World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7844
World Ranking
7224
National Ranking
153

Fawzi Nashashibi 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 Fawzi Nashashibi 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: 207 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Fawzi Nashashibi 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 Fawzi Nashashibi 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Fawzi Nashashibi is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily focuses on the intersection of engineering and computer science, with significant contributions to autonomous vehicle technology, traffic control, and related fields.

The scientist's main areas of study include:

  • Engineering
  • Computer Science

Within these broader disciplines, key subfields of their work cover:

  • Automotive Engineering
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

The primary topics explored in their research are:

  • Autonomous Vehicle Technology and Safety
  • Traffic control and management
  • Video Surveillance and Tracking Methods
  • Vehicle Dynamics and Control Systems
  • Indoor and Outdoor Localization Technologies
  • Robotics and Sensor-Based Localization
  • Vehicular Ad Hoc Networks (VANETs)

Fawzi Nashashibi has contributed to a number of academic papers, including:

  • Attention Based Vehicle Trajectory Prediction, 2020, IEEE Transactions on Intelligent Vehicles
  • Advances in Youla-Kucera parametrization: A Review, 2020, Annual Reviews in Control
  • Multi-Model Adaptive Control for CACC Applications, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Speed Control Optimization for Autonomous Vehicles with Metaheuristics, 2020, Electronics
  • A Two-Stage Real-Time Path Planning: Application to the Overtaking Manuever, 2020, IEEE Access

Frequent collaborative partners in their research include:

  • Vicente Milanés
  • Lingxi Li
  • Sergiu Nedevschi
  • Matthew Barth
  • Mohan M. Trivedi

The main publication venues where this scientist's work appears most frequently are:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Vehicles
  • IEEE Intelligent Transportation Systems Magazine
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access

Best Publications

  • A Review of Motion Planning Techniques for Automated Vehicles

    David Gonzalez;Joshue Perez;Vicente Milanes;Fawzi Nashashibi

  • Attention Based Vehicle Trajectory Prediction

    Kaouther Messaoud;Itheri Yahiaoui;Anne Verroust-Blondet;Fawzi Nashashibi

  • Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

    Maximilian Jaritz;Raoul De Charette;Emilie Wirbel;Xavier Perrotton

  • Real time trajectory prediction for collision risk estimation between vehicles

    Samer Ammoun;Fawzi Nashashibi

  • Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates

    Raoul de Charette;Fawzi Nashashibi

  • Cooperative Multi-Vehicle Localization Using Split Covariance Intersection Filter

    Hao Li;Fawzi Nashashibi

  • Vehicle detection combining gradient analysis and AdaBoost classification

    A. Khammari;F. Nashashibi;Y. Abramson;C. Laurgeau

  • Modeling and Nonlinear Adaptive Control for Autonomous Vehicle Overtaking

    Plamen Petrov;Fawzi Nashashibi

  • Vehicle to pedestrian communications for protection of vulnerable road users

    José Javier Anaya;Pierre Merdrignac;Oyunchimeg Shagdar;Fawzi Nashashibi

  • End-to-End Race Driving with Deep Reinforcement Learning

    Maximilian Jaritz;Raoul de Charette;Marin Toromanoff;Etienne Perot

  • Traffic light recognition using image processing compared to learning processes

    Raoul de Charette;Fawzi Nashashibi

  • Continuous curvature planning with obstacle avoidance capabilities in urban scenarios

    David González;Joshue Pérez;Ray Lattarulo;Vicente Milanés

  • Non-local Social Pooling for Vehicle Trajectory Prediction

    Kaouther Messaoud;Itheri Yahiaoui;Anne Verroust-Blondet;Fawzi Nashashibi

  • Dynamic Trajectory Generation Using Continuous-Curvature Algorithms for Door to Door Assistance Vehicles

    Joshue Perez Rastelli;Ray Lattarulo;Fawzi Nashashibi

  • Multivehicle Cooperative Local Mapping: A Methodology Based on Occupancy Grid Map Merging

    Hao Li;Manabu Tsukada;Fawzi Nashashibi;Michel Parent

  • Platooning control using visible light communications: A feasibility study

    Mohammad Y. Abualhoul;Mohamed Marouf;Oyunchimeg Shagdar;Fawzi Nashashibi

  • Laser-based vehicles tracking and classification using occlusion reasoning and confidence estimation

    F. Nashashibi;A. Bargeton

  • Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation

    Kaouther Messaoud;Nachiket Deo;Mohan M. Trivedi;Fawzi Nashashibi

  • Split Covariance Intersection Filter: Theory and Its Application to Vehicle Localization

    Hao Li;Fawzi Nashashibi;Ming Yang

  • AN INTEGRATED ON-BOARD LASER RANGE SENSING SYSTEM FOR ON-THE-WAY CITY AND ROAD MODELLING

    F Goulette;F Nashashibi;I Abuhadrous;S Ammoun

  • Localization for intelligent vehicle by fusing mono-camera, low-cost GPS and map data

    Hao Li;Fawzi Nashashibi;Gwenaelle Toulminet

Frequent Co-Authors

Vicente Milanés
Vicente Milanés Renault (France)
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
Sergiu Nedevschi
Sergiu Nedevschi Technical University of Cluj-Napoca
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Thierry Siméon
Thierry Siméon Laboratory for Analysis and Architecture of Systems
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Raja Chatila
Raja Chatila Sorbonne University
Sakriani Sakti
Sakriani Sakti Nara Institute of Science and Technology
Myoungho Sunwoo
Myoungho Sunwoo Korea University

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