2026 Gabriel Lodewijks: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mechanical and Aerospace Engineering	37	2406	2249	81	78	258	5196

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

256
Citations
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

229
Citations
Physical properties of solid biomass

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

205
Citations
Micro–macro properties of quartz sand: Experimental investigation and DEM simulation

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

159
Citations
Condition monitoring approaches for the detection of railway wheel defects

Alireza Alemi;Francesco Corman;Gabriel Lodewijks

152
Citations
Trajectory tracking of autonomous vessels using model predictive control

Huarong Zheng;Rudy R. Negenborn;Gabriel Lodewijks

121
Citations
Integrated optimization on train scheduling and preventive maintenance time slots planning

Xiaojie Luan;Jianrui Miao;Lingyun Meng;Francesco Corman

118
Citations
Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control

Jianbin Xin;Rudy R. Negenborn;Gabriël Lodewijks

106
Citations
Acoustic signal based fault detection on belt conveyor idlers using machine learning

Xiangwei Liu;Deli Pei;Gabriel Lodewijks;Zhangyan Zhao

105
Citations
Damp trend Grey Model forecasting method for airline industry

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

95
Citations
Green operations of belt conveyors by means of speed control

Daijie He;Yusong Pang;Gabriel Lodewijks

94
Citations
Fast ADMM for Distributed Model Predictive Control of Cooperative Waterborne AGVs

Huarong Zheng;Rudy R. Negenborn;Gabriel Lodewijks

92
Citations
Dynamics of belt systems

G. Lodewijks

88
Citations
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

83
Citations
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

82
Citations
DEM particle upscaling for large-scale bulk handling equipment and material interaction

Stef Lommen;Mohammadjavad Mohajeri;Gabriel Lodewijks;Dingena Schott

69
Citations
A Methodology to Predict Power Savings of Troughed Belt Conveyors by Speed Control

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

69
Citations
Predictive path following with arrival time awareness for waterborne AGVs

Huarong Zheng;Rudy R. Negenborn;Gabriël Lodewijks

67
Citations
Healthy speed control of belt conveyors on conveying bulk materials

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

63
Citations
Integrated decision making for predictive maintenance of belt conveyor systems

Xiangwei Liu;Daijie He;Gabriel Lodewijks;Yusong Pang

53
Citations
Closed-loop scheduling and control of waterborne AGVs for energy-efficient Inter Terminal Transport

Huarong Zheng;Rudy R. Negenborn;Gabriël Lodewijks

42
Citations
Speed control of belt conveyors during transient operation

Daijie He;Yusong Pang;Gabriel Lodewijks

39
Citations
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

36
Citations
A Novel Embedded Conductive Detection System for Intelligent Conveyor Belt Monitoring

Y. Pang;G. Lodewijks

36
Citations
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

29
Citations

Frequent Co-Authors

Rudy R. Negenborn Delft University of Technology

Francesco Corman ETH Zurich

Rommert Dekker Erasmus University Rotterdam

Bart De Schutter Delft University of Technology

Wei Liu University of Technology Sydney

Keum-Shik Hong Pusan National University

Martin Junginger Utrecht University

Xinping Yan Wuhan University of Technology

Andrea D'Ariano Roma Tre University

Wei Wu Wuhan University

External Links

Personal website of Gabriel Lodewijks

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