Michael Oehl

1.3k total citations
61 papers, 674 citations indexed

About

Michael Oehl is a scholar working on Social Psychology, Safety, Risk, Reliability and Quality and Automotive Engineering. According to data from OpenAlex, Michael Oehl has authored 61 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Social Psychology, 22 papers in Safety, Risk, Reliability and Quality and 17 papers in Automotive Engineering. Recurrent topics in Michael Oehl's work include Human-Automation Interaction and Safety (38 papers), Traffic and Road Safety (22 papers) and Safety Warnings and Signage (11 papers). Michael Oehl is often cited by papers focused on Human-Automation Interaction and Safety (38 papers), Traffic and Road Safety (22 papers) and Safety Warnings and Signage (11 papers). Michael Oehl collaborates with scholars based in Germany, United States and Netherlands. Michael Oehl's co-authors include Felix Wilhelm Siebert, Stefan Brandenburg, Hans‐Rüdiger Pfister, Rainer Höger, Marc Wilbrink, Anja Katharina Huemer, Carmen Kettwich, Meike Jipp, Anna Schieben and Christine Sutter and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Accident Analysis & Prevention.

In The Last Decade

Michael Oehl

56 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Oehl Germany 15 419 323 168 86 78 61 674
Mindy Buchanan‐King United States 3 447 1.1× 489 1.5× 185 1.1× 78 0.9× 153 2.0× 6 774
Yiqi Zhang United States 16 394 0.9× 347 1.1× 230 1.4× 71 0.8× 69 0.9× 83 777
Jeffrey S. Hickman United States 13 391 0.9× 436 1.3× 196 1.2× 135 1.6× 122 1.6× 60 865
Christhard Gelau Germany 10 310 0.7× 291 0.9× 121 0.7× 46 0.5× 96 1.2× 25 524
S. J. Westerman United Kingdom 13 489 1.2× 356 1.1× 126 0.8× 144 1.7× 158 2.0× 25 943
Terry C. Lansdown United Kingdom 16 421 1.0× 326 1.0× 70 0.4× 60 0.7× 95 1.2× 43 663
Matthias Roetting Germany 12 255 0.6× 211 0.7× 103 0.6× 54 0.6× 77 1.0× 26 647
Simon G. Hosking Australia 10 636 1.5× 526 1.6× 131 0.8× 223 2.6× 153 2.0× 33 994
Jeff Greenberg United States 11 364 0.9× 202 0.6× 129 0.8× 66 0.8× 31 0.4× 33 546
Pavlo Bazilinskyy Netherlands 16 831 2.0× 497 1.5× 305 1.8× 40 0.5× 53 0.7× 48 986

Countries citing papers authored by Michael Oehl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Oehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Oehl

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Oehl. A scholar is included among the top collaborators of Michael Oehl 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 Michael Oehl. Michael Oehl 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.
Nordhoff, Sina, Marjan Hagenzieker, Marc Wilbrink, & Michael Oehl. (2025). Development and validation of the Automated Vehicle Acceptance Questionnaire for Pedestrians (AVAQ-P). Transportation Research Part F Traffic Psychology and Behaviour. 113. 307–325.
2.
Nordhoff, Sina, Marjan Hagenzieker, Yee Mun Lee, et al.. (2025). “It’s just another car driving” − Perceptions of U.S. residents interacting with driverless automated vehicles on public roads. Transportation Research Part F Traffic Psychology and Behaviour. 111. 188–210. 1 indexed citations
3.
Wilbrink, Marc, et al.. (2024). Transparent internal human-machine interfaces in highly automated shuttles to support the communication of minimal risk maneuvers to the passengers. Transportation Research Part F Traffic Psychology and Behaviour. 107. 275–287. 1 indexed citations
4.
Brandenburg, Stefan, et al.. (2024). Human-centered design and evaluation of a workplace for the remote assistance of highly automated vehicles. Cognition Technology & Work. 26(2). 183–206. 7 indexed citations
5.
Jipp, Meike, et al.. (2024). From Visions to Reality: Investigating the Interplay of Vehicle Kinematics and Light-band eHMI in a Real Vehicle Study. Transportation Research Part F Traffic Psychology and Behaviour. 103. 79–95. 8 indexed citations
8.
Oehl, Michael, et al.. (2023). Supporting user experience of shared automated mobility on-demand through novel virtual infrastructure: Making the case for virtual stops. International Journal of Human-Computer Studies. 176. 103043–103043. 4 indexed citations
9.
Wilbrink, Marc, et al.. (2023). Principles for External Human–Machine Interfaces. Information. 14(8). 463–463. 9 indexed citations
10.
Choe, Mungyeong, et al.. (2023). Emotion GaRage Vol. IV: Creating Empathic In-Vehicle Interfaces with Generative AIs for Automated Vehicle Contexts. VTechWorks (Virginia Tech). 234–236. 4 indexed citations
11.
Wilbrink, Marc, et al.. (2023). Promoting trust in HAVs of following manual drivers through implicit and explicit communication during minimal risk maneuvers. Frontiers in Computer Science. 5. 4 indexed citations
12.
Oehl, Michael & Rainer Höger. (2022). Affective States and Driving Behavior of Novice and Young Drivers. AHFE international. 17.
14.
Wilbrink, Marc, et al.. (2021). Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens. Forschung im Ingenieurwesen. 85(4). 997–1012. 3 indexed citations
15.
Hesse, Tobias, et al.. (2021). Holistic, Context-sensitive Human-machine Interaction for Automated Vehicles. ATZ worldwide. 123(3). 46–49. 1 indexed citations
16.
Oehl, Michael & Christine Sutter. (2014). Age-related differences in processing visual device and task characteristics when using technical devices. Applied Ergonomics. 48. 214–223. 11 indexed citations
17.
Siebert, Felix Wilhelm, et al.. (2013). Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics. Journal of Safety Research. 47. 47–56. 54 indexed citations
18.
Sutter, Christine, et al.. (2010). Practice and carryover effects when using small interaction devices. Applied Ergonomics. 42(3). 437–444. 5 indexed citations
19.
Oehl, Michael, et al.. (2008). Global text processing in CSCL with learning protocols: a coding scheme for eye movement analyses. Multilingual Matters (Channel View Publications). 103–104. 1 indexed citations
20.
Oehl, Michael, et al.. (2008). Knowledge Acquisition and Problem Solving in CSCL with Learning Protocols: Effects of Different Scripting Strategies. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2008(1). 3040–3045. 1 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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