Scott Clifford

4.6k total citations · 4 hit papers
53 papers, 3.1k citations indexed

About

Scott Clifford is a scholar working on Sociology and Political Science, Political Science and International Relations and Cognitive Neuroscience. According to data from OpenAlex, Scott Clifford has authored 53 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Sociology and Political Science, 16 papers in Political Science and International Relations and 14 papers in Cognitive Neuroscience. Recurrent topics in Scott Clifford's work include Social and Intergroup Psychology (24 papers), Electoral Systems and Political Participation (16 papers) and Psychology of Moral and Emotional Judgment (14 papers). Scott Clifford is often cited by papers focused on Social and Intergroup Psychology (24 papers), Electoral Systems and Political Participation (16 papers) and Psychology of Moral and Emotional Judgment (14 papers). Scott Clifford collaborates with scholars based in United States, United Kingdom and Spain. Scott Clifford's co-authors include Philip Waggoner, Ryan Jewell, Kyle A. Thomas, Jennifer Jerit, Ryan Kennedy, Tyler Burleigh, Nicholas Winter, Spencer Piston, Roberto Cabeza and Walter Sinnott‐Armstrong and has published in prestigious journals such as Cancer, Computers in Human Behavior and American Political Science Review.

In The Last Decade

Scott Clifford

51 papers receiving 3.0k citations

Hit Papers

Are samples drawn from Mechanical Turk valid for research... 2015 2026 2018 2022 2015 2017 2020 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Clifford United States 25 1.7k 638 604 550 385 53 3.1k
Kevin B. Smith United States 29 2.3k 1.3× 852 1.3× 1.1k 1.8× 659 1.2× 239 0.6× 119 3.7k
Cristina Bicchieri United States 27 1.9k 1.1× 722 1.1× 444 0.7× 307 0.6× 116 0.3× 89 3.9k
Rose McDermott United States 32 2.3k 1.4× 322 0.5× 649 1.1× 1.3k 2.4× 233 0.6× 143 4.2k
Joanne M. Miller United States 26 2.1k 1.2× 208 0.3× 412 0.7× 841 1.5× 809 2.1× 58 3.9k
Werner Wirth Switzerland 27 1.5k 0.9× 211 0.3× 411 0.7× 608 1.1× 843 2.2× 99 3.3k
John R. Alford United States 26 2.1k 1.3× 685 1.1× 935 1.5× 885 1.6× 272 0.7× 52 3.4k
Stephen Vaisey United States 27 2.3k 1.4× 255 0.4× 693 1.1× 324 0.6× 183 0.5× 49 3.4k
Eugene Borgida United States 32 2.5k 1.5× 410 0.6× 1.0k 1.7× 790 1.4× 439 1.1× 123 5.2k
David De Cremer Netherlands 40 2.8k 1.6× 840 1.3× 1.6k 2.7× 165 0.3× 195 0.5× 91 5.0k
Thomas E. Nelson United States 15 2.0k 1.2× 175 0.3× 496 0.8× 1.0k 1.8× 1.0k 2.7× 29 3.4k

Countries citing papers authored by Scott Clifford

Since Specialization
Citations

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

Fields of papers citing papers by Scott Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Clifford

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Clifford. A scholar is included among the top collaborators of Scott Clifford 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 Scott Clifford. Scott Clifford 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.
Clifford, Scott & Carlisle Rainey. (2025). The Limits (and Strengths) of Single-Topic Experiments. Political Analysis. 33(2). 164–170.
2.
Clifford, Scott & Carlisle Rainey. (2024). Estimators for Topic-Sampling Designs. Political Analysis. 32(4). 431–444. 2 indexed citations
3.
Clifford, Scott, et al.. (2024). The policy basis of group sentiments. Political Science Research and Methods. 13(2). 482–488. 1 indexed citations
4.
Sheagley, Geoffrey & Scott Clifford. (2023). No Evidence that Measuring Moderators Alters Treatment Effects. American Journal of Political Science. 69(1). 49–63. 14 indexed citations
5.
Clifford, Scott & Brian W. Sullivan. (2023). Do Survey Questions Spread Conspiracy Beliefs?. Journal of Experimental Political Science. 10(2). 231–241. 3 indexed citations
6.
Clifford, Scott, D.J. Flynn, Brendan Nyhan, & Kasey Rhee. (2023). Decider in Chief? Why and How the Public Exaggerates the Power of the Presidency. Political Research Quarterly. 77(2). 469–484. 2 indexed citations
7.
Clifford, Scott, et al.. (2022). Disgust sensitivity and support for immigration across five nations. Politics and the Life Sciences. 42(1). 65–80. 10 indexed citations
8.
Clifford, Scott, Geoffrey Sheagley, & Spencer Piston. (2021). Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments. American Political Science Review. 115(3). 1048–1065. 105 indexed citations breakdown →
9.
Clifford, Scott, Elizabeth Simas, & Justin H. Kirkland. (2021). Do Elections Keep the Compassionate out of the Candidate Pool?. Public Opinion Quarterly. 85(2). 649–662. 2 indexed citations
10.
Marques, Lucas Murrins, Scott Clifford, V. Iyengar, et al.. (2020). Translation and validation of the Moral Foundations Vignettes (MFVs) for the Portuguese language in a Brazilian sample. Judgment and Decision Making. 15(1). 149–158. 3 indexed citations
11.
Kennedy, Ryan, Scott Clifford, Tyler Burleigh, et al.. (2020). The shape of and solutions to the MTurk quality crisis. Political Science Research and Methods. 8(4). 614–629. 339 indexed citations breakdown →
12.
Clifford, Scott. (2020). How Moral Motives Link Party Stereotypes. Political Behavior. 44(2). 705–724. 4 indexed citations
13.
Simas, Elizabeth, Scott Clifford, & Justin H. Kirkland. (2019). How Empathic Concern Fuels Political Polarization. American Political Science Review. 114(1). 258–269. 96 indexed citations
14.
Clifford, Scott, et al.. (2019). TRENDS : How Internet Search Undermines the Validity of Political Knowledge Measures. Political Research Quarterly. 73(1). 141–155. 13 indexed citations
15.
Clifford, Scott, Ryan Jewell, & Philip Waggoner. (2015). Are samples drawn from Mechanical Turk valid for research on political ideology?. Research & Politics. 2(4). 530 indexed citations breakdown →
16.
Clifford, Scott, V. Iyengar, Roberto Cabeza, & Walter Sinnott‐Armstrong. (2015). Moral foundations vignettes: a standardized stimulus database of scenarios based on moral foundations theory. Behavior Research Methods. 47(4). 1178–1198. 213 indexed citations
17.
Clifford, Scott, Jennifer Jerit, Carlisle Rainey, & Matt Motyl. (2014). Moral Concerns and Policy Attitudes: Investigating the Influence of Elite Rhetoric. SSRN Electronic Journal. 1 indexed citations
18.
Clifford, Scott, et al.. (2014). Is There a Cost to Convenience? An Experimental Comparison of Data Quality in Laboratory and Online Studies. Journal of Experimental Political Science. 1(2). 120–131. 155 indexed citations
19.
Clifford, Scott & Jennifer Jerit. (2012). Do Attempts to Improve Respondent Attention Increase Social Desirability Bias. SSRN Electronic Journal. 1 indexed citations
20.
Burger, Peter C., Charles E. Rawlings, Edwin B. Cox, et al.. (1987). Clinicopathologic correlations in the oligodendroglioma. Cancer. 59(7). 1345–1352. 112 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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