Natasha Merat

10.2k total citations · 3 hit papers
185 papers, 7.1k citations indexed

About

Natasha Merat is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Natasha Merat has authored 185 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Social Psychology, 100 papers in Safety, Risk, Reliability and Quality and 77 papers in Automotive Engineering. Recurrent topics in Natasha Merat's work include Human-Automation Interaction and Safety (137 papers), Traffic and Road Safety (99 papers) and Autonomous Vehicle Technology and Safety (48 papers). Natasha Merat is often cited by papers focused on Human-Automation Interaction and Safety (137 papers), Traffic and Road Safety (99 papers) and Autonomous Vehicle Technology and Safety (48 papers). Natasha Merat collaborates with scholars based in United Kingdom, Netherlands and Germany. Natasha Merat's co-authors include A. Hamish Jamson, Tyron Louw, Ruth Madigan, Oliver Carsten, Frank Lai, Gustav Markkula, Anna Schieben, Marc Wilbrink, Yee Mun Lee and Georgios K. Kountouriotis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Natasha Merat

166 papers receiving 6.7k citations

Hit Papers

Transition to manual: Driver behaviour when resuming cont... 2012 2026 2016 2021 2014 2017 2012 100 200 300 400

Peers

Natasha Merat
Riender Happee Netherlands
Dick de Waard Netherlands
Karel Brookhuis Netherlands
Thomas A. Dingus United States
Bryan Reimer United States
William J. Horrey United States
Michael Regan Australia
Riender Happee Netherlands
Natasha Merat
Citations per year, relative to Natasha Merat Natasha Merat (= 1×) peers Riender Happee

Countries citing papers authored by Natasha Merat

Since Specialization
Citations

This map shows the geographic impact of Natasha Merat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natasha Merat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha Merat more than expected).

Fields of papers citing papers by Natasha Merat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasha Merat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natasha Merat. The network helps show where Natasha Merat may publish in the future.

Co-authorship network of co-authors of Natasha Merat

This figure shows the co-authorship network connecting the top 25 collaborators of Natasha Merat. A scholar is included among the top collaborators of Natasha Merat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natasha Merat. Natasha Merat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yan, Xuedong, et al.. (2025). Improving models of pedestrian crossing behavior using neural signatures of decision-making. Transportation Research Part F Traffic Psychology and Behaviour. 109. 1491–1506. 1 indexed citations
2.
Madigan, Ruth, et al.. (2025). Using a traffic climate scale to understand drivers’ perceptions of their traffic system: An examination of measurement invariance across eight countries. Transportation Research Part F Traffic Psychology and Behaviour. 109. 1150–1169. 1 indexed citations
3.
Lehtonen, Esko, et al.. (2025). Decoding acceptance of driver monitoring systems: Evaluating alternative measurement models, cross-country variations, and behavioural intention. Transportation Research Part F Traffic Psychology and Behaviour. 116. 103384–103384.
4.
Wei, Chongfeng, et al.. (2025). Interacting With Yielding Vehicles: A Perceptually Plausible Model for Pedestrian Road Crossing Decisions. IEEE Transactions on Intelligent Transportation Systems. 26(7). 9654–9668.
5.
Li, Yang, Yee Mun Lee, Ruth Madigan, et al.. (2025). Investigating driver responses to automated vehicles in a bottleneck scenario: The impact of lateral offset and eHMI. Transportation Research Part F Traffic Psychology and Behaviour. 114. 621–632.
6.
Shi, Jinlei, et al.. (2024). Effects of various in-vehicle human–machine interfaces on drivers’ takeover performance and gaze pattern in conditionally automated vehicles. International Journal of Human-Computer Studies. 192. 103362–103362. 5 indexed citations
7.
Yang, Yue, Yee Mun Lee, Michael J. Daly, et al.. (2024). Using distributed simulations to investigate driver-pedestrian interactions and kinematic cues: Implications for automated vehicle behaviour and communication. Transportation Research Part F Traffic Psychology and Behaviour. 107. 84–97. 2 indexed citations
8.
Shah, Yatrik M., Yongjae Lee, Ruth Madigan, et al.. (2024). Table of Contents. IEEE Transactions on Intelligent Transportation Systems. 25(3). C1–C4.
9.
Markkula, Gustav, Yi-Shin Lin, Jac Billington, et al.. (2023). Explaining human interactions on the road by large-scale integration of computational psychological theory. PNAS Nexus. 2(6). pgad163–pgad163. 23 indexed citations
10.
Madigan, Ruth, et al.. (2023). Pedestrian interactions with automated vehicles: Does the presence of a zebra crossing affect how eHMIs and movement patterns are interpreted?. Transportation Research Part F Traffic Psychology and Behaviour. 98. 170–185. 21 indexed citations
11.
Markkula, Gustav, Chongfeng Wei, Yee Mun Lee, et al.. (2023). Deconstructing Pedestrian Crossing Decisions in Interactions With Continuous Traffic: An Anthropomorphic Model. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2466–2478. 7 indexed citations
12.
Markkula, Gustav, et al.. (2022). Impacts of visual and cognitive distractions and time pressure on pedestrian crossing behaviour: A simulator study. Accident Analysis & Prevention. 174. 106770–106770. 36 indexed citations
13.
Louw, Tyron, et al.. (2022). Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget. Accident Analysis & Prevention. 180. 106905–106905. 7 indexed citations
14.
Lehtonen, Esko, Fanny Malin, Satu Innamaa, et al.. (2021). Are multimodal travellers going to abandon sustainable travel for L3 automated vehicles?. Transportation Research Interdisciplinary Perspectives. 10. 100380–100380. 11 indexed citations
15.
Wei, Chongfeng, et al.. (2021). Human-Like Decision Making and Motion Control for Smooth and Natural Car Following. IEEE Transactions on Intelligent Vehicles. 8(1). 263–274. 44 indexed citations
16.
Camara, Fanta, Nicola Bellotto, Serhan Coşar, et al.. (2020). Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior. IEEE Transactions on Intelligent Transportation Systems. 22(9). 5453–5472. 94 indexed citations
17.
Markkula, Gustav, Ruth Madigan, Dimitris Nathanael, et al.. (2020). Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic. Theoretical Issues in Ergonomics Science. 21(6). 728–752. 149 indexed citations
18.
20.
Camara, Fanta, Richard Romano, Gustav Markkula, et al.. (2018). Empirical game theory of pedestrian interaction for autonomous vehicles. Lincoln Repository (University of Lincoln). 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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