World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5087
World Ranking
8735
National Ranking
352

Nicolas Saunier 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 Nicolas Saunier 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: 223 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.

Nicolas Saunier 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 Nicolas Saunier 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: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Nicolas Saunier is affiliated with Polytechnique Montréal in Canada. Their research primarily spans the fields of Engineering and Computer Science, with significant focus on subfields such as Computer Vision and Pattern Recognition, Transportation, Safety, Risk, Reliability and Quality, Building and Construction, and Signal Processing.

Their work covers a range of topics, including Video Surveillance and Tracking Methods, Traffic Prediction and Management Techniques, Traffic and Road Safety, Urban Transport and Accessibility, Transportation Planning and Optimization, Autonomous Vehicle Technology and Safety, and Advanced Neural Network Applications.

Frequent coauthors collaborating with Nicolas Saunier include Guillaume-Alexandre Bilodeau, Xinyu Chen, Luis Miranda-Moreno, Lijun Sun, and Hughes Perreault.

Publication venues where Nicolas Saunier has frequently disseminated their work include:

  • arXiv (Cornell University)
  • Transportation research procedia
  • PolyPublie (École Polytechnique de Montréal)
  • Accident Analysis & Prevention
  • SSRN Electronic Journal

Recent papers authored or coauthored by Nicolas Saunier include:

  • Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation, 2021, arXiv (Cornell University)
  • Scalable low-rank tensor learning for spatiotemporal traffic data imputation, 2021, Transportation Research Part C Emerging Technologies
  • Study of automated shuttle interactions in city traffic using surrogate measures of safety, 2021, Transportation Research Part C Emerging Technologies
  • Do stop-signs improve the safety for all road users? A before-after study of stop-controlled intersections using video-based trajectories and surrogate measures of safety, 2022, Accident Analysis & Prevention
  • FFAVOD: Feature fusion architecture for video object detection, 2021, Pattern Recognition Letters

Best Publications

  • A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

    Mohamed Gomaa Mohamed;Nicolas Saunier;Luis F. Miranda-Moreno;Satish V. Ukkusuri

  • A feature-based tracking algorithm for vehicles in intersections

    N. Saunier;T. Sayed

  • Automated Analysis of Pedestrian-Vehicle Conflicts Using Video Data

    Karim Ismail;Tarek Sayed;Nicolas Saunier;Connie Lim

  • The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal

    Marilyne Brosseau;Sohail Zangenehpour;Nicolas Saunier;Luis F Miranda-Moreno

  • Large-Scale Automated Analysis of Vehicle Interactions and Collisions

    Nicolas Saunier;Tarek Sayed;Karim Ismail

  • Automated Analysis of Pedestrian–Vehicle Conflicts: Context for Before-and-After Studies

    Karim Ismail;Karim Ismail;Tarek Sayed;Nicolas Saunier

  • Probabilistic Framework for Automated Analysis of Exposure to Road Collisions

    Nicolas Saunier;Tarek A Sayed

  • Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

    Xinyu Chen;Mengying Lei;Nicolas Saunier;Lijun Sun

  • Urban Tracker: Multiple object tracking in urban mixed traffic

    Jean-Philippe Jodoin;Guillaume-Alexandre Bilodeau;Nicolas Saunier

  • Automated Analysis of Road Safety with Video Data

    Nicolas Saunier;Tarek A Sayed

  • A novel framework to evaluate pedestrian safety at non-signalized locations.

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

  • Change Detection in Feature Space Using Local Binary Similarity Patterns

    Guillaume-Alexandre Bilodeau;Jean-Philippe Jodoin;Nicolas Saunier

  • Large-scale automated proactive road safety analysis using video data

    Paul St-Aubin;Nicolas Saunier;Luis Miranda-Moreno

  • Methodologies for Aggregating Indicators of Traffic Conflict

    Karim Ismail;Tarek Sayed;Nicolas Saunier

  • Are signalized intersections with cycle tracks safer? A case-control study based on automated surrogate safety analysis using video data.

    Sohail Zangenehpour;Jillian Strauss;Luis F. Miranda-Moreno;Nicolas Saunier

  • Probabilistic Collision Prediction for Vision-Based Automated Road Safety Analysis

    N. Saunier;T. Sayed;C. Lim

  • A methodology for precise camera calibration for data collection applications in urban traffic scenes

    Unknown

  • Flexible, Mobile Video Camera System and Open Source Video Analysis Software for Road Safety and Behavioral Analysis:

    Stewart Jackson;Luis F Miranda-Moreno;Paul St-Aubin;Nicolas Saunier

  • Automated classification based on video data at intersections with heavy pedestrian and bicycle traffic: Methodology and application

    Sohail Zangenehpour;Luis F. Miranda-Moreno;Nicolas Saunier

  • Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data

    Ting Fu;Ting Fu;Weichao Hu;Weichao Hu;Luis Miranda-Moreno;Nicolas Saunier

  • Vehicle manoeuvers as surrogate safety measures: Extracting data from the gps-enabled smartphones of regular drivers

    Joshua Stipancic;Luis Miranda-Moreno;Nicolas Saunier

  • Analysis of Pedestrian Travel with Static Bluetooth Sensors

    Yegor Malinovskiy;Nicolas Saunier;Yinhai Wang

  • A Novel Framework to Evaluate Pedestrian Safety at Non-Signalized Locations Using Video-Based Trajectory Data

    Ting Fu;Luis Miranda-Moreno;Nicolas Saunier

  • Automated Classification Based on Video Data at Intersections with Heavy Pedestrian and Bicycle Traffic: Methodology and Application

    S Zangenehpour;Miranda-Moreno;Nicolas Saunier

Frequent Co-Authors

Luis F Miranda-Moreno
Luis F Miranda-Moreno McGill University
Tarek Sayed
Tarek Sayed University of British Columbia
Tom Brijs
Tom Brijs Hasselt University
Greg Mori
Greg Mori Simon Fraser University
Geert Wets
Geert Wets Hasselt University
Yinhai Wang
Yinhai Wang University of Washington
Marianne Hatzopoulou
Marianne Hatzopoulou University of Toronto
Satish V. Ukkusuri
Satish V. Ukkusuri Purdue University West Lafayette

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