Michelle I. Seelig

1.6k total citations · 3 hit papers
40 papers, 987 citations indexed

About

Michelle I. Seelig is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Michelle I. Seelig has authored 40 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Sociology and Political Science, 19 papers in Communication and 8 papers in Literature and Literary Theory. Recurrent topics in Michelle I. Seelig's work include Misinformation and Its Impacts (13 papers), Social Media and Politics (10 papers) and Media Studies and Communication (10 papers). Michelle I. Seelig is often cited by papers focused on Misinformation and Its Impacts (13 papers), Social Media and Politics (10 papers) and Media Studies and Communication (10 papers). Michelle I. Seelig collaborates with scholars based in United States, United Kingdom and Canada. Michelle I. Seelig's co-authors include Joseph E. Uscinski, Casey Klofstad, Kamal Premaratne, Manohar N. Murthi, Adam Enders, John Funchion, Stefan Wuchty, Caleb Everett, Justin Stoler and Hugo Drochon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Michelle I. Seelig

35 papers receiving 928 citations

Hit Papers

Why do people believe COVID-19 conspiracy theories? 2020 2026 2022 2024 2020 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle I. Seelig United States 13 817 321 221 197 147 40 987
Christina E. Farhart United States 10 878 1.1× 329 1.0× 228 1.0× 227 1.2× 171 1.2× 19 1.0k
Türkay Salim Nefes United Kingdom 9 911 1.1× 240 0.7× 242 1.1× 217 1.1× 241 1.6× 27 1.0k
John Funchion United States 8 650 0.8× 219 0.7× 193 0.9× 179 0.9× 121 0.8× 17 736
Thomas Wood United States 15 1.2k 1.4× 425 1.3× 301 1.4× 225 1.1× 223 1.5× 26 1.4k
Benjamin Lyons United States 16 919 1.1× 469 1.5× 255 1.2× 138 0.7× 85 0.6× 56 1.2k
Cameron Martel United States 13 764 0.9× 290 0.9× 215 1.0× 143 0.7× 161 1.1× 22 1.0k
Steve Rathje United States 17 889 1.1× 442 1.4× 327 1.5× 101 0.5× 121 0.8× 27 1.2k
Sedona Chinn United States 10 659 0.8× 356 1.1× 70 0.3× 107 0.5× 54 0.4× 26 882
Stef Aupers Netherlands 16 853 1.0× 187 0.6× 84 0.4× 293 1.5× 72 0.5× 51 1.1k
Caleb Everett United States 13 369 0.5× 105 0.3× 149 0.7× 129 0.7× 93 0.6× 39 941

Countries citing papers authored by Michelle I. Seelig

Since Specialization
Citations

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

Fields of papers citing papers by Michelle I. Seelig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle I. Seelig. 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 Michelle I. Seelig. The network helps show where Michelle I. Seelig may publish in the future.

Co-authorship network of co-authors of Michelle I. Seelig

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle I. Seelig. A scholar is included among the top collaborators of Michelle I. Seelig 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 Michelle I. Seelig. Michelle I. Seelig 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.
Diekman, Amanda B., Michelle I. Seelig, Kamal Premaratne, et al.. (2025). Belief in Science‐Related Conspiracy Theories. Journal of Social Issues. 81(1). 2 indexed citations
4.
Millet, Barbara, et al.. (2024). In Twitter we trust(ed): How perceptions of Twitter's helpfulness influence news post credibility perceptions and news engagement. Computers in Human Behavior. 155. 108185–108185. 6 indexed citations
5.
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
6.
Seelig, Michelle I., et al.. (2022). Connected, but are they engaged? Exploring young adults’ willingness to engage online and off-line. First Monday. 4 indexed citations
7.
Seelig, Michelle I., et al.. (2022). A frame analysis of climate change solutions in legacy news and digital media. Newspaper Research Journal. 43(4). 370–388. 6 indexed citations
8.
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
9.
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
10.
Tao, Weiting, et al.. (2022). The Power of Emotional Appeal in Motivating Behaviors to Mitigate Climate Change among Generation Z. Journal of Nonprofit & Public Sector Marketing. 36(1). 37–64. 9 indexed citations
11.
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
12.
Shata, Aya & Michelle I. Seelig. (2021). The Dragonfly Effect: Analysis of the Social Media Women’s Empowerment Campaign. Journal of Creative Communications. 16(3). 331–346. 11 indexed citations
13.
Uscinski, Joseph E., Adam Enders, Michelle I. Seelig, et al.. (2021). American Politics in Two Dimensions: Partisan and Ideological Identities versus Anti‐Establishment Orientations. American Journal of Political Science. 65(4). 877–895. 105 indexed citations breakdown →
14.
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 →
15.
Enders, Adam, Joseph E. Uscinski, Casey Klofstad, et al.. (2021). The 2020 presidential election and beliefs about fraud: Continuity or change?. Electoral Studies. 72. 102366–102366. 33 indexed citations
16.
Seelig, Michelle I.. (2010). Journalism and Mass Communication Education The Impact of Technology on Pedagogy. Explorations in Media Ecology. 9(4). 245–258. 3 indexed citations
17.
Seelig, Michelle I.. (2008). Interactivity on Traditional Media Web Sites. Journal of Radio & Audio Media. 15(2). 231–248. 15 indexed citations
18.
Seelig, Michelle I.. (2008). An Updated Look at Trends in Content and Web Page Design in News Web Sites. Electronic News. 2(2). 86–101. 6 indexed citations
19.
Seelig, Michelle I.. (2007). Stereotyping of Hispanic Americans in U.S. Magazine Advertising. The International Journal of Diversity in Organizations Communities and Nations Annual Review. 7(4). 69–82.
20.
Seelig, Michelle I.. (2005). A Case for the Visual Elite. Visual Communication Quarterly. 12(3). 164–181. 4 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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