Sonja Utz
- Communication top 0.1%
- Social Media and Politics 19
- Knowledge Management and Sharing 17
- Sociology and Political Science top 0.2%
- Impact of Technology on Adolescents 35
- Digital Marketing and Social Media 15
- Misinformation and Its Impacts 9
- Applied Psychology top 2%
- Human-Computer Interaction top 1%
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- Media Influence and Health 12
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- Team Dynamics and Performance 8
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- AI in Service Interactions 7
- Co-authors
- Friederike SchultzRuoyun LinAnja S. GöritzNicole L. MuscanellCamiel J. BeukeboomJohannes BreuerLara N. WolfersPeter Kerkhof
- Journals
- Computers in Human Behavior (10 papers)Social Science Computer Review (4 papers)Cyberpsychology Journal of Psychosocial Research on Cyberspace (4 papers)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Sonja Utz
86 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Communication 1.9k
- Sociology and Political Science 3.2k
- Information Systems and Management 450
- Applied Psychology 273
- Human-Computer Interaction 244
Countries citing papers authored by Sonja Utz
This map shows the geographic impact of Sonja Utz'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 Sonja Utz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Utz more than expected).
Fields of papers citing papers by Sonja Utz
This network shows the impact of papers produced by Sonja Utz. 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 Sonja Utz. The network helps show where Sonja Utz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sonja Utz, 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 | 2024 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | Social media use, stress, and copingbreakdown → | 2022 | 104 |
| 8 | 2021 | 7 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 43 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 6 | |
| 15 | 2018 | 64 | |
| 16 | 2016 | 50 | |
| 17 | The emotional responses of browsing Facebook: Happiness, envy, and the role of tie strengthbreakdown → | 2015 | 248 |
| 18 | 2011 | 164 | |
| 19 | 2009 | 83 | |
| 20 | 2004 | 4 |
About Sonja Utz
Sonja Utz is a scholar working on Communication, Sociology and Political Science, Literature and Literary Theory, Safety Research and Social Psychology, having authored 93 papers that have together received 4.7k indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (35 papers), Social Media and Politics (19 papers), Knowledge Management and Sharing (17 papers), Digital Marketing and Social Media (15 papers), Media Influence and Health (12 papers), Misinformation and Its Impacts (9 papers), Team Dynamics and Performance (8 papers) and AI in Service Interactions (7 papers). The work is most often cited by research in Communication (1.9k citations), Sociology and Political Science (3.2k citations), Information Systems and Management (450 citations), Applied Psychology (273 citations) and Human-Computer Interaction (244 citations). Sonja Utz has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Friederike Schultz, Ruoyun Lin, Anja S. Göritz, Nicole L. Muscanell, Camiel J. Beukeboom, Johannes Breuer, Lara N. Wolfers, Peter Kerkhof, Ivar Vermeulen and Martin Tanis. Their work appears in journals such as Computers in Human Behavior, Social Science Computer Review, Cyberpsychology Journal of Psychosocial Research on Cyberspace, Journal of Computer-Mediated Communication and Journal of Media Psychology Theories Methods and Applications.
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.