Ralf Philipsen

53 papers receiving 781 citations

Ralf Philipsen's Hit Papers

What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI 2023 · 78 citations
780+1+2Years since publication255075

Peers

Ralf Philipsen
Comparison fields: 5 of 87
  • Automotive Engineering 335
  • Transportation 81
  • Health Informatics 15
  • Social Psychology 192
  • Information Systems and Management 60
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Grace Eden United Kingdom
Mahtab Ghazizadeh United States
Jong Kyu Choi South Korea
Zhu Han China
Rui Lin China
Zhigang Xu China
Kanwaldeep Kaur India
Alexander Boden Germany
Peng Jing China
Ilja Nastjuk Germany
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Citations per year

Countries citing papers authored by Ralf Philipsen

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Philipsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Ralf Philipsen, 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 Ralf Philipsen Line = papers co-authored together Ralf Philipsen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 2016105
3
What does the public think about artificial intelligence?—A criticality map to understand bias in the public perception of AI
Hit paper breakdown →
202378
4 201675
5 201866
6 201536
7 201934
8 201932
9 201621
10 201420
11 201919
12 201814
13 201714
14 201512
15 201612
16 201612
17 20159
18 20198
19 20188
20 20197

About Ralf Philipsen

Ralf Philipsen is a scholar working on Automotive Engineering, Social Psychology, Sociology and Political Science, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality, having authored 53 papers that have together received 807 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (17 papers), Transportation and Mobility Innovations (13 papers), Privacy, Security, and Data Protection (12 papers), Electric Vehicles and Infrastructure (11 papers), Advanced Battery Technologies Research (9 papers), Traffic and Road Safety (8 papers), Ethics and Social Impacts of AI (7 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Automotive Engineering (335 citations), Transportation (81 citations), Health Informatics (15 citations), Social Psychology (192 citations) and Information Systems and Management (60 citations). Ralf Philipsen has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Martina Ziefle, Philipp Brauner, Chantal Lidynia, Julia van Heek, André Calero Valdez, Sebastian Stiller, Robert Schmitt, Björn Falk, Katrin Arning and Julia Offermann. Their work appears in journals such as Transportation Research Part F Traffic Psychology and Behaviour, Risk Analysis, Behaviour and Information Technology, Theoretical Issues in Ergonomics Science and Lecture notes in computer science.

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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