Jan‐Philipp Stein

34 papers receiving 1.2k citations

Jan‐Philipp Stein's Hit Papers

Attitudes towards AI: measurement and associations with personality 2024 · 162 citations
1620+1+2Years since publication50100150200

Peers

Jan‐Philipp Stein
Comparison fields: 5 of 92
  • Human-Computer Interaction 145
  • Health Informatics 30
  • Applied Psychology 74
  • Literature and Literary Theory 181
  • Marketing 142
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Countries citing papers authored by Jan‐Philipp Stein

Since Specialization
Citations

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

Fields of papers citing papers by Jan‐Philipp Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan‐Philipp Stein. 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 Jan‐Philipp Stein. The network helps show where Jan‐Philipp Stein may publish in the future.

Co-authors

The 20 scholars most cited alongside Jan‐Philipp Stein, 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 Jan‐Philipp Stein Line = papers co-authored together Jan‐Philipp Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Parasocial interactions with real and virtual influencers: The role of perceived similarity and human-likeness
Hit paper breakdown →
2022243
2 2016215
3
Attitudes towards AI: measurement and associations with personality
Hit paper breakdown →
2024162
4 201994
5 201972
6 201964
7 202064
8 202255
9 202139
10 201736
11 202226
12 202217
13 202117
14 202016
15 202116
16 202314
17 202114
18 201813
19 202312
20 202010

About Jan‐Philipp Stein

Jan‐Philipp Stein is a scholar working on Social Psychology, Literature and Literary Theory, Cognitive Neuroscience, Human-Computer Interaction and Sociology and Political Science, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Psychology of Moral and Emotional Judgment (10 papers), Media Influence and Health (10 papers), Social Robot Interaction and HRI (7 papers), AI in Service Interactions (6 papers), Death Anxiety and Social Exclusion (6 papers), Social and Intergroup Psychology (5 papers), Virtual Reality Applications and Impacts (4 papers) and Impact of Technology on Adolescents (4 papers). The work is most often cited by research in Human-Computer Interaction (145 citations), Health Informatics (30 citations), Applied Psychology (74 citations), Literature and Literary Theory (181 citations) and Marketing (142 citations). Jan‐Philipp Stein has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Peter Ohler, Priska Linda Breves, Markus Appel, Tanja Veronika Messingschlager, Fabian Hutmacher, Timo Gnambs, Silvana Weber, Kevin Koban, Nicole Liebers and Martina Mara. Their work appears in journals such as Computers in Human Behavior, Psychology of Popular Media, Media Psychology, Mass Communication & Society and Human Behavior and Emerging Technologies.

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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