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.
What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration Threat
2008784 citationsTed Brader, Nicholas A. Valentino et al.American Journal of Political Scienceprofile →
Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions
2005557 citationsTed BraderAmerican Journal of Political Scienceprofile →
Election Night’s Alright for Fighting: The Role of Emotions in Political Participation
2011555 citationsNicholas A. Valentino, Ted Brader et al.profile →
Immigration Opposition Among U.S. Whites: General Ethnocentrism or Media Priming of Attitudes About Latinos?
2012245 citationsNicholas A. Valentino, Ted Brader et al.Political Psychologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ted Brader'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 Ted Brader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Brader more than expected).
This network shows the impact of papers produced by Ted Brader. 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 Ted Brader. The network helps show where Ted Brader may publish in the future.
Co-authorship network of co-authors of Ted Brader
This figure shows the co-authorship network connecting the top 25 collaborators of Ted Brader.
A scholar is included among the top collaborators of Ted Brader 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 Ted Brader. Ted Brader is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ryan, Timothy J. & Ted Brader. (2013). Partisan Selective Exposure in the Digital Age: Evidence from Field Experiments. SSRN Electronic Journal.1 indexed citations
Groenendyk, Eric, Ted Brader, & Nicholas A. Valentino. (2011). The Only Thing We Have to Fear? The Relationship between Emotions, Appraisals, and Scapegoating. SSRN Electronic Journal.1 indexed citations
Brader, Ted, Nicholas A. Valentino, Ashley Jardina, & Timothy J. Ryan. (2010). The Racial Divide on Immigration Opinion: Why Blacks Are Less Threatened by Immigrants 1. SSRN Electronic Journal.6 indexed citations
13.
Brader, Ted & Nicholas A. Valentino. (2010). When is Terrorism Terrifying.1 indexed citations
14.
Brader, Ted, Nicholas A. Valentino, & Ashley Jardina. (2009). Immigration Opinion in a Time of Economic Crisis: Material Interests versus Group Attitudes. SSRN Electronic Journal.8 indexed citations
15.
Brader, Ted & Joshua A. Tucker. (2009). Follow the Leader: Party Cues, Partisans, and Public Opinion in Old and New Democracies. SSRN Electronic Journal.3 indexed citations
Brader, Ted, Nicholas A. Valentino, & Elizabeth Suhay. (2008). What Triggers Public Opposition to Immigration? Anxiety, Group Cues, and Immigration Threat. American Journal of Political Science. 52(4). 959–978.784 indexed citations breakdown →
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.