Fabian Prochazka
- Communication top 1%
- Sociology and Political Science top 5%
- Artificial Intelligence
- Literature and Literary Theory top 10%
- Political Science and International Relations
- Co-authors
- Wolfgang SchweigerPatrick WeberMagdalena ObermaierIngrid Paus-HasebrinkNikolaus JackobKatherine M. EngelkeThomas HanitzschCarsten Reinemann
- Topics
- Social Media and Politics (10 papers)Misinformation and Its Impacts (7 papers)Media Studies and Communication (5 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Fabian Prochazka
15 papers receiving 414 citations
Peers
Comparison fields: 5 of 50
- Communication 355
- Sociology and Political Science 280
- Artificial Intelligence 86
- Literature and Literary Theory 42
- Political Science and International Relations 34
Countries citing papers authored by Fabian Prochazka
This map shows the geographic impact of Fabian Prochazka'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 Fabian Prochazka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Prochazka more than expected).
Fields of papers citing papers by Fabian Prochazka
This network shows the impact of papers produced by Fabian Prochazka. 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 Fabian Prochazka. The network helps show where Fabian Prochazka may publish in the future.
Co-authorship network of co-authors of Fabian Prochazka
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Prochazka. A scholar is included among the top collaborators of Fabian Prochazka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabian Prochazka. Fabian Prochazka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 86 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 89 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | 140 | |
| 13 | 17 | |
| 14 | 1 | |
| 15 | Children's online experiences in socially disadvantaged families: European evidence and policy recommendations | 16 |
| 16 | 1 | |
| 17 | What constitutes a ,rich' design in qualitative methodology | 2 |
About Fabian Prochazka
Fabian Prochazka is a scholar working on Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 17 papers that have together received 452 indexed citations. Recurring topics across this work include Social Media and Politics (10 papers), Misinformation and Its Impacts (7 papers) and Media Studies and Communication (5 papers). The work is most often cited by research in Communication (355 citations), Sociology and Political Science (280 citations) and Literature and Literary Theory (42 citations). Fabian Prochazka has collaborated with scholars based in Germany and United States. Frequent co-authors include Wolfgang Schweiger, Patrick Weber, Magdalena Obermaier, Ingrid Paus-Hasebrink, Nikolaus Jackob, Katherine M. Engelke, Thomas Hanitzsch, Carsten Reinemann, Dorothee Arlt and Nayla Fawzi. Their work appears in journals such as New Media & Society, Journalism & Mass Communication Quarterly and Digital Journalism.
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.