David P. Redlawsk

57 papers receiving 3.3k citations

Hit Papers

Advantages and Disadvantages of Cognitive Heuristics in P...200120262009201720012002250500750

Peers

David P. Redlawsk
Comparison fields: 5 of 105
  • Political Science and International Relations 2.2k
  • Sociology and Political Science 2.1k
  • Communication 1.3k
  • Gender Studies 466
  • Strategy and Management 254
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Countries citing papers authored by David P. Redlawsk

Since Specialization
Citations

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

Fields of papers citing papers by David P. Redlawsk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Redlawsk. 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 David P. Redlawsk. The network helps show where David P. Redlawsk may publish in the future.

Co-authorship network of co-authors of David P. Redlawsk

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Redlawsk. A scholar is included among the top collaborators of David P. Redlawsk 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 David P. Redlawsk. David P. Redlawsk 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
#WorkIndexed citations
1 2
2 11
3 8
4 7
5 6
6 9
7
Social and Affective Responses to Political Information
2
8 104
9 64
10 11
11
Measuring Respondent Agreement/Disagreement with Framing Experiments: Race, Religion and Voting Against Barack Obama in 2008
5
12
Civic Service: Service-Learning with State and Local Government Partners
10
13 6
14
Feeling politics : emotion in political information processing
80
15 368
16
A Feeling Person’s Game Affect and Voter Information Processing and Learning in a Campaign
4
17 3
18
Hate speech on campus : cases, case studies, and commentary
2
19 298
20
Conducting Political Science Research Using Multimedia.
0

About David P. Redlawsk

David P. Redlawsk is a scholar working on General Decision Sciences, Communication and Political Science and International Relations, having authored 62 papers that have together received 3.6k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (23 papers), Social and Intergroup Psychology (16 papers) and Social Media and Politics (14 papers). The work is most often cited by research in Communication (1.3k citations), Political Science and International Relations (2.2k citations) and Sociology and Political Science (2.1k citations). David P. Redlawsk has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Richard R. Lau, Andrew J. W. Civettini, David J. Andersen, Caroline J. Tolbert, Tessa Ditonto, Kyle Mattes, James A. McCann, Benjamin R. Knoll, Allison Hamilton and William W. Franko. Their work appears in journals such as American Political Science Review, American Journal of Political Science and The Journal of Politics.

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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