Patricia Moravec

963 total citations · 1 hit paper
16 papers, 649 citations indexed

About

Patricia Moravec is a scholar working on Sociology and Political Science, Communication and Information Systems. According to data from OpenAlex, Patricia Moravec has authored 16 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 6 papers in Communication and 6 papers in Information Systems. Recurrent topics in Patricia Moravec's work include Misinformation and Its Impacts (15 papers), Social Media and Politics (6 papers) and Spam and Phishing Detection (5 papers). Patricia Moravec is often cited by papers focused on Misinformation and Its Impacts (15 papers), Social Media and Politics (6 papers) and Spam and Phishing Detection (5 papers). Patricia Moravec collaborates with scholars based in United States. Patricia Moravec's co-authors include Alan R. Dennis, Antino Kim, Randall K. Minas and Avinash Collis and has published in prestigious journals such as MIS Quarterly, Information Systems Research and International Journal of Information Management.

In The Last Decade

Patricia Moravec

16 papers receiving 616 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings

2019 204 citations Antino Kim, Patricia Moravec et al. Journal of Management Information Systems profile →

Peers

Patricia Moravec

SPS

COMMU

SNP

Antino Kim United States

Vian Bakir United Kingdom

Andrew Duffy Singapore

Jieun Shin United States

Aleksandra Urman Switzerland

Alexandra Siegel United States

Ericka Menchen-Trevino United States

Raquel Recuero Brazil

Fabio Giglietto Italy

Antino Kim United States

Patricia Moravec

633 ×1.1

SPS

296 ×1.2

COMMU

251 ×1.2

194 ×1.3

75 ×1.0

SNP

Citations per year, relative to Patricia Moravec Patricia Moravec (= 1×) peers Antino Kim

Countries citing papers authored by Patricia Moravec

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Moravec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Moravec. 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 Patricia Moravec. The network helps show where Patricia Moravec may publish in the future.

Co-authorship network of co-authors of Patricia Moravec

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Dennis, Alan R., Patricia Moravec, & Antino Kim. (2023). Search & Verify: Misinformation and source evaluations in Internet search results. Decision Support Systems. 171. 113976–113976. 8 indexed citations

Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2023). When do details matter? News source evaluation summaries and details against misinformation on social media. International Journal of Information Management. 72. 102666–102666. 8 indexed citations

Moravec, Patricia, et al.. (2023). Countering State-Controlled Media Propaganda Through Labeling: Evidence from Facebook. Information Systems Research. 35(3). 1435–1447. 3 indexed citations

Moravec, Patricia, Antino Kim, Alan R. Dennis, & Randall K. Minas. (2022). Do You Really Know if It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media. Information Systems Research. 33(3). 887–907. 27 indexed citations

Moravec, Patricia, et al.. (2021). Assessment of the Effectiveness of Identity-Based Public Health Announcements in Increasing the Likelihood of Complying With COVID-19 Guidelines: Randomized Controlled Cross-sectional Web-Based Study. JMIR Public Health and Surveillance. 7(4). e25762–e25762. 7 indexed citations

Moravec, Patricia, Antino Kim, & Alan R. Dennis. (2020). Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media. Information Systems Research. 31(3). 987–1006. 119 indexed citations

Moravec, Patricia, Randall K. Minas, & Alan R. Dennis. (2019). Fake News on Social Media: People Believe What They Want to Believe When it Makes No Sense At All1. MIS Quarterly. 43(4). 1343–1360. 143 indexed citations

Moravec, Patricia, et al.. (2019). Replication Research: Campus Emergency Notification Systems. 5. 1–18. 3 indexed citations

Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2019). When Do Details Matter? Source Rating Summaries and Details in the Fight against Fake News on Social Media. SSRN Electronic Journal. 3 indexed citations

10.

Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2019). Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings. Journal of Management Information Systems. 36(3). 931–968. 204 indexed citations breakdown →

11.

Moravec, Patricia, Antino Kim, Alan R. Dennis, & Randall K. Minas. (2019). Do You Really Know If It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 3 indexed citations

12.

Moravec, Patricia, Antino Kim, & Alan R. Dennis. (2018). Flagging Fake News: System 1 vs. System 2. Journal of the Association for Information Systems. 3 indexed citations

13.

Moravec, Patricia, Randall K. Minas, & Alan R. Dennis. (2018). Fake News on Social Media: People Believe What They Want to Believe When it Makes No Sense at All. SSRN Electronic Journal. 103 indexed citations

14.

Moravec, Patricia, Antino Kim, & Alan R. Dennis. (2018). Appealing to Sense and Sensibility: System 1 and System 2 Interventions for Fake News on Social Media. SSRN Electronic Journal. 3 indexed citations

15.

Moravec, Patricia, Antino Kim, Alan R. Dennis, & Randall K. Minas. (2018). Do You Really Know If It’s True? How Asking Users to Rate Stories Affects Belief in Fake News on Social Media. SSRN Electronic Journal. 8 indexed citations

16.

Kim, Antino, Patricia Moravec, & Alan R. Dennis. (2017). Behind the Stars: The Effects of News Source Ratings on Fake News in Social Media. SSRN Electronic Journal. 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.

Explore authors with similar magnitude of impact