The DOI matches its Crossref record; 207 of the 210 references it cites were found in a registry or an index.
The existence of implicit bias is beyond reasonable doubt: A refutation of ideological and methodological objections and executive summary of ten studies that no manager should ignore
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Other biases tested include gender, ethnicity, nationality and sexual orientation; there is evidence that these implicit attitudes are widespread among the population worldwide and influence behaviour outside the laboratory [6, 7].”
From Implicit bias in healthcare professionals: a systematic review (2017) · cites this paper as [7]
In the citing paper
“Other biases tested include gender, ethnicity, nationality and sexual orientation; there is evidence that these implicit attitudes are widespread among the population worldwide and influence behaviour outside the laboratory [6, 7].”
From Implicit bias in healthcare professionals: a systematic review (2017) · cites this paper as [7]
In the citing paper
“Other biases tested include gender, ethnicity, nationality and sexual orientation; there is evidence that these implicit attitudes are widespread among the population worldwide and influence behaviour outside the laboratory [6, 7].”
From Implicit bias in healthcare professionals: a systematic review (2017) · cites this paper as [7]
In the citing paper
“The solidity of data revealing high levels of implicit bias among the general population suggest that this is unlikely to have invalidated the conclusion that implicit bias is present in healthcare professionals [6, 7].”
From Implicit bias in healthcare professionals: a systematic review (2017) · cites this paper as [7]
Citations
Cites
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
(1954) · Cited by 15,935
The Handbook of Social Psychology
Gravatt, A. E., Lindzey, G. E., & Aronson, F. (1969) · The Family Coordinator · doi:10.2307/582242 · Cited by 12,518
Telling more than we can know: Verbal reports on mental processes.
Nisbett, R. E., & Wilson, T. D. (1977) · Psychological Review · doi:10.1037/0033-295x.84.3.231 · Cited by 11,317
Measuring individual differences in implicit cognition: the implicit association test
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1464 · Cited by 9,210
DeLamater, J., & Ward, A. (2013) · Handbooks of sociology and social research · doi:10.1007/978-94-007-6772-0 · Cited by 7,590
REMEMBERING: A STUDY IN EXPERIMENTAL AND SOCIAL PSYCHOLOGY
Bartlett, F. C., & Burt, C. (1933) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.1933.tb02913.x · Cited by 7,475
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Role congruity theory of prejudice toward female leaders.
Eagly, A. H., & Karau, S. J. (2002) · Psychological Review · doi:10.1037//0033-295x.109.3.573 · Cited by 7,300
Cited by
Sorted by citations
Implicit bias in healthcare professionals: a systematic review
FitzGerald, C., & Hurst, S. (2017) · BMC Medical Ethics · doi:10.1186/s12910-017-0179-8 · Cited by 2,556
Enhancing Our Lives with Immersive Virtual Reality
Slater, M., & Sanchez-Vives, M. V. (2016) · Frontiers in Robotics and AI · doi:10.3389/frobt.2016.00074 · Cited by 1,993
Implicit social cognition: from measures to mechanisms
Nosek, B. A., Hawkins, C. B., & Frazier, R. S. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.01.005 · Cited by 578
The Bias of Crowds: How Implicit Bias Bridges Personal and Systemic Prejudice
Payne, B. K., Vuletich, H. A., & Lundberg, K. B. (2017) · Psychological Inquiry · doi:10.1080/1047840x.2017.1335568 · Cited by 583
Banakou, D., Hanumanthu, P. D., & Slater, M. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00601 · Cited by 517
Metadata
- Authors
- Jost, J. T., Rudman, L. A., Blair, I. V., Carney, D. R., Dasgupta, N., Glaser, J., & Hardin, C. D.
- Affiliations
- New York University (US)
- Rutgers, The State University of New Jersey (US)
- University of Colorado Boulder (US)
- Columbia University (US)
- University of Massachusetts Amherst (US)
- University of California, Berkeley (US)
- City University of New York (US)
- Corresponding author
- Jost, John T.
- Venue
- Research in Organizational Behavior
- Publisher
- Elsevier BV
- Published
- 2009
- Volume
- 29
- Pages
- 39-69
- ISSN
- 0191-3085 (ISSN-L)
- OpenAlex
- W2111046715
- Cited by
- 353
- References
- 210
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 22 · 2023: 48 · 2022: 21 · 2021: 20 · 2020: 31 · 2019: 19 · 2018: 23 · 2017: 30 · 2016: 32 · 2015: 15 · 2014: 20 · 2013: 15 · 2012: 24
- FWCI
- 49.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Research in Organizational Behavior (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Keywords
- implicit bias, Implicit Association Test, implicit racism, implicit associations, behavior prediction, employment decisions, clinical decision-making, voting behavior, organizational management, nationality bias, gender bias
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
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