World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
4474
World Ranking
9027
National Ranking
448

Ashish Bhaskar 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 Ashish Bhaskar 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: 224 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Ashish Bhaskar 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 Ashish Bhaskar 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Ashish Bhaskar is affiliated with the Queensland University of Technology in Australia. Their research predominantly lies at the intersection of engineering and social sciences, with a focus on transportation systems and related fields.

Their academic contributions cover several main fields of study:

  • Engineering
  • Social Sciences

Within these broad areas, Bhaskar's work engages with multiple subfields including:

  • Transportation
  • Building and Construction
  • Control and Systems Engineering
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

The scientist's research themes emphasize transportation and mobility, specifically:

  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Traffic control and management
  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility
  • Traffic and Road Safety
  • Transportation and Mobility Innovations

Ashish Bhaskar has published extensively in various academic venues. Frequent publication venues include:

  • SSRN Electronic Journal
  • Transportation Research Part C Emerging Technologies
  • Journal of Intelligent Transportation Systems
  • Accident Analysis & Prevention
  • Analytic Methods in Accident Research

Among the recent papers authored or co-authored by Bhaskar are:

  • "A systematic mapping review of surrogate safety assessment using traffic conflict techniques", 2021, Accident Analysis & Prevention
  • "Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors", 2021, Transportation Research Part C Emerging Technologies
  • "Transit OD matrix estimation using smartcard data: Recent developments and future research challenges", 2021, Transportation Research Part C Emerging Technologies
  • "A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts", 2021, Analytic Methods in Accident Research
  • "Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations", 2020, Analytic Methods in Accident Research

Bhaskar's research has often been conducted in collaboration with a group of frequent co-authors, such as:

  • Md. Mazharul Haque
  • Edward Chung
  • Zuduo Zheng
  • Krishna N.S. Behara
  • Chintan Advani

Best Publications

  • A systematic mapping review of surrogate safety assessment using traffic conflict techniques.

    Ashutosh Arun;Mazharul Haque;Ashish Bhaskar;Simon Washington

  • Passenger Segmentation Using Smart Card Data

    Le Minh Kieu;Ashish Bhaskar;Edward Chung

  • Real-time traffic state estimation in urban corridors from heterogeneous data

    Alfredo Nantes;Dong Ngoduy;Ashish Bhaskar;Marc Miska

  • Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors

    Anshuman Sharma;Anshuman Sharma;Zuduo Zheng;Jiwon Kim;Ashish Bhaskar

  • A modified Density-Based Scanning Algorithm with Noise for spatial travel pattern analysis from Smart Card AFC data

    L.-M. Kieu;A. Bhaskar;Edward Chin Shin Chung

  • Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks

    Ashish Bhaskar;Edward Chung;André-Gilles Dumont

  • Optimal Vehicle Trajectory Planning With Control Constraints and Recursive Implementation for Automated On-Ramp Merging

    Yue Zhou;Michael E. Cholette;Ashish Bhaskar;Edward Chung

  • Public Transport Travel-Time Variability Definitions and Monitoring

    L.-M. Kieu;A. Bhaskar;Edward Chin Shin Chung

  • Modelling car-following behaviour of connected vehicles with a focus on driver compliance

    Anshuman Sharma;Zuduo Zheng;Ashish Bhaskar;Md. Mazharul Haque

  • A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts

    Ashutosh Arun;Md. Mazharul Haque;Ashish Bhaskar;Simon Washington

  • Transit OD matrix estimation using smartcard data: Recent developments and future research challenges

    Etikaf Hussain;Ashish Bhaskar;Edward Chung

  • Is more always better? The impact of vehicular trajectory completeness on car-following model calibration and validation

    Anshuman Sharma;Zuduo Zheng;Ashish Bhaskar

  • A self-adaptive evolutionary algorithm for dynamic vehicle routing problems with traffic congestion

    Nasser R. Sabar;Ashish Bhaskar;Edward Chung;Ayad Turky

  • Bluetooth and Wi-Fi MAC address based crowd data collection and monitoring : benefits, challenges and enhancement

    Naeim Abedi;Ashish Bhaskar;Edward Chung

  • Macroscopic Fundamental Diagram for Brisbane, Australia: Empirical Findings on Network Partitioning and Incident Detection

    Takahiro Tsubota;Ashish Bhaskar;Edward Chung

  • Arterial traffic congestion analysis using bluetooth duration data

    Takahiro Tsubota;Ashish Bhaskar;Edward Chung;Romain Billot

  • Urban traffic state estimation: Fusing point and zone based data

    Ashish Bhaskar;Takahiro Tsubota;Le Minh Kieu;Edward Chung

  • A state-constrained optimal control based trajectory planning strategy for cooperative freeway mainline facilitating and on-ramp merging maneuvers under congested traffic

    Yue Zhou;Edward Chung;Ashish Bhaskar;Michael E. Cholette

  • Is an informed driver a better decision maker? A grouped random parameters with heterogeneity-in-means approach to investigate the impact of the connected environment on driving behaviour in safety-critical situations

    Anshuman Sharma;Zuduo Zheng;Jiwon Kim;Ashish Bhaskar

  • Optimisation of lane-changing advisory at the motorway lane drop bottleneck

    Chunbo Zhang;Chunbo Zhang;Nasser R. Sabar;Edward Chung;Ashish Bhaskar

  • Empirical evaluation of Bluetooth and Wifi scanning for road transport

    Michael Abbott-Jard;Harpal Shah;Ashish Bhaskar

  • A pattern recognition algorithm for assessing trajectory completeness

    Anshuman Sharma;Zuduo Zheng;Ashish Bhaskar

  • A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance

    Krishna N.S. Behara;Ashish Bhaskar;Edward Chung

  • Estimating and Comparing Response Times in Traditional and Connected Environments

    Anshuman Sharma;Zuduo Zheng;Jiwon Kim;Ashish Bhaskar

Frequent Co-Authors

Zuduo Zheng
Zuduo Zheng University of Queensland
Md. Mazharul Haque
Md. Mazharul Haque Queensland University of Technology
Pierre Borgnat
Pierre Borgnat École Normale Supérieure de Lyon
Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Prasad Yarlagadda
Prasad Yarlagadda Queensland University of Technology
Simon Washington
Simon Washington Queensland University of Technology
Oded Cats
Oded Cats Delft University of Technology
Tarek Sayed
Tarek Sayed University of British Columbia
Nikolas Geroliminis
Nikolas Geroliminis École Polytechnique Fédérale de Lausanne
Yuefeng Li
Yuefeng Li Queensland University of Technology

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