Scott Clifford

4.6k citations
53 papers · 3.1k indexed · 4 hit papers · h-index 25

Scott Clifford

51 papers receiving 3.0k citations

Hit Papers

Increasing Precision without Altering ...1052015202620182022100200300400500

Peers

Scott Clifford
Comparison fields: 5 of 142
  • Communication 385
  • Sociology and Political Science 1.7k
  • Applied Psychology 176
  • Cognitive Neuroscience 638
  • Social Psychology 604
Replace David Hauser with:
David Hauser United States
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Scott Clifford relative to David Hauser United States David Hauser's profile →
Citations per field
00.5×3.2×
David Hauser · 1×
Citations per year

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

The 25 scholars most cited alongside Scott Clifford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Clifford Line = papers co-authored together Scott Clifford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 202314
5 20233
6 20232
7 202210
8
Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experimentsbreakdown →
2021105
9 20212
10 20203
11
The shape of and solutions to the MTurk quality crisisbreakdown →
2020339
12 20204
13 201996
14 201913
15
Are samples drawn from Mechanical Turk valid for research on political ideology?breakdown →
2015530
16 2015213
17
Moral Concerns and Policy Attitudes: Investigating the Influence of Elite Rhetoric
20141
18 2014155
19
Do Attempts to Improve Respondent Attention Increase Social Desirability Bias
20121
20 1987112

About Scott Clifford

Scott Clifford is a scholar working on Communication, Computer Science Applications and General Social Sciences, having authored 53 papers that have together received 3.1k indexed citations. Recurring topics across this work include Social and Intergroup Psychology (24 papers), Electoral Systems and Political Participation (16 papers), Psychology of Moral and Emotional Judgment (14 papers), Social Media and Politics (10 papers), Social and Cultural Dynamics (7 papers), Misinformation and Its Impacts (6 papers), Media Influence and Politics (5 papers) and Cultural Differences and Values (5 papers). The work is most often cited by research in Communication (385 citations), Sociology and Political Science (1.7k citations) and Applied Psychology (176 citations). Scott Clifford has collaborated with scholars based in United States, United Kingdom and Spain. Frequent 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.

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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