Tyron Louw

3.1k total citations · 1 hit paper
50 papers, 2.2k citations indexed

About

Tyron Louw is a scholar working on Social Psychology, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tyron Louw has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Social Psychology, 22 papers in Automotive Engineering and 22 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tyron Louw's work include Human-Automation Interaction and Safety (37 papers), Traffic and Road Safety (22 papers) and Transportation and Mobility Innovations (11 papers). Tyron Louw is often cited by papers focused on Human-Automation Interaction and Safety (37 papers), Traffic and Road Safety (22 papers) and Transportation and Mobility Innovations (11 papers). Tyron Louw collaborates with scholars based in United Kingdom, Finland and Germany. Tyron Louw's co-authors include Natasha Merat, Ruth Madigan, Anna Schieben, Marc Wilbrink, Oliver Carsten, Marc Dziennus, Tatiana Graindorge, Carmen Kettwich, Hamish Jamson and Sina Nordhoff and has published in prestigious journals such as PLoS ONE, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Tyron Louw

47 papers receiving 2.1k citations

Hit Papers

What influences the decision to use automated public tran... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tyron Louw United Kingdom 19 1.6k 956 933 271 266 50 2.2k
Ruth Madigan United Kingdom 24 1.7k 1.1× 1.3k 1.3× 1.2k 1.2× 247 0.9× 404 1.5× 58 2.6k
Miltos Kyriakidis Netherlands 18 1.4k 0.9× 1.2k 1.3× 646 0.7× 167 0.6× 424 1.6× 34 2.3k
Lesley Strawderman United States 19 809 0.5× 494 0.5× 618 0.7× 217 0.8× 298 1.1× 88 1.8k
Anna Schieben Germany 19 1.5k 0.9× 996 1.0× 856 0.9× 137 0.5× 186 0.7× 52 2.1k
Tingru Zhang China 24 1.1k 0.7× 779 0.8× 704 0.8× 468 1.7× 296 1.1× 62 2.7k
Yong Gu Ji South Korea 24 1.3k 0.8× 632 0.7× 494 0.5× 412 1.5× 172 0.6× 110 2.5k
Sina Nordhoff Netherlands 14 966 0.6× 965 1.0× 365 0.4× 230 0.8× 387 1.5× 36 1.5k
Brandon Schoettle United States 19 739 0.5× 1.1k 1.1× 512 0.5× 75 0.3× 598 2.2× 80 2.0k
Bastian Pfleging Germany 26 1.7k 1.1× 660 0.7× 609 0.7× 105 0.4× 86 0.3× 95 2.3k
Martin Baumann Germany 32 2.3k 1.4× 1.0k 1.1× 1.2k 1.3× 111 0.4× 152 0.6× 203 3.2k

Countries citing papers authored by Tyron Louw

Since Specialization
Citations

This map shows the geographic impact of Tyron Louw'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 Tyron Louw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyron Louw more than expected).

Fields of papers citing papers by Tyron Louw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyron Louw. 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 Tyron Louw. The network helps show where Tyron Louw may publish in the future.

Co-authorship network of co-authors of Tyron Louw

This figure shows the co-authorship network connecting the top 25 collaborators of Tyron Louw. A scholar is included among the top collaborators of Tyron Louw 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 Tyron Louw. Tyron Louw 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.
Bjorvatn, Afsaneh, Satu Innamaa, Esko Lehtonen, et al.. (2023). Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe. Journal of Advanced Transportation. 2023. 1–14. 1 indexed citations
2.
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
3.
Louw, Tyron, et al.. (2022). The effect of information from dash-based human-machine interfaces on drivers' gaze patterns and lane-change manoeuvres after conditionally automated driving. Accident Analysis & Prevention. 174. 106726–106726. 22 indexed citations
4.
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
5.
Louw, Tyron, et al.. (2021). User-centred design evaluation of symbols for adaptive cruise control (ACC) and lane-keeping assistance (LKA). Cognition Technology & Work. 23(4). 685–703. 9 indexed citations
6.
7.
Louw, Tyron, et al.. (2020). The effect of motor control requirements on drivers’ eye-gaze pattern during automated driving. Accident Analysis & Prevention. 148. 105788–105788. 17 indexed citations
8.
Mole, Callum, Jami Pekkanen, Tyron Louw, et al.. (2020). Predicting takeover response to silent automated vehicle failures. PLoS ONE. 15(11). e0242825–e0242825. 14 indexed citations
9.
Gonçalves, Rodrigo Franco, et al.. (2020). Applying Entropy to Understand Drivers’ Uncertainty during Car-following. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 2 indexed citations
11.
Wu, Min, Tyron Louw, Morteza Lahijanian, et al.. (2019). Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles. Oxford University Research Archive (ORA) (University of Oxford). 6210–6216. 15 indexed citations
12.
Louw, Tyron, et al.. (2019). Assessing user behaviour and acceptance in real-world automated driving: The L3Pilot project approach. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 4 indexed citations
13.
Metz, Barbara, Tyron Louw, Johanna Wörle, et al.. (2019). Evaluation methods: Deliverable D3.3 of L3Pilot. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations
14.
Innamaa, Satu, et al.. (2019). Applying the FESTA methodology to automated driving pilots. White Rose Research Online (University of Leeds, The University of Sheffield, University of York).
16.
Madigan, Ruth, Tyron Louw, & Natasha Merat. (2018). The effect of varying levels of vehicle automation on drivers’ lane changing behaviour. PLoS ONE. 13(2). e0192190–e0192190. 28 indexed citations
17.
Merat, Natasha, Tyron Louw, Ruth Madigan, Marc Wilbrink, & Anna Schieben. (2018). What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?. Accident Analysis & Prevention. 118. 244–252. 148 indexed citations
18.
Schieben, Anna, Marc Wilbrink, Carmen Kettwich, et al.. (2018). Designing the interaction of automated vehicles with other traffic participants: A design framework based on human needs and expectations. elib (German Aerospace Center). 8 indexed citations
19.
Louw, Tyron, Gustav Markkula, Erwin R. Boer, et al.. (2017). Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving. Accident Analysis & Prevention. 108. 9–18. 95 indexed citations
20.
Louw, Tyron. (2010). The Effect of Distraction Modality on Driver Performance. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 25(1). 13–25. 3 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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