World's Best Scientists 2026 revealed!
Haris N. Koutsopoulos

Haris N. Koutsopoulos

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
11847
World Ranking
1953
National Ranking
626

Haris N. Koutsopoulos 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 Haris N. Koutsopoulos 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: 257 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Haris N. Koutsopoulos 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 Haris N. Koutsopoulos 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: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Haris N. Koutsopoulos is affiliated with Northeastern University in the United States and has a research portfolio focused primarily on engineering and social sciences with strong emphasis on transportation. Their scholarly contributions prominently span the domain of transportation planning, optimization, and management within urban environments.

The scientist's work extensively covers topics such as:

  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Human Mobility and Location-Based Analysis
  • Transportation and Mobility Innovations
  • Urban Transport and Accessibility
  • Railway Systems and Energy Efficiency
  • Traffic control and management

Koutsopoulos's research intersects several subfields including:

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

Their publications have appeared in multiple venues, with a strong presence in:

  • arXiv (Cornell University)
  • Transportation Research Record Journal of the Transportation Research Board
  • SSRN Electronic Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • Transportation Research Part C Emerging Technologies

Some notable recent papers include:

  • Dynamic Origin-Destination Prediction in Urban Rail Systems: A Multi-Resolution Spatio-Temporal Deep Learning Approach, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Discovering latent activity patterns from transit smart card data: A spatiotemporal topic model, 2020, Transportation Research Part C Emerging Technologies
  • Deep learning for short-term origin-destination passenger flow prediction under partial observability in urban railway systems, 2022, Neural Computing and Applications
  • Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Frequent collaborators include:

  • Jinhua Zhao
  • Zhenliang Ma
  • Baichuan Mo
  • Shenhao Wang
  • Dingyi Zhuang

Best Publications

  • Integrated driving behavior modeling

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

  • Travel time estimation for urban road networks using low frequency probe vehicle data

    Erik Jenelius;Haris N. Koutsopoulos

  • 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

  • DynaMIT: a simulation-based system for traffic prediction

    Moshe Ben-Akiva;Michel Bierlaire;Haris Koutsopoulos;Rabi Mishalani

  • IBM infosphere streams for scalable, real-time, intelligent transportation services

    Alain Biem;Eric Bouillet;Hanhua Feng;Anand Ranganathan

  • Network state estimation and prediction for real-time traffic management

    Moshe Ben-Akiva;Michel Bierlaire;Didier Burton;Haris N. Koutsopoulos

  • Hybrid Mesoscopic-Microscopic Traffic Simulation

    Wilco Burghout;Haris N Koutsopoulos;Ingmar Andreasson

  • Inferring patterns in the multi-week activity sequences of public transport users

    Gabriel Goulet Langlois;Haris N Koutsopoulos;Jinhua Zhao

  • Nonlinear Kalman Filtering Algorithms for On-Line Calibration of Dynamic Traffic Assignment Models

    C. Antoniou;M. Ben-Akiva;H.N. Koutsopoulos

  • DEVELOPMENT OF A ROUTE GUIDANCE GENERATION SYSTEM FOR REAL-TIME APPLICATION

    Moshe Ben-Akiva;Michel Bierlaire;Jon Bottom;Haris Koutsopoulos

  • Calibration of microscopic traffic simulation models: Methods and application

    Ramachandran Balakrishna;Constantinos Antoniou;Moshe E Ben-Akiva;Haris N Koutsopoulos

  • Real Time Simulation of Traffic Demand-Supply Interactions within DynaMIT

    Moshe Ben-Akiva;Michel Bierlaire;Haris N. Koutsopoulos;Rabi Mishalani

  • Dynamic data-driven local traffic state estimation and prediction

    Constantinos Antoniou;Haris N. Koutsopoulos;George Yannis

  • CALIBRATION AND VALIDATION OF MICROSCOPIC TRAFFIC SIMULATION TOOLS: STOCKHOLM CASE STUDY

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

  • Non-parametric estimation of route travel time distributions from low-frequency floating car data

    Mahmood Rahmani;Erik Jenelius;Haris N. Koutsopoulos;Haris N. Koutsopoulos

  • Path inference from sparse floating car data for urban networks

    Mahmood Rahmani;Haris N. Koutsopoulos

  • Real-time holding control for high-frequency transit with dynamics

    G.E. Sánchez-Martínez;H.N. Koutsopoulos;H.N. Koutsopoulos;N.H.M. Wilson

  • Impacts of Holding Control Strategies on Transit Performance: Bus Simulation Model Analysis

    Oded Cats;Anahid Nabavi Larijani;Haris N Koutsopoulos;Wilco Burghout

  • INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE

    Isam Kaysi;Moshe Ben-Akiva;Haris Koutsopoulos

  • Non-linear kalman filtering algorithms for on-line calibration of dynamic traffic assignment models

    C. Antoniou;M. Ben-Akiva;H.N. Koutsopoulos

Frequent Co-Authors

Constantinos Antoniou
Constantinos Antoniou Technical University of Munich
Tomer Toledo
Tomer Toledo Technion – Israel Institute of Technology
Oded Cats
Oded Cats Delft University of Technology
Michel Bierlaire
Michel Bierlaire École Polytechnique Fédérale de Lausanne
Leo Kroon
Leo Kroon Erasmus University Rotterdam
Luis Ferreira
Luis Ferreira University of Queensland
George Yannis
George Yannis National Technical University of Athens
Anand Ranganathan
Anand Ranganathan Unscrambl Inc.

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