Joseph E. Uscinski
- Sociology and Political Science top 0.2%
- Communication top 0.2%
- Artificial Intelligence top 1%
- Cognitive Neuroscience top 2%
- Health top 1%
- Co-authors
- Casey KlofstadAdam EndersJoseph M. ParentRobbie M. SuttonAleksandra CichockaChee Siang AngKaren M. DouglasFarzin Deravi
- Topics
- Misinformation and Its Impacts (46 papers)Media Influence and Politics (24 papers)Hate Speech and Cyberbullying Detection (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joseph E. Uscinski
75 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Sociology and Political Science 3.2k
- Communication 1.1k
- Artificial Intelligence 957
- Cognitive Neuroscience 726
- Health 710
Countries citing papers authored by Joseph E. Uscinski
This map shows the geographic impact of Joseph E. Uscinski'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 Joseph E. Uscinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph E. Uscinski more than expected).
Fields of papers citing papers by Joseph E. Uscinski
This network shows the impact of papers produced by Joseph E. Uscinski. 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 Joseph E. Uscinski. The network helps show where Joseph E. Uscinski may publish in the future.
Co-authorship network of co-authors of Joseph E. Uscinski
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph E. Uscinski. A scholar is included among the top collaborators of Joseph E. Uscinski 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 Joseph E. Uscinski. Joseph E. Uscinski 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 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 46 | |
| 9 | 20 | |
| 10 | 71 | |
| 11 | 89 | |
| 12 | 49 | |
| 13 | 34 | |
| 14 | 54 | |
| 15 | 18 | |
| 16 | The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformationbreakdown → | 157 |
| 17 | 6 | |
| 18 | 1 | |
| 19 | The Study of Conspiracy Theories [Special Issue] | 1 |
| 20 | A generalization of Bayesian inference in the Dempster-Shafer belief theoretic framework | 10 |
About Joseph E. Uscinski
Joseph E. Uscinski is a scholar working on Communication, Sociology and Political Science and Political Science and International Relations, having authored 80 papers that have together received 3.7k indexed citations. Recurring topics across this work include Misinformation and Its Impacts (46 papers), Media Influence and Politics (24 papers) and Hate Speech and Cyberbullying Detection (20 papers). The work is most often cited by research in Communication (1.1k citations), Health (710 citations) and Sociology and Political Science (3.2k citations). Joseph E. Uscinski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Casey Klofstad, Adam Enders, Joseph M. Parent, Robbie M. Sutton, Aleksandra Cichocka, Chee Siang Ang, Karen M. Douglas, Farzin Deravi, Türkay Salim Nefes and Matthew Atkinson. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.