Daniel Possler
Impact in
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- Media Influence and Health
Papers in
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- Media Influence and Health 10
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- Digital Games and Media 5
- Impact of Technology on Adolescents 3
- Climate Change Communication and Perception 2
- Co-authors
- Adrian Meier (1 shared paper)Rowan Daneels (4 shared papers)Nicholas David Bowman (4 shared papers)Christoph Klimmt (5 shared papers)Elisa D. Mekler (1 shared paper)Julian Unkel (1 shared paper)Anna Sophie Kümpel (1 shared paper)Dorothée Hefner (1 shared paper)
- Journals
- Psychology of Popular Media (2 papers)Journal of Communication (2 papers)Games and Culture (2 papers)Media and Communication (1 paper)Media Psychology (1 paper)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Daniel Possler
15 papers receiving 246 citations
Peers
Comparison fields: 5 of 46
- Literature and Literary Theory 102
- Applied Psychology 31
- Sociology and Political Science 176
- Communication 28
- Human-Computer Interaction 22
Countries citing papers authored by Daniel Possler
This map shows the geographic impact of Daniel Possler'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 Daniel Possler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Possler more than expected).
Fields of papers citing papers by Daniel Possler
This network shows the impact of papers produced by Daniel Possler. 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 Daniel Possler. The network helps show where Daniel Possler may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel Possler, 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 | 2020 | 103 | |
| 2 | 2021 | 52 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 20 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 8 | |
| 7 | 2015 | 8 | |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 2 | |
| 12 | Computational Methods for Communication Science| Data Is the New Oil—But How Do We Drill It? Pathways to Access and Acquire Large Data Sets in Communication Science | 2019 | 1 |
| 13 | 2020 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 0 |
About Daniel Possler
Daniel Possler is a scholar working on Literature and Literary Theory, Sociology and Political Science, Communication, Gender Studies and Social Psychology, having authored 16 papers that have together received 251 indexed citations. Recurring topics across this work include Media Influence and Health (10 papers), Digital Games and Media (5 papers), Media Studies and Communication (3 papers), Impact of Technology on Adolescents (3 papers), Media, Gender, and Advertising (3 papers), Educational Games and Gamification (2 papers), Climate Change Communication and Perception (2 papers) and Nostalgia and Consumer Behavior (1 paper). The work is most often cited by research in Literature and Literary Theory (102 citations), Applied Psychology (31 citations), Sociology and Political Science (176 citations), Communication (28 citations) and Human-Computer Interaction (22 citations). Daniel Possler has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Adrian Meier, Rowan Daneels, Nicholas David Bowman, Christoph Klimmt, Elisa D. Mekler, Julian Unkel, Anna Sophie Kümpel, Dorothée Hefner, Arthur A. Raney and Daniela Schlütz. Their work appears in journals such as Psychology of Popular Media, Journal of Communication, Games and Culture, Media and Communication and Media Psychology.
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.