Joseph E. Uscinski

6.8k total citations · 6 hit papers
80 papers, 3.7k citations indexed

About

Joseph E. Uscinski is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Joseph E. Uscinski has authored 80 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Sociology and Political Science, 20 papers in Communication and 20 papers in Artificial Intelligence. Recurrent topics in Joseph E. Uscinski's work include Misinformation and Its Impacts (46 papers), Media Influence and Politics (24 papers) and Hate Speech and Cyberbullying Detection (20 papers). Joseph E. Uscinski is often cited by papers focused on Misinformation and Its Impacts (46 papers), Media Influence and Politics (24 papers) and Hate Speech and Cyberbullying Detection (20 papers). Joseph E. Uscinski collaborates with scholars based in United States, United Kingdom and Canada. Joseph E. Uscinski's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Joseph E. Uscinski

75 papers receiving 3.5k citations

Hit Papers

Understanding Conspiracy Theories 2014 2026 2018 2022 2019 2014 2020 2016 2021 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph E. Uscinski United States 26 3.2k 1.1k 957 726 710 80 3.7k
Casey Klofstad United States 29 2.1k 0.7× 889 0.8× 468 0.5× 414 0.6× 401 0.6× 75 3.0k
Jon Roozenbeek United Kingdom 25 3.3k 1.0× 1.1k 1.0× 847 0.9× 357 0.5× 813 1.1× 63 3.8k
Emily K. Vraga United States 43 5.1k 1.6× 3.3k 3.0× 1.4k 1.5× 276 0.4× 1.1k 1.6× 108 6.6k
Adam Enders United States 24 1.7k 0.5× 567 0.5× 455 0.5× 304 0.4× 364 0.5× 56 1.9k
Leticia Bode United States 33 3.5k 1.1× 2.8k 2.5× 1.1k 1.2× 112 0.2× 540 0.8× 76 4.6k
Aleksandra Cichocka United Kingdom 33 4.4k 1.4× 630 0.6× 697 0.7× 1.2k 1.7× 745 1.0× 95 5.1k
Andrew M. Guess United States 24 3.4k 1.1× 2.4k 2.2× 1.1k 1.1× 157 0.2× 193 0.3× 37 4.3k
Hugo Mercier France 26 1.8k 0.5× 298 0.3× 469 0.5× 858 1.2× 242 0.3× 124 4.0k
Fabiana Zollo Italy 21 2.8k 0.9× 1.4k 1.3× 827 0.9× 114 0.2× 402 0.6× 48 3.7k
Emily Thorson United States 12 2.7k 0.8× 1.3k 1.2× 844 0.9× 163 0.2× 163 0.2× 20 3.2k

Countries citing papers authored by Joseph E. Uscinski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Meyer, Marco, Adam Enders, Casey Klofstad, Justin Stoler, & Joseph E. Uscinski. (2024). Using an AI-powered “street epistemologist” chatbot and reflection tasks to diminish conspiracy theory beliefs. 1 indexed citations
2.
Enders, Adam, Casey Klofstad, & Joseph E. Uscinski. (2024). The relationship between conspiracy theory beliefs and political violence. 3 indexed citations
3.
Demeter, Márton, et al.. (2024). Against Disinformation: Bridging Science and Public Discourse. Információs Társadalom. 24(2). 68–68. 1 indexed citations
4.
Klofstad, Casey, Amanda B. Diekman, Sandra Kübler, et al.. (2024). Belief in White Replacement. Politics Groups and Identities. 13(2). 387–411. 3 indexed citations
5.
Miller, Monica K., Joseph M. Pierre, Ricky Green, et al.. (2023). The Social Science of QAnon. Cambridge University Press eBooks. 6 indexed citations
6.
Enders, Adam, Amanda B. Diekman, Casey Klofstad, et al.. (2023). On modeling the correlates of conspiracy thinking. Scientific Reports. 13(1). 8325–8325. 20 indexed citations
7.
Klofstad, Casey, Amanda B. Diekman, John Funchion, et al.. (2023). Who knowingly shares false political information online?. 7 indexed citations
8.
Enders, Adam, Joseph E. Uscinski, Casey Klofstad, & Justin Stoler. (2022). On the relationship between conspiracy theory beliefs, misinformation, and vaccine hesitancy. PLoS ONE. 17(10). e0276082–e0276082. 46 indexed citations
9.
Smallpage, Steven M., Adam Enders, Hugo Drochon, & Joseph E. Uscinski. (2022). The impact of social desirability bias on conspiracy belief measurement across cultures. Political Science Research and Methods. 11(3). 555–569. 20 indexed citations
10.
Enders, Adam, Christina E. Farhart, Joanne M. Miller, et al.. (2022). Are Republicans and Conservatives More Likely to Believe Conspiracy Theories?. Political Behavior. 45(4). 2001–2024. 71 indexed citations
11.
Uscinski, Joseph E., Adam Enders, Casey Klofstad, et al.. (2022). Have beliefs in conspiracy theories increased over time?. PLoS ONE. 17(7). e0270429–e0270429. 89 indexed citations
12.
Uscinski, Joseph E., Adam Enders, Amanda B. Diekman, et al.. (2022). The psychological and political correlates of conspiracy theory beliefs. Scientific Reports. 12(1). 21672–21672. 49 indexed citations
13.
Stoler, Justin, Casey Klofstad, Adam Enders, & Joseph E. Uscinski. (2022). Sociopolitical and psychological correlates of COVID-19 vaccine hesitancy in the United States during summer 2021. Social Science & Medicine. 306. 115112–115112. 34 indexed citations
14.
Enders, Adam, Joseph E. Uscinski, Casey Klofstad, et al.. (2021). Do conspiracy beliefs form a belief system? Examining the structure and organization of conspiracy beliefs. Journal of Social and Political Psychology. 9(1). 255–271. 54 indexed citations
15.
Enders, Adam & Joseph E. Uscinski. (2021). The Role of Anti-Establishment Orientations During the Trump Presidency. The Forum. 19(1). 47–76. 18 indexed citations
16.
Enders, Adam, Joseph E. Uscinski, Michelle I. Seelig, et al.. (2021). The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformation. Political Behavior. 45(2). 781–804. 157 indexed citations breakdown →
17.
Connolly, Jennifer M., Casey Klofstad, Joseph E. Uscinski, & Jonathan P. West. (2019). Public preferences for Zika policy and responsibility in the absence of partisan cues. Journal of Public Policy. 40(3). 402–427. 6 indexed citations
18.
Uscinski, Joseph E.. (2019). Conspiracy Theories. Rowman & Littlefield Publishers eBooks. 522–553. 1 indexed citations
19.
Uscinski, Joseph E.. (2018). The Study of Conspiracy Theories [Special Issue]. 3(2). 233–245. 1 indexed citations
20.
Premaratne, Kamal, et al.. (2016). A generalization of Bayesian inference in the Dempster-Shafer belief theoretic framework. International Conference on Information Fusion. 798–804. 10 indexed citations

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.

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