The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Predicting creativity from early to late adulthood: Intellect, potential, and personality
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Citations
Cites
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
The Matthew Effect in Science: The reward and communication systems of science are considered.
Merton, R. K. (1968) · Science · doi:10.1126/science.159.3810.56 · Cited by 6,720
The associative basis of the creative process.
Mednick, S. (1962) · Psychological Review · doi:10.1037/h0048850 · Cited by 4,140
Guilford, J. P. (1950) · American Psychologist · doi:10.1037/h0063487 · Cited by 3,588
A Meta-Analysis of Personality in Scientific and Artistic Creativity
Feist, G. J. (1998) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0204_5 · Cited by 2,180
Self-citationA contrarian view of the five-factor approach to personality description.
Block, J. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.2.187 · Cited by 1,682
(1984) · doi:10.4324/9781315798806-24 · Cited by 1,061
Personality change in women from college to midlife.
Helson, R., & Moane, G. (1987) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.53.1.176 · Cited by 239
Survey of expert opinion on intelligence and aptitude testing.
Snyderman, M., & Rothman, S. (1987) · American Psychologist · doi:10.1037/0003-066x.42.2.137 · Cited by 221
Cited by
Hennessey, B. A., & Amabile, T. M. (2010) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100416 · Cited by 1,475
Kaufman, S. B., Quilty, L. C., Grazioplene, R. G., Hirsh, J. B., Gray, J. R., Peterson, J. B., & DeYoung, C. G. (2016) · Journal of Personality · doi:10.1111/jopy.12156 · Cited by 623
The road to creative achievement: a latent variable model of ability and personality predictors
Jauk, E., Benedek, M., & Neubauer, A. C. (2014) · European Journal of Personality · doi:10.1002/per.1941 · Cited by 375
“In a 45-year longitudinal study, Feist and Barron (2003) found that intelligence at age 27 predicts lifetime creative achievement at age 72.”
BackgroundA Dynamic Definition of Creativity
Walia, C. (2019) · Creativity Research Journal · doi:10.1080/10400419.2019.1641787 · Cited by 238
Transformational leadership as a mediator between emotional intelligence and team outcomes
Hur, Y., van den Berg, P. T., & Wilderom, C. P. M. (2011) · The Leadership Quarterly · doi:10.1016/j.leaqua.2011.05.002 · Cited by 209
Ericsson, K. A. (2014) · Intelligence · doi:10.1016/j.intell.2013.12.001 · Cited by 178
Vartanian, O., Wertz, C. J., Flores, R. A., Beatty, E. L., Smith, I., Blackler, K., Lam, Q., & Jung, R. E. (2018) · Human Brain Mapping · doi:10.1002/hbm.24054 · Cited by 53
Four Text‐Mining Methods for Measuring Elaboration
Dumas, D., Organisciak, P., Maio, S., & Doherty, M. (2021) · The Journal of Creative Behavior · doi:10.1002/jocb.471 · Cited by 38
Metadata
- Authors
- Feist, G. J., & Barron, F. X.
- Venue
- Journal of Research in Personality
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 37
- Issue
- 2
- Pages
- 62-88
- ISSN
- 0092-6566 (ISSN-L)
- OpenAlex
- W2010563171
- Cited by
- 321
- References
- 9
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
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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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.