World's Best Scientists 2026 revealed!
Matthew J. Roorda

Matthew J. Roorda

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7060
World Ranking
6947
National Ranking
282

Matthew J. Roorda 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 Matthew J. Roorda 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: 183 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Matthew J. Roorda 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 Matthew J. Roorda 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

Matthew J. Roorda is affiliated with the University of Toronto in Canada. Their research focuses primarily on the fields of Engineering and Social Sciences, with a significant emphasis on transportation and logistics.

The main areas of study include:

  • Engineering
  • Social Sciences

Within these broader fields, Roorda's work covers subfields such as:

  • Building and Construction
  • Automotive Engineering
  • Transportation
  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

The scientist's research topics prominently feature:

  • Urban and Freight Transport Logistics
  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Smart Parking Systems Research
  • Maritime Ports and Logistics
  • Vehicle Routing Optimization Methods
  • Vehicle emissions and performance

Roorda has authored multiple papers including:

  • "Urban rail service design for collaborative passenger and freight transport", 2021, Transportation Research Part E Logistics and Transportation Review
  • "Stochastic Last-Mile Delivery with Crowd-Shipping and Mobile Depots", 2021, Transportation Science
  • "Optimal traffic management policies for mixed human and automated traffic flows", 2020, Transportation Research Part A Policy and Practice
  • "The Plugin Hybrid Electric Vehicle routing problem: A power-management strategy model", 2020, Transportation Research Part C Emerging Technologies
  • "Quantifying the air quality and health benefits of greening freight movements", 2020, Environmental Research

Frequent co-authors collaborating with Roorda include:

  • Mehdi Nourinejad
  • Usman Ahmed
  • Sina Bahrami
  • Marianne Hatzopoulou
  • Kianoush Mousavi

Roorda regularly publishes in several scientific journals, with notable publication venues being:

  • SSRN Electronic Journal
  • Transportation Research Record Journal of the Transportation Research Board
  • Transportation Research Part E Logistics and Transportation Review
  • Transportation Research Part A Policy and Practice
  • Transportation Research Part C Emerging Technologies

Best Publications

  • PROTOTYPE MODEL OF HOUSEHOLD ACTIVITY-TRAVEL SCHEDULING

    Eric J. Miller;Matthew J. Roorda

  • Modelling the impact of weather conditions on active transportation travel behaviour

    Sheyda Saneinejad;Matthew J. Roorda;Christopher Kennedy

  • Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal

    Antonio Páez;Ruben Gertes Mercado;Steven Farber;Catherine Morency

  • A conceptual framework for agent-based modelling of logistics services

    Matthew J. Roorda;Rinaldo Cavalcante;Stephanie McCabe;Helen Kwan

  • Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments

    Catherine Morency;Antonio Paez;Matthew J. Roorda;Ruben Mercado

  • Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents.

    Antonio Paez;Ruben G Mercado;Steven Farber;Catherine Morency

  • Validation of TASHA : A 24-h activity scheduling microsimulation model

    Matthew J Roorda;Eric J Miller;Khandker Mohammed Nurul Habib

  • A Tour-Based Model of Travel Mode Choice

    Eric J. Miller;Matthew J. Roorda;Juan Antonio Carrasco

  • Using GIS for Evaluation of Neighborhood Pedestrian Accessibility

    Lisa Aultman-Hall;Matthew Roorda;Brian W. Baetz

  • Vehicle relocation and staff rebalancing in one-way carsharing systems

    Mehdi Nourinejad;Sirui Zhu;Sina Bahrami;Matthew J. Roorda

  • Designing parking facilities for autonomous vehicles

    Mehdi Nourinejad;Sina Bahrami;Matthew J. Roorda

  • A dynamic carsharing decision support system

    Mehdi Nourinejad;Matthew J. Roorda

  • Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)

    Ron N. Buliung;Matthew J. Roorda;Tarmo K. Remmel

  • Agent based model for dynamic ridesharing

    Mehdi Nourinejad;Matthew J. Roorda

  • Built Environment and School Travel Mode Choice in Toronto, Canada

    Raktim Mitra;Ron N Buliung;Matthew J Roorda

  • Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach

    Matthew J. Roorda;Antonio Páez;Catherine Morency;Ruben Mercado

  • Development of simulated driving cycles for light, medium, and heavy duty trucks: Case of the Toronto Waterfront Area

    Glareh Amirjamshidi;Matthew J. Roorda

  • Truck parking in urban areas: Application of choice modelling within traffic microsimulation

    Mehdi Nourinejad;Adam Wenneman;Khandker Nurul Habib;Matthew J. Roorda

  • A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling

    Chris Bachmann;Baher Abdulhai;Matthew J. Roorda;Behzad Moshiri

  • Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation

    Chris Bachmann;Matthew J. Roorda;Baher Abdulhai;Behzad Moshiri

  • An integrated model of vehicle transactions, activity scheduling and mode choice

    Matthew J. Roorda;Juan A. Carrasco;Eric J. Miller

  • Urban rail service design for collaborative passenger and freight transport

    Zhujun Li;Zhujun Li;Amer Shalaby;Matthew J. Roorda;Baohua Mao

  • Impacts of driving patterns on tank-to-wheel energy use of plug-in hybrid electric vehicles

    Leon Raykin;Matthew J. Roorda;Heather L. MacLean

  • COMPUTERIZED HOUSEHOLD ACTIVITY-SCHEDULING SURVEY FOR TORONTO, CANADA, AREA: DESIGN AND ASSESSMENT

    Sean T. Doherty;Erika Nemeth;Matthew Roorda;Eric J. Miller

  • Truck Parking In Urban Areas: Application of Choice Modeling Within Traffic Microsimulation

    Mehdi Nourinejad;Adam Wenneman;Khandker Nurul Habib;Matthew J Roorda

Frequent Co-Authors

Eric J. Miller
Eric J. Miller University of Toronto
Antonio Páez
Antonio Páez McMaster University
Khandker Nurul Habib
Khandker Nurul Habib University of Toronto
Christopher Kennedy
Christopher Kennedy University of Victoria
Steven Farber
Steven Farber University of Toronto
Amer Shalaby
Amer Shalaby University of Toronto
Heather L. MacLean
Heather L. MacLean University of Toronto
Marianne Hatzopoulou
Marianne Hatzopoulou University of Toronto
Ron Buliung
Ron Buliung University of Toronto
Brian W. Baetz
Brian W. Baetz McMaster University

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