y. Ochieng Imperial College London
Stephen Ison
Stephen Ison De Montfort University
Xuesong Wang
Xuesong Wang Shanghai Mental Health Center
Wen-Hua Chen
Wen-Hua Chen Loughborough University
Michael G.H. Bell
Michael G.H. Bell University of Sydney
David M Levinson
David M Levinson University of Sydney
John W. Polak
John W. Polak Imperial College London
Daniel J. Graham
Daniel J. Graham Imperial College London
Stephane Hess
Stephane Hess University of Leeds

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