Steve Rathje
- Sociology and Political Science top 2%
- Communication top 1%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Literature and Literary Theory top 5%
- Co-authors
- Sander van der LindenJay Joseph Van BavelJon RoozenbeekClaire RobertsonElizabeth HarrisJay J. Van BavelStephan LewandowskyBeth Goldberg
- Topics
- Misinformation and Its Impacts (19 papers)Social Media and Politics (13 papers)Hate Speech and Cyberbullying Detection (9 papers)
- Journals
- Proceedings of the National Academy of SciencesTrends in Cognitive SciencesPsychological Science
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Steve Rathje
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Sociology and Political Science 889
- Communication 442
- Artificial Intelligence 327
- Cognitive Neuroscience 121
- Literature and Literary Theory 113
Countries citing papers authored by Steve Rathje
This map shows the geographic impact of Steve Rathje'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 Steve Rathje with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Rathje more than expected).
Fields of papers citing papers by Steve Rathje
This network shows the impact of papers produced by Steve Rathje. 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 Steve Rathje. The network helps show where Steve Rathje may publish in the future.
Co-authorship network of co-authors of Steve Rathje
This figure shows the co-authorship network connecting the top 25 collaborators of Steve Rathje. A scholar is included among the top collaborators of Steve Rathje 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 Steve Rathje. Steve Rathje is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | GPT is an effective tool for multilingual psychological text analysisbreakdown → | 97 |
| 7 | 10 | |
| 8 | 24 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 51 | |
| 12 | 27 | |
| 13 | 24 | |
| 14 | Psychological inoculation improves resilience against misinformation on social mediabreakdown → | 181 |
| 15 | 46 | |
| 16 | 25 | |
| 17 | 105 | |
| 18 | 101 | |
| 19 | 45 | |
| 20 | Out-group animosity drives engagement on social mediabreakdown → | 296 |
About Steve Rathje
Steve Rathje is a scholar working on Communication, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (19 papers), Social Media and Politics (13 papers) and Hate Speech and Cyberbullying Detection (9 papers). The work is most often cited by research in Communication (442 citations), Sociology and Political Science (889 citations) and Health (101 citations). Steve Rathje has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Sander van der Linden, Jay Joseph Van Bavel, Jon Roozenbeek, Claire Robertson, Elizabeth Harris, Jay J. Van Bavel, Stephan Lewandowsky, Beth Goldberg, Anni Sternisko and Philip Pärnamets. Their work appears in journals such as Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences and Psychological Science.
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.