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Pavlos S. Kanaroglou

Pavlos S. Kanaroglou

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
11126
World Ranking
3389
National Ranking
140

Pavlos S. Kanaroglou 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 Pavlos S. Kanaroglou 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Pavlos S. Kanaroglou 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 Pavlos S. Kanaroglou 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

Pavlos S. Kanaroglou was affiliated with McMaster University in Canada. Their work primarily focused on topics related to transportation, particularly addressing vehicle emissions, transportation planning, and urban transport accessibility.

The main fields of study in which they contributed included:

  • Social Sciences
  • Engineering

Their subfields of study reflected a specialization in transportation aspects:

  • Transportation
  • Automotive Engineering

The main topics covered by their research were:

  • Vehicle emissions and performance
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility

Among their recent scholarly contributions was the paper titled "Emissions From Light-Duty Vehicles in Hamilton-Wentworth Under Policy Scenarios: Applications of an Integrated Model", published in 2020 in the venue AgEcon Search (University of Minnesota, USA). This work was part of their exploration of the environmental and policy impacts related to transportation emissions.

They collaborated frequently with colleagues, notably including:

  • Will Anderson
  • Robert B. South

Their publications appeared predominantly in the journal AgEcon Search (University of Minnesota, USA).

Best Publications

  • A review and evaluation of intraurban air pollution exposure models

    Michael Jerrett;Altaf Arain;Pavlos Kanaroglou;Bernardo Beckerman

  • Urban Form, Energy and the Environment: A Review of Issues, Evidence and Policy:

    William P. Anderson;Pavlos S. Kanaroglou;Eric J. Miller

  • Household demand and willingness to pay for clean vehicles

    Dimitris Potoglou;Pavlos S. Kanaroglou

  • Electric buses: A review of alternative powertrains

    Moataz Mahmoud;Ryan Garnett;Mark Ferguson;Pavlos Kanaroglou

  • Modelling car ownership in urban areas: a case study of Hamilton, Canada

    Dimitris Potoglou;Pavlos S. Kanaroglou

  • Establishing an air pollution monitoring network for intra-urban population exposure assessment: A location-allocation approach

    Pavlos S. Kanaroglou;Michael Jerrett;Jason Morrison;Bernardo Beckerman

  • Modeling the intraurban variability of ambient traffic pollution in Toronto, Canada.

    M Jerrett;M A Arain;P Kanaroglou;B Beckerman

  • Dynamic Model of Peak Period Traffic Congestion with Elastic Arrival Rates

    Moshe E. Ben-Akiva;André de Palma;Pavlos Kanaroglou

  • Travel behavior within Canada’s older population: a cohort analysis

    K. Bruce Newbold;Darren M. Scott;Jamie E.L. Spinney;Pavlos Kanaroglou

  • Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada:

    Antonio Paez;Darren M Scott;Dimitris Potoglou;Pavlos Kanaroglou

  • Urban Form and Household Activity‐Travel Behavior

    Ron N. Buliung;Pavlos S. Kanaroglou

  • A GIS toolkit for exploring geographies of household activity/travel behavior

    Ronald N. Buliung;Pavlos S. Kanaroglou

  • A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region

    Christopher Donald Higgins;Pavlos S. Kanaroglou

  • AN ACTIVITY-EPISODE GENERATION MODEL THAT CAPTURES INTERACTIONS BETWEEN HOUSEHOLD HEADS: DEVELOPMENT AND EMPIRICAL ANALYSIS

    Darren M. Scott;Pavlos S. Kanaroglou

  • Three decades of urban growth in the city of Shiraz, Iran: A remote sensing and geographic information systems application

    Mahdi Sabet Sarvestani;Ab. Latif Ibrahim;Pavlos Kanaroglou

  • Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models

    Matthew D. Adams;Pavlos S. Kanaroglou

  • Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach

    Moataz Mohamed;Christopher Donald Higgins;Mark Ferguson;Pavlos Kanaroglou

  • Impacts of commuting efficiency on congestion and emissions: case of the Hamilton CMA, Canada

    Darren M Scott;Pavlos S Kanaroglou;William P Anderson

  • How open are Canadian households to electric vehicles? A national latent class choice analysis with willingness-to-pay and metropolitan characterization

    Mark Ferguson;Moataz Mohamed;Christopher Donald Higgins;Elnaz Abotalebi

  • A Land Use Regression Model for Predicting Ambient Concentrations of Nitrogen Dioxide in Hamilton, Ontario, Canada

    Talar Sahsuvaroglu;Altaf Arain;Pavlos Kanaroglou;Norm Finkelstein

  • All minutes are not equal: travel time and the effects of congestion on commute satisfaction in Canadian cities

    Christopher D. Higgins;Matthias N. Sweet;Pavlos S. Kanaroglou

  • Logistics land use and the city: A spatial–temporal modeling approach

    Clarence Woudsma;John F. Jensen;Pavlos Kanaroglou;Hanna Maoh

  • Forty years of modelling rapid transit’s land value uplift in North America: moving beyond the tip of the iceberg

    Christopher D. Higgins;Pavlos S. Kanaroglou

Frequent Co-Authors

Darren M. Scott
Darren M. Scott McMaster University
Antonio Páez
Antonio Páez McMaster University
Michael Jerrett
Michael Jerrett University of California, Los Angeles
Ron Buliung
Ron Buliung University of Toronto
Susan J. Elliott
Susan J. Elliott University of Waterloo
K. Bruce Newbold
K. Bruce Newbold McMaster University
André de Palma
André de Palma CY Cergy Paris University
Ross E. G. Upshur
Ross E. G. Upshur University of Toronto
Parameswaran Nair
Parameswaran Nair McMaster University

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