Kai W. Müller
- Applied Psychology top 0.5%
- Digital Mental Health Interventions 14
- Communication top 1%
- Social Media and Politics 19
- Clinical Psychology top 1%
- Sexuality, Behavior, and Technology 28
- Gambling Behavior and Treatments 15
- Personality Disorders and Psychopathology 7
- Sociology and Political Science top 0.5%
- Impact of Technology on Adolescents 73
- Digital Games and Media 12
- Education top 0.5%
- Child Development and Digital Technology 37
Kai W. Müller
95 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Applied Psychology 677
- Communication 513
- Clinical Psychology 1.4k
- Sociology and Political Science 2.7k
- Education 1.4k
Countries citing papers authored by Kai W. Müller
This map shows the geographic impact of Kai W. Müller'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 Kai W. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai W. Müller more than expected).
Fields of papers citing papers by Kai W. Müller
This network shows the impact of papers produced by Kai W. Müller. 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 Kai W. Müller. The network helps show where Kai W. Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai W. Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 10 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 28 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 48 | |
| 11 | 2017 | 29 | |
| 12 | The German version of the Perceived Stress Scale – psychometric characteristics in a representative German community samplebreakdown → | 2016 | 469 |
| 13 | 2014 | 76 | |
| 14 | 2014 | 20 | |
| 15 | Regular gaming behavior and internet gaming disorder in European adolescents: results from a cross-national representative survey of prevalence, predictors, and psychopathological correlatesbreakdown → | 2014 | 322 |
| 16 | Psychological Research and a Sociological Perspective on Problematic and Addictive Computer Game Use in Adolescence | 2013 | 9 |
| 17 | Risks of Developing Internet Addictive Behaviors: Scope and Extent of Internet Sites Used | 2013 | 3 |
| 18 | 2013 | 27 | |
| 19 | 2010 | 81 | |
| 20 | 2010 | 0 |
About Kai W. Müller
Kai W. Müller is a scholar working on Applied Psychology, Communication and Clinical Psychology, having authored 101 papers that have together received 3.8k indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (73 papers), Child Development and Digital Technology (37 papers), Sexuality, Behavior, and Technology (28 papers), Social Media and Politics (19 papers), Gambling Behavior and Treatments (15 papers), Digital Mental Health Interventions (14 papers), Digital Games and Media (12 papers) and Personality Disorders and Psychopathology (7 papers). The work is most often cited by research in Applied Psychology (677 citations), Communication (513 citations) and Clinical Psychology (1.4k citations). Kai W. Müller has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Klaus Wölfling, Manfred E. Beutel, Michael Dreier, Leonard Reinecke, Elmar Brähler, Boris Egloff, E. Duven, Eva M. Klein, Gabriele Schmutzer and S. Giralt. Their work appears in journals such as PLoS ONE, Computers in Human Behavior and Personality and Individual Differences.
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.