2026 Natasha Merat: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	53	3389	3243	227	211	187	11096

Overview

Natasha Merat is affiliated with the University of Leeds in the United Kingdom. Their research primarily spans the fields of Engineering and Psychology, with a specific focus on Social Psychology, Safety, Risk, Reliability and Quality, Automotive Engineering, Transportation, and Control and Systems Engineering.

The research topics that Natasha Merat addresses include:

Human-Automation Interaction and Safety
Traffic and Road Safety
Safety Warnings and Signage
Autonomous Vehicle Technology and Safety
Transportation and Mobility Innovations
Traffic control and management
Urban Transport and Accessibility

Natasha Merat has contributed extensively to academic literature, with numerous publications appearing in several key venues. The most frequent publication outlets include:

Transportation Research Part F Traffic Psychology and Behaviour
Accident Analysis & Prevention
SSRN Electronic Journal
Transportation Research Interdisciplinary Perspectives
Cognition Technology & Work

Some of the recent papers authored by Natasha Merat include:

Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020), published in Transportation Research Part F Traffic Psychology and Behaviour
Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic (2020), published in Theoretical Issues in Ergonomics Science
Road users rarely use explicit communication when interacting in today's traffic: implications for automated vehicles (2020), published in Cognition Technology & Work
Vulnerable road users and the coming wave of automated vehicles: Expert perspectives (2021), published in Transportation Research Interdisciplinary Perspectives
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior (2020), published in IEEE Transactions on Intelligent Transportation Systems

Natasha Merat has collaborated frequently with several co-authors, including:

Yee Mun Lee
Ruth Madigan
Gustav Markkula
Tyron Louw
Richard Romano

Best Publications

Transition to manual: driver behaviour when resuming control from a highly automated vehicle

Natasha Merat;A. Hamish Jamson;F. Frank C. H. Lai;Michael Daly

755
Citations
What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems

Ruth Madigan;Tyron Louw;Marc Wilbrink;Anna Schieben

556
Citations
Highly automated driving, secondary task performance, and driver state.

Natasha Merat;A. Hamish Jamson;Frank C. H. Lai;Oliver M. J. Carsten

481
Citations
Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions

A. Hamish Jamson;Natasha Merat;Oliver M.J. Carsten;Frank C.H. Lai

444
Citations
Control Task Substitution in Semiautomated Driving Does It Matter What Aspects Are Automated

Oliver M. J. Carsten;Frank C. H. Lai;Yvonne Barnard;A. Hamish Jamson

418
Citations
Acceptance of Automated Road Transport Systems (ARTS): An adaptation of the UTAUT model

Ruth Madigan;Tyron Louw;Marc Dziennus;Tatiana Graindorge

380
Citations
A human factors perspective on automated driving

M. Kyriakidis;J.C.F. de Winter;N Stanton;T. Bellet

357
Citations
Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving

A. Hamish Jamson;Natasha Merat

307
Citations
Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis.

Johan Engström;Gustav Markkula;Trent Victor;Natasha Merat

285
Citations
User acceptance of automated shuttles in Berlin-Schöneberg : A questionnaire study

S. Nordhoff;J.C.F. de Winter;Ruth Madigan;Natasha Merat

284
Citations
The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

Natasha Merat;Bobbie Seppelt;Tyron Louw;Johan Engstrom

279
Citations
Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations

Anna Schieben;Marc Wilbrink;Carmen Kettwich;Ruth Madigan

260
Citations
Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation

Tyron Louw;Natasha Merat

241
Citations
Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

Sina Nordhoff;Tyron Louw;Satu Innamaa;Esko Lehtonen

235
Citations
The interaction between driving and in-vehicle information systems: comparison of results from laboratory, simulator and real-world studies

Jorge Santos;Natasha Merat;Sandra Mouta;Karel A. Brookhuis

214
Citations
What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space

Natasha Merat;Tyron Louw;Ruth Madigan;Marc Wilbrink

208
Citations
Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic

Gustav Markkula;Ruth Madigan;Dimitris Nathanael;Evangelia Portouli

200
Citations
Preface to the special section on human factors and automation in vehicles: designing highly automated vehicles with the driver in mind

Natasha Merat;John D. Lee

170
Citations
Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehicles

Yee Mun Lee;Ruth Madigan;Oscar Giles;Laura Garach-Morcillo;Laura Garach-Morcillo

163
Citations
Engaging with Highly Automated Driving: To be or Not to be in the Loop?

Tyron Louw;Natasha Merat;Hamish Jamson

149
Citations