World's Best Scientists 2026 revealed!
Moshe Ben-Akiva

Moshe Ben-Akiva

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Engineering and Technology
USA
2026

D-Index & Metrics

Engineering and Technology

D-Index
97
Citations
50085
World Ranking
169
National Ranking
62

Moshe Ben-Akiva 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 Moshe Ben-Akiva 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: 460 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Moshe Ben-Akiva 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 Moshe Ben-Akiva 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: 97 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award

Overview

Moshe Ben-Akiva is affiliated with MIT in the United States and has contributed extensively to the fields of engineering and social sciences, with a focus on transportation-related research. Their work spans 90 publications in engineering and 57 in social sciences, reflecting a cross-disciplinary approach towards transportation technologies and societal impacts.

The scientist's subfields of study emphasize transportation, automotive engineering, building and construction, marketing, and economics and econometrics. These areas indicate a broad engagement with both the technical and economic dimensions of transportation systems and infrastructure.

Moshe Ben-Akiva's research covers a range of topics including transportation and mobility innovations, transportation planning and optimization, urban and freight transport logistics, urban transport and accessibility, smart parking systems research, economic and environmental valuation, and sharing economy and platforms. These topics align with the evolving challenges and technologies in urban mobility and logistics.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Transportation Research Part A Policy and Practice
  • Transportation Research Part C Emerging Technologies
  • Transportation Research Record Journal of the Transportation Research Board
  • SSRN Electronic Journal

Recent papers authored or coauthored by Moshe Ben-Akiva demonstrate a focus on agent-based simulation, automated mobility, and policy-sensitive transport modeling. These papers include:

  • "Assessing the impacts of automated mobility-on-demand through agent-based simulation: A study of Singapore," 2020, Transportation Research Part A Policy and Practice
  • "SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions," 2020, Transportation Research Part E Logistics and Transportation Review
  • "Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach," 2020, Transportation
  • "A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability," 2022, Transportation Research Part B Methodological
  • "A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas," 2020, Transportation Science

Their collaborative network includes frequent coauthors such as Ravi Seshadri, André Romano Alho, Takanori Sakai, Carlos Lima Azevedo, and Simon Oh. The coauthor relationships indicate ongoing partnerships in significant transport modeling and simulation research.

Best Publications

  • Discrete Choice Analysis: Theory and Application to Travel Demand

    Moshe E. Ben-Akiva;Steven R. Lerman

  • Discrete Choice Methods and their Applications to Short Term Travel Decisions

    Moshe Ben-Akiva;Michel Bierlaire

  • Hybrid choice models : Progress and challenges

    Moshe Ben-Akiva;Daniel Mcfadden;Kenneth Train;Joan Walker

  • Activity-based disaggregate travel demand model system with activity schedules

    J.L Bowman;M.E Ben-Akiva

  • Dynamic network models and driver information systems

    Moshe Ben-Akiva;Andre De Palma;Kaysi Isam

  • Generalized random utility model

    Joan L. Walker;Moshe E. Ben-Akiva

  • Disaggregate travel and mobility choice models and measures of accessibility

    Moshe Ben-Akiva;Steven R. Lerman

  • Discrete choice models with latent choice sets

    Moshe Ben-Akiva;Bruno Boccara

  • Integrated driving behavior modeling

    Tomer Toledo;Haris N Koutsopoulos;Moshe E Ben-Akiva

  • STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS

    Moshe E Ben-Akiva

  • Extended Framework for Modeling Choice Behavior

    Moshe Ben-Akiva;Denis Bolduc;Philippe Delquie;Tommy Gärling

  • INCORPORATING RANDOM CONSTRAINTS IN DISCRETE MODELS OF CHOICE SET GENERATION

    Joffre Swait;Moshe Ben-Akiva

  • A THEORETICAL AND EMPIRICAL MODEL OF TRIP CHAINING BEHAVIOR

    Thomas Adler;Moshe Ben-Akiva

  • Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows

    K. Ashok;M. E. Ben-Akiva

  • SIMULATION LABORATORY FOR EVALUATING DYNAMIC TRAFFIC MANAGEMENT SYSTEMS

    Qi Yang;Haris N. Koutsopoulos;Moshe E. Ben-Akiva

  • Modeling integrated lane-changing behavior

    Tomer Toledo;Haris N. Koutsopoulos;Moshe E. Ben-Akiva

  • MODELLING INTER URBAN ROUTE CHOICE BEHAVIOUR

    Moshe Ben-Akiva;M J Bergman;A J Daly;R Ramaswamy

  • Moving from trip-based to activity-based measures of accessibility

    Xiaojing Dong;Moshe E. Ben-Akiva;John L. Bowman;Joan L. Walker

  • A micro-simulation model of shipment size and transport chain choice

    Gerard de Jong;Moshe E Ben-Akiva

  • Models of freeway lane changing and gap acceptance behavior

    K I Ahmed;M E Ben-Akiva;Harilaos N Koutsopoulos;R G Mishalani

  • Alternative Approaches for Real-Time Estimation and Prediction of Time-Dependent Origin--Destination Flows

    K. Ashok;M. E. Ben-Akiva

  • Evaluation of choice set generation algorithms for route choice models

    Shlomo Bekhor;Moshe E. Ben-Akiva;M. Scott Ramming

  • Integration of an Activity-based Model System and a Residential Location Model:

    Moshe Ben-Akiva;John L. Bowman

Frequent Co-Authors

Francisco C. Pereira
Francisco C. Pereira Technical University of Denmark
Haris N. Koutsopoulos
Haris N. Koutsopoulos Northeastern University
Constantinos Antoniou
Constantinos Antoniou Technical University of Munich
Tomer Toledo
Tomer Toledo Technion – Israel Institute of Technology
Michel Bierlaire
Michel Bierlaire École Polytechnique Fédérale de Lausanne
Joan L. Walker
Joan L. Walker University of California, Berkeley
Daniel McFadden
Daniel McFadden University of California, Berkeley
Takayuki Morikawa
Takayuki Morikawa Nagoya University
Samer Madanat
Samer Madanat New York University
Der-Horng Lee
Der-Horng Lee Zhejiang University

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