The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
The Politics of Beauty: The Effects of Partisan Bias on Physical Attractiveness
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In the citing paper
“People may also perceive copartisans to be more physically attractive (Nicholson et al. 2016).”
From The Origins and Consequences of Affective Polarization in the United States (2019) · cites this paper as Nicholson et al. 2016
Citations
Cites
Social psychology of intergroup relations
Tajfel, H. (1982) · Annual Review of Psychology · doi:10.1146/annurev.ps.33.020182.000245 · Cited by 7,949
The Social Self: On Being the Same and Different at the Same Time
Brewer, M. B. (1991) · Personality and Social Psychology Bulletin · doi:10.1177/0146167291175001 · Cited by 5,107
Eulau, H. H. F. (1960) · American Political Science Review · doi:10.2307/1952653 · Cited by 4,744
Motivated Skepticism in the Evaluation of Political Beliefs
Taber, C. S., & Lodge, M. (2006) · American Journal of Political Science · doi:10.1111/j.1540-5907.2006.00214.x · Cited by 4,344
Elder, J. W., Geertz, C., & Rosenhack, K. P. S. (1964) · Cited by 3,878
Iyengar, S., Sood, G., & Lelkes, Y. (2012) · Public Opinion Quarterly · doi:10.1093/poq/nfs038 · Cited by 2,996 · cited 11×
“4; Iyengar et al. 2012; Levendusky 2009).”
InfluentialExperiments in Intergroup Discrimination
Tajfel, H. (1970) · Scientific American · doi:10.1038/scientificamerican1170-96 · Cited by 2,577
Fear and loathing across party lines: New evidence on group polarization
Iyengar, S., & Westwood, S. J. (2015) · American Journal of Political Science · doi:10.1111/ajps.12152 · Cited by 2,452
Maxims or myths of beauty? A meta-analytic and theoretical review
Langlois, J. H., Kalakanis, L., Rubenstein, A. J., Larson, A., Hallam, M., & Smoot, M. (2000) · Psychological Bulletin · doi:10.1037/0033-2909.126.3.390 · Cited by 2,429 · cited 1×
“This effect, dubbed the ‘‘what is beautiful is good’’ bias, holds that physically attractive persons are assumed to hold many other positive attributes (e.g. kindness, intelligence) (Langlois et al. 2000).”
Polarized America: the dance of ideology and unequal riches
(2007) · Choice Reviews Online · doi:10.5860/choice.44-3551 · Cited by 1,793
Research works printed but not linked: 1
- Campbell, A., Converse, P. E., Miller, W. E., & Stokes, D. E. (1960). The American Voter. New York: Wiley.
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Items 201–210 of 210
HOBOLT, S. B., & Tilley, J. R. (2026) · Oxford University Press eBooks · doi:10.1093/9780198911746.003.0010
The Trigger: The Brexit Referendum and its Fallout
HOBOLT, S. B., & Tilley, J. R. (2026) · Oxford University Press eBooks · doi:10.1093/9780198911746.003.0004
Identity Anchors: Tribes, Traits, and Echo Chambers
HOBOLT, S. B., & Tilley, J. R. (2026) · Oxford University Press eBooks · doi:10.1093/9780198911746.003.0008
HOBOLT, S. B., & Tilley, J. R. (2026) · Oxford University Press eBooks · doi:10.1093/9780198911746.005.0001
Does (dis)liking the governing parties correlate with democratic (dis)satisfaction?
Feitosa, F., Eck, B., Pilet, J., & Bélanger, É. (2026) · International Political Science Review · doi:10.1177/01925121261423135
“See Easton and Holbein (2021), Lelkes and Westwood (2017), Nicholson et al. (2016) and Sievert and Banda (2024) for comparable analyses exploring the limits of core theories and underscoring the importance of such efforts.”
Affective Representation in Congress
Dawkins, R., Cayton, A. F., & Stapleton, C. E. (2026) · Political Behavior · doi:10.1007/s11109-026-10149-4
Measuring Judicial Appeasement of the United States Supreme Court
Snyder, D., & Pierce, C. (2026) · American Politics Research · doi:10.1177/1532673x261462118
“…suggests that partisan identity is a powerful biasing force, which can lead to social and perceptual biases (Gift & Gift, 2015; Mitchelitch, 2015; Nicholson et al., 2016), dehumanization (Martherus et al., 2021), and potentially even support for violence or extreme political actions (Holliday et…”
Jin, R., & Lindsay, S. C. (2026) · Political Research Quarterly · doi:10.1177/10659129261468675
“In social settings, for example, affective polarization has impacts on whom individuals decide to make friends with or date (Huber and Malhotra 2017; Nicholson et al. 2016), whom the employers decide to hire (Gift and Gift 2015) and whether people offer help and connect with each other (Webster et…”
Good People and Getting Along: Young American Adults’ Perceptions of Politics and Romance
Leap, B., Allison, R., & Hagerman, M. A. (2026) · Sociological Quarterly · doi:10.1080/00380253.2026.2722940
From, A., Banks, J., & Sayler, J. W. (2026) · Telematics and Informatics · doi:10.1016/j.tele.2026.102468
Metadata
- Authors
- Nicholson, S. P., Coe, C. M., Emory, J., & Song, A. V.
- Affiliations
- University of California, Merced (US)
- California State University, Stanislaus (US)
- Corresponding author
- Nicholson, Stephen P.
- Venue
- Political Behavior
- Published
- 2016-04-05
- Volume
- 38
- Issue
- 4
- Pages
- 883-898
- ISSN
- 0190-9320 (ISSN-L)
- 1573-6687
- OpenAlex
- W2326755378
- Cited by
- 210
- References
- 61
- Citations by year
- 2026: 25 · 2025: 21 · 2024: 19 · 2023: 23 · 2022: 17 · 2021: 12 · 2020: 22 · 2019: 41 · 2018: 24 · 2017: 4 · 2016: 2
- FWCI
- 33.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Political Behavior (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Keywords
- physical attractiveness, partisan bias, in-group favoritism, out-group bias, social identity, gender differences, 2012 presidential election, political competition, interpersonal perception
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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