Michaela Kauer

495 citations
30 papers · 276 indexed · h-index 10

Impact in

Papers in

Michaela Kauer

28 papers receiving 258 citations

Peers

Michaela Kauer
Comparison fields: 5 of 52
  • Automotive Engineering 118
  • Software 26
  • Safety, Risk, Reliability and Quality 60
  • Social Psychology 114
  • Human-Computer Interaction 24
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Joana Hois Germany
Subho S. Banerjee United States
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Citations per year

Countries citing papers authored by Michaela Kauer

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Kauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Michaela Kauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaela Kauer Line = papers co-authored together Michaela Kauer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201034
3 201123
4 201118
5 201316
6 201115
7 201210
8 201010
9 20099
10
pieDrive – a New Driver-Vehicle Interaction Concept for Maneuver-Based Driving
20129
11 20129
12 20129
13 20128
14 20134
15
Evaluation of the SAGAT method for highly automated driving
20153
16 20123
17 20143
18 20142
19 20122
20
Ermittlung der Anforderungen an die Umfelderkennung für Conduct-by-Wire
20122

About Michaela Kauer

Michaela Kauer is a scholar working on Social Psychology, Sociology and Political Science, Automotive Engineering, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 276 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (12 papers), Privacy, Security, and Data Protection (8 papers), Autonomous Vehicle Technology and Safety (7 papers), User Authentication and Security Systems (6 papers), Spam and Phishing Detection (5 papers), Traffic and Road Safety (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Virtual Reality Applications and Impacts (3 papers). The work is most often cited by research in Automotive Engineering (118 citations), Software (26 citations), Safety, Risk, Reliability and Quality (60 citations), Social Psychology (114 citations) and Human-Computer Interaction (24 citations). Michaela Kauer has collaborated with scholars based in Germany. Frequent co-authors include Ralph Bruder, Michael Schreiber, Benjamin Franz, Melanie Volkamer, Stephan Hakuli, Hermann Winner, Marcel Baltzer, Klaus Bengler, Frank Flemisch and Thomas Pfeiffer. Their work appears in journals such as IET Intelligent Transport Systems, Behaviour and Information Technology, Ergonomics, Work and Information Security Technical Report.

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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