World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
72
Citations
31199
World Ranking
889
National Ranking
303

Kara M. Kockelman 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 Kara M. Kockelman 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: 356 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Kara M. Kockelman 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 Kara M. Kockelman 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: 72 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Kara M. Kockelman is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the fields of Engineering and Social Sciences, with a strong focus on Transportation and its related subfields.

The main fields of study for this scientist include:

  • Engineering
  • Social Sciences

Within these fields, the notable subfields of study are:

  • Transportation
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Building and Construction
  • Control and Systems Engineering

Their research covers a range of topics that center on transportation systems and technological innovations. Key research topics include:

  • Transportation and Mobility Innovations
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility
  • Electric Vehicles and Infrastructure
  • Traffic Control and Management
  • Traffic and Road Safety
  • Advanced Battery Technologies Research

Kockelman has been published frequently in a variety of academic venues. The most common publication venues are:

  • Transportation Research Record Journal of the Transportation Research Board
  • Transportation Planning and Technology
  • Research in Transportation Economics
  • Transportation Research Part D Transport and Environment
  • Findings

Recent notable papers include:

  • "Costs and Benefits of Electrifying and Automating Bus Transit Fleets" (2020), Sustainability
  • "Spatial variation in shared ride-hail trip demand and factors contributing to sharing: Lessons from Chicago" (2021), Journal of Transport Geography
  • "Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide" (2020), Transportation Research Part A Policy and Practice
  • "Use of Shared Automated Vehicles for First-Mile Last-Mile Service: Micro-Simulation of Rail-Transit Connections in Austin, Texas" (2020), Transportation Research Record Journal of the Transportation Research Board
  • "First-Mile-Last-Mile Collector-Distributor System using Shared Autonomous Mobility" (2020), Transportation Research Record Journal of the Transportation Research Board

Kara M. Kockelman has collaborated frequently with several researchers, including:

  • Krishna Murthy Gurumurthy
  • Yantao Huang
  • Matthew D. Dean
  • Natalia Zuniga-Garcia
  • Jooyong Lee

Best Publications

  • TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN

    Robert Cervero;Kara M. Kockelman

  • Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

    Daniel J Fagnant;Kara M. Kockelman

  • The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

    Daniel J. Fagnant;Kara M. Kockelman

  • Assessing public opinions of and interest in new vehicle technologies: An Austin perspective

    Prateek Bansal;Kara M. Kockelman;Amit Singh

  • Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies

    Prateek Bansal;Kara M. Kockelman

  • Travel Behavior as Function of Accessibility, Land Use Mixing, and Land Use Balance: Evidence from San Francisco Bay Area

    Kara Maria Kockelman

  • Driver injury severity: an application of ordered probit models.

    Kara Maria Kockelman;Young-Jun Kweon

  • Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas

    Daniel J. Fagnant;Kara M. Kockelman

  • Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions

    T. Donna Chen;Kara M. Kockelman;Josiah P. Hanna

  • A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods

    Junlai Ma;Kara Maria Kockelman;Paul Damien

  • Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market

    Daniel J. Fagnant;Kara M. Kockelman;Prateek Bansal

  • Carsharing’s life-cycle impacts on energy use and greenhouse gas emissions

    T. Donna Chen;Kara M. Kockelman

  • Are we ready to embrace connected and self-driving vehicles? A case study of Texans

    Prateek Bansal;Kara M. Kockelman

  • A general framework for modeling shared autonomous vehicles with dynamic network-loading and dynamic ride-sharing application

    Michael W. Levin;Kara M. Kockelman;Stephen D. Boyles;Tianxin Li

  • The propagation of uncertainty through travel demand models: An exploratory analysis

    Yong Zhao;Kara Maria Kockelman

  • Credit-based congestion pricing: a policy proposal and the public’s response ☆

    Kara M. Kockelman;Sukumar Kalmanje

  • Overall injury risk to different drivers: combining exposure, frequency, and severity models

    Young-Jun Kweon;Kara Maria Kockelman

  • Locating electric vehicle charging stations

    T. Chen;Kara Kockelman;Moby Khan

  • A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods

    Yiyi Wang;Kara Maria Kockelman

  • Analysis of large truck crash severity using heteroskedastic ordered probit models

    Jason D. Lemp;Kara Maria Kockelman;Avinash Unnikrishnan

  • THE ELECTRIC VEHICLE CHARGING STATION LOCATION PROBLEM: A PARKING-BASED ASSIGNMENT METHOD FOR SEATTLE

    T. Donna Chen;Kara M. Kockelman;William J. Murray;Moby Khan

  • Economic Effects of Automated Vehicles

    Lewis M. Clements;Kara M. Kockelman

Frequent Co-Authors

S. Travis Waller
S. Travis Waller University of New South Wales
Susan L Handy
Susan L Handy University of California, Davis
Chandra R. Bhat
Chandra R. Bhat The University of Texas at Austin
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette
Carlos H. Caldas
Carlos H. Caldas The University of Texas at Austin
Robert Cervero
Robert Cervero University of California, Berkeley
Peter Stone
Peter Stone The University of Texas at Austin
Shlomo Bekhor
Shlomo Bekhor Technion – Israel Institute of Technology

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