World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
37
Citations
5196
World Ranking
2409
National Ranking
81

Gabriel Lodewijks publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Gabriel Lodewijks sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 258 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Gabriel Lodewijks D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Gabriel Lodewijks sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 37 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Gabriel Lodewijks is affiliated with the University of New South Wales in Australia and has contributed extensively to the field of engineering, with a specific focus on industrial and manufacturing engineering, control and systems engineering, aerospace engineering, social psychology, and automotive engineering.

The research topics covered by Gabriel Lodewijks include:

  • Air Traffic Management and Optimization
  • Human-Automation Interaction and Safety
  • Transportation Planning and Optimization
  • Aviation Industry Analysis and Trends
  • Transportation and Mobility Innovations
  • Sleep and Work-Related Fatigue
  • Advanced Manufacturing and Logistics Optimization

Their published papers demonstrate a focus on safety, fatigue detection, autonomous systems, and traffic modeling in transportation and engineering contexts. Selected recent works include:

  • "Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue" (2020, Journal of Safety Research)
  • "Acoustic signal based fault detection on belt conveyor idlers using machine learning" (2020, Advanced Powder Technology)
  • "Exploration of the effects of task-related fatigue on eye-motion features and its value in improving driver fatigue-related technology" (2021, Transportation Research Part F Traffic Psychology and Behaviour)
  • "Modelling the traffic in a mixed network with autonomous-driving expressways and non-autonomous local streets" (2020, Transportation Research Part E Logistics and Transportation Review)
  • "An autonomous vehicle interference-free scheduling approach on bidirectional paths in a robotic mobile fulfillment system" (2021, Expert Systems with Applications)

Gabriel Lodewijks collaborates frequently with several researchers, notably:

  • Tay T.R. Koo
  • Wei Liu
  • Fangni Zhang
  • Naijie Chai
  • Wenliang Zhou

The scientist has published multiple works in several venues, with repeated contributions in:

  • Transportmetrica B Transport Dynamics
  • Complex System Modeling and Simulation
  • Ergonomics
  • SSRN Electronic Journal
  • Journal of Safety Research

Gabriel Lodewijks' research integrates cross-disciplinary knowledge bridging engineering and social psychology, which supports investigations into fatigue, automation interaction, and transportation system optimizations. The work on autonomous systems and fatigue detection has implications for safety improvements in automotive and aviation fields.

Best Publications

  • DEM speedup: Stiffness effects on behavior of bulk material

    Stef Lommen;Dingena Schott;Gabriel Lodewijks

  • Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: the value of differentiation of sleepiness and mental fatigue

    Xinyun Hu;Gabriel Lodewijks

  • Physical properties of solid biomass

    M.R. Wu;D.L. Schott;G. Lodewijks

  • Micro–macro properties of quartz sand: Experimental investigation and DEM simulation

    Sayed M. Derakhshani;Sayed M. Derakhshani;Dingena L. Schott;Gabriel Lodewijks

  • Condition monitoring approaches for the detection of railway wheel defects

    Alireza Alemi;Francesco Corman;Gabriel Lodewijks

  • Trajectory tracking of autonomous vessels using model predictive control

    Huarong Zheng;Rudy R. Negenborn;Gabriel Lodewijks

  • Integrated optimization on train scheduling and preventive maintenance time slots planning

    Xiaojie Luan;Jianrui Miao;Lingyun Meng;Francesco Corman

  • Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control

    Jianbin Xin;Rudy R. Negenborn;Gabriël Lodewijks

  • Acoustic signal based fault detection on belt conveyor idlers using machine learning

    Xiangwei Liu;Deli Pei;Gabriel Lodewijks;Zhangyan Zhao

  • Damp trend Grey Model forecasting method for airline industry

    Rafael Bernardo Carmona BeníTez;Rafael Bernardo Carmona Paredes;Gabriel Lodewijks;Joao Lemos Nabais

  • Green operations of belt conveyors by means of speed control

    Daijie He;Yusong Pang;Gabriel Lodewijks

  • Fast ADMM for Distributed Model Predictive Control of Cooperative Waterborne AGVs

    Huarong Zheng;Rudy R. Negenborn;Gabriel Lodewijks

  • Dynamics of belt systems

    G. Lodewijks

  • Integration of real-time traffic management and train control for rail networks: Part 1: Optimization problems and solution approaches

    Xiaojie Luan;Yihui Wang;Bart De Schutter;Lingyun Meng

  • Service Network Design for an Intermodal Container Network with Flexible Transit Times and the Possibility of Using Subcontracted Transport

    Bart Van Riessen;Rudy R. Negenborn;Rommert Dekker;Gabriel Lodewijks

  • DEM particle upscaling for large-scale bulk handling equipment and material interaction

    Stef Lommen;Mohammadjavad Mohajeri;Gabriel Lodewijks;Dingena Schott

  • A Methodology to Predict Power Savings of Troughed Belt Conveyors by Speed Control

    J. Hiltermann;G. Lodewijks;D. L. Schott;J. C. Rijsenbrij

  • Predictive path following with arrival time awareness for waterborne AGVs

    Huarong Zheng;Rudy R. Negenborn;Gabriël Lodewijks

  • Healthy speed control of belt conveyors on conveying bulk materials

    Daijie He;Yusong Pang;Yusong Pang;Gabriel Lodewijks;Gabriel Lodewijks;Xiangwei Liu

  • Integrated decision making for predictive maintenance of belt conveyor systems

    Xiangwei Liu;Daijie He;Gabriel Lodewijks;Yusong Pang

  • Closed-loop scheduling and control of waterborne AGVs for energy-efficient Inter Terminal Transport

    Huarong Zheng;Rudy R. Negenborn;Gabriël Lodewijks

  • Speed control of belt conveyors during transient operation

    Daijie He;Yusong Pang;Gabriel Lodewijks

  • Impact and relevance of transit disturbances on planning in intermodal container networks using disturbance cost analysis

    Bart van Riessen;Bart van Riessen;Rudy R Negenborn;Gabriel Lodewijks;Rommert Dekker

  • A Novel Embedded Conductive Detection System for Intelligent Conveyor Belt Monitoring

    Y. Pang;G. Lodewijks

  • Multi-Level Predictive Control for Energy Management of Hybrid Ships in the Presence of Uncertainty and Environmental Disturbances

    Ali Haseltalab;Rudy R. Negenborn;Gabriel Lodewijks

Frequent Co-Authors

Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Rommert Dekker
Rommert Dekker Erasmus University Rotterdam
Bart De Schutter
Bart De Schutter Delft University of Technology
Wei Liu
Wei Liu University of Technology Sydney
Keum-Shik Hong
Keum-Shik Hong Pusan National University
Martin Junginger
Martin Junginger Utrecht University
Xinping Yan
Xinping Yan Wuhan University of Technology
Andrea D'Ariano
Andrea D'Ariano Roma Tre University
Wei Wu
Wei Wu Wuhan University

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