Christina E. Farhart

1.9k total citations · 2 hit papers
19 papers, 1.0k citations indexed

About

Christina E. Farhart is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Christina E. Farhart has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 8 papers in Communication and 6 papers in Artificial Intelligence. Recurrent topics in Christina E. Farhart's work include Misinformation and Its Impacts (9 papers), Social and Intergroup Psychology (8 papers) and Social Media and Politics (6 papers). Christina E. Farhart is often cited by papers focused on Misinformation and Its Impacts (9 papers), Social and Intergroup Psychology (8 papers) and Social Media and Politics (6 papers). Christina E. Farhart collaborates with scholars based in United States, United Kingdom and Canada. Christina E. Farhart's co-authors include Joanne M. Miller, Kyle L. Saunders, Dominik Stecuła, Matt Motta, Erin Cassese, Joseph A. Vitriol, Joseph E. Uscinski, Adam Enders, Hugo Drochon and Kristin Lunz Trujillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Political Science and Scientific Data.

In The Last Decade

Christina E. Farhart

16 papers receiving 965 citations

Hit Papers

Conspiracy Endorsement as... 2015 2026 2018 2022 2015 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina E. Farhart United States 10 878 329 228 227 171 19 1.0k
Michelle I. Seelig United States 13 817 0.9× 321 1.0× 221 1.0× 197 0.9× 147 0.9× 40 987
Thomas Wood United States 15 1.2k 1.3× 425 1.3× 301 1.3× 225 1.0× 223 1.3× 26 1.4k
Türkay Salim Nefes United Kingdom 9 911 1.0× 240 0.7× 242 1.1× 217 1.0× 241 1.4× 27 1.0k
John Funchion United States 8 650 0.7× 219 0.7× 193 0.8× 179 0.8× 121 0.7× 17 736
Cameron Martel United States 13 764 0.9× 290 0.9× 215 0.9× 143 0.6× 161 0.9× 22 1.0k
Adam Enders United States 24 1.7k 1.9× 567 1.7× 455 2.0× 364 1.6× 304 1.8× 56 1.9k
D.J. Flynn United States 7 738 0.8× 328 1.0× 144 0.6× 56 0.2× 68 0.4× 9 865
Pia Lamberty Germany 7 909 1.0× 167 0.5× 204 0.9× 298 1.3× 417 2.4× 12 1.0k
Kinga Bierwiaczonek Norway 13 569 0.6× 167 0.5× 66 0.3× 138 0.6× 151 0.9× 24 759
Nicoleta Corbu Romania 13 500 0.6× 360 1.1× 117 0.5× 57 0.3× 29 0.2× 45 670

Countries citing papers authored by Christina E. Farhart

Since Specialization
Citations

This map shows the geographic impact of Christina E. Farhart'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 Christina E. Farhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina E. Farhart more than expected).

Fields of papers citing papers by Christina E. Farhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina E. Farhart. 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 Christina E. Farhart. The network helps show where Christina E. Farhart may publish in the future.

Co-authorship network of co-authors of Christina E. Farhart

This figure shows the co-authorship network connecting the top 25 collaborators of Christina E. Farhart. A scholar is included among the top collaborators of Christina E. Farhart 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 Christina E. Farhart. Christina E. Farhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Vitriol, Joseph A., et al.. (2025). Panel Data on Perceived Electoral Legitimacy using Two Independent Samples. Scientific Data. 12(1). 1684–1684.
2.
Vitriol, Joseph A., et al.. (2024). Black and Blue: how democratic attitudes shape affect toward Blue or Black Lives Matter. SHILAP Revista de lepidopterología. 2. 2 indexed citations
3.
Farhart, Christina E., et al.. (2023). By any memes necessary: Belief- and chaos-driven motives for sharing conspiracy theories on social media. Research & Politics. 10(3). 5 indexed citations
4.
Federico, Christopher M., Christina E. Farhart, Joseph A. Vitriol, & Agnieszka Golec de Zavala. (2022). Collective Narcissism and Perceptions of the (Il)legitimacy of the 2020 US Election. The Forum. 20(1). 37–62. 5 indexed citations
5.
Farhart, Christina E., et al.. (2022). Vax attacks: How conspiracy theory belief undermines vaccine support. Progress in molecular biology and translational science. 188(1). 135–169. 39 indexed citations
6.
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
7.
Vitriol, Joseph A., et al.. (2022). On the Independent Roles of Cognitive & Political Sophistication: Variation Across Attitudinal Objects. Applied Cognitive Psychology. 37(2). 319–331. 5 indexed citations
8.
Farhart, Christina E., et al.. (2022). Racialized Pandemic: The Effect of Racial Attitudes on COVID-19 Conspiracy Theory Beliefs. Frontiers in Political Science. 4. 6 indexed citations
9.
Farhart, Christina E., et al.. (2022). Timing Matters: How Adolescent Police Contact Shapes Political Lives. Political Behavior. 45(4). 1933–1958.
10.
Lyons, Benjamin, Christina E. Farhart, Michael P. Hall, et al.. (2021). Self-Affirmation and Identity-Driven Political Behavior. Journal of Experimental Political Science. 9(2). 225–240. 15 indexed citations
11.
Motta, Matt, Dominik Stecuła, & Christina E. Farhart. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic in the U.S.. Canadian Journal of Political Science. 53(2). 335–342. 303 indexed citations breakdown →
12.
Cassese, Erin, Christina E. Farhart, & Joanne M. Miller. (2020). Gender Differences in COVID-19 Conspiracy Theory Beliefs. Politics & Gender. 16(4). 1009–1018. 100 indexed citations
13.
Farhart, Christina E., et al.. (2020). Gender, Benevolent Sexism, and Public Health Compliance. Politics & Gender. 16(4). 1036–1043. 7 indexed citations
14.
Vitriol, Joseph A., et al.. (2018). Implicit candidate traits in the 2016 U.S. Presidential Election: Replicating a dual-process model of candidate evaluations. Electoral Studies. 54. 261–268. 14 indexed citations
15.
Sheagley, Geoffrey, et al.. (2017). Racial Resentment, Hurricane Sandy, and the Spillover of Racial Attitudes into Evaluations of Government Organizations. Analyses of Social Issues and Public Policy. 17(1). 105–131. 10 indexed citations
16.
Vitriol, Joseph A., et al.. (2017). Implicit Candidate‐Trait Associations in Political Campaigns. Political Psychology. 39(1). 177–195. 12 indexed citations
17.
Miller, Joanne M., Kyle L. Saunders, & Christina E. Farhart. (2016). Why Donald Trump’s election may mean we see more liberal conspiracy theories about the government. London School of Economics and Political Science Research Online (London School of Economics and Political Science).
18.
Miller, Joanne M., Kyle L. Saunders, & Christina E. Farhart. (2015). Conspiracy Endorsement as Motivated Reasoning: The Moderating Roles of Political Knowledge and Trust. American Journal of Political Science. 60(4). 824–844. 402 indexed citations breakdown →
19.
Chen, Philip G., Eugene Borgida, Timothy Callaghan, et al.. (2014). The Minnesota Multi‐Investigator 2012 Presidential Election Panel Study. Analyses of Social Issues and Public Policy. 14(1). 78–104. 11 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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