Creativity in Science: Chance, Logic, Genius, and Zeitgeist
By Dean Keith Simonton. 2004
489 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, History and Philosophy of Science
View Paper: https://www.semanticscholar.org/paper/7520da78afc09c2aa96f64c5cecb446cd8daff20
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- James C. Kaufman
- John Baer
- Gino Cattani
- Barry L. Bayus
- Simone Ferriani
- Soonmook Lee
- Mary T. Dzindolet
- Paul B. Paulus
In Experimental and Cognitive Psychology
- James C. Kaufman
- John Baer
- J. Cole
- Barry L. Bayus
- Mary T. Dzindolet
- Gino Cattani
- Simone Ferriani
- Paul J Silvia
In History and Philosophy of Science
- James C. Kaufman
- John Baer
- Gino Cattani
- Barry L. Bayus
- Simone Ferriani
- Soonmook Lee
- Mary T. Dzindolet
- Paul B. Paulus
Citations in the corpus
- Social influence, creativity and innovation (2008, result): “This perspective is in contrast to the classic perspectives on creativity that have focused on individuals and their characteristics as the basis for creativity (Simonton, 2004; Sternberg, 2006).”
- Creativity in scientific teams: : Unpacking novelty and impact (2015, background): “…value of comic books (Taylor and Greve, 2006), citation counts for patents (Fleming, 2001; Fleming et al., 2007; Singh and Fleming, 2010), journal impact factor for collaboration teams (Guimera et al., 2005), and publications and citations to measure creativity of scientists (Simonton, 1999, 2004).”
- Information technology use and creativity: Findings from the Children and Technology Project (2012, unknown): “(e.g., Simonton, 2004).”
- Personal reputation in organizations: Two-study constructive replication and extension of antecedents and consequences (2012, background): “Furthermore, GMA has been suggested as the link between social reputation and innate talent (e.g., Simonton, 2004).”
- Bridging generality and specificity: The amusement park theoretical (APT) model of creativity (2005, background): “Quality turns out to be (with surprisingly accurate predictive ability) a probabilistic consequence of quantity (Davis, 1987; Platz, 1965; Platz & Blakelock, 1960; Simonton, 1985, 2003a, 2003b, 2004, in press; White & White, 1978).”
- Creativity and Discovery as Blind Variation: Campbell's (1960) BVSR Model after the Half-Century Mark (2011, background): “Apparently, creativity and discovery can only be successfully simulated by introducing some BV mechanism, a stipulation that most often leads to stochastic combinatorial procedures (Simonton, 2003b, 2004, 2010a).”
- Increasing Students' Scientific Creativity: The “Learn to Think” Intervention Program (2013, background): “However, despite some research about the creativity of scientists (e.g., Simonton, 2004), few reports about scientific creativity of secondary students have been written.”
- Expertise, Domains, and the Consensual Assessment Technique. (2009, background): “This concept has also been proposed, in a somewhat different context, by Simonton (2004), who argued that an average person would be hard pressed to competently evaluate the creativity of a scientific theorem or mathematical proof.”
- Scientific Talent, Training, and Performance: Intellect, Personality, and Genetic Endowment (2008, background): “These rudimentary contrasts ignore the conspicuous differences in how talent is realized in the physical, biological, and social sciences (Simonton, 2004, 2006).”
- Incentives and creativity: evidence from the academic life sciences (2011, background): “Across all of the social sciences, researchers often model the creative process as the cumulative, interactive recombination of existing bits of knowledge in novel ways (Weitzman 1998; Burt 2004; Simonton 2004).”
- FEATURED ARTICLE: The Creative Process in Picasso's Guernica Sketches: Monotonic Improvements versus Nonmonotonic Variants (2007, unknown): “Indeed, this assumption has been explicitly formalized in terms of a mathematical model whereby a set of sampled ideas are subjected to chance combinations (Simonton, 2004a, 2004b; see also Simonton, 1988).”
- Bias against Novelty in Science: A Cautionary Tale for Users of Bibliometric Indicators (2017, unknown): “…view of novelty has been embraced by studies with various disciplinary roots (Burt, 2004; Mednick, 1962; Nelson & Winter, 1982; Schumpeter, 1939; Simonton, 2004), and there is an emerging interest in operationalizing this view to measure the novelty of patents, research proposals, publications,…”
- Multiculturalism and Creativity (2013, background): “Indeed, some research has suggested that greater ideational fluency enhances creative originality (Simonton, 2004; Weisberg, 1999) and that originality often results from generative processes (Finke, Ward, & Smith, 1992).”
- Enhancing the Effectiveness of Team Science (2015, background): “Cognitive scientists have also conducted studies of scientific work in particular settings, while psychologists have examined the role of scientists’ personality characteristics and other factors in supporting scientific creativity and productivity (e.g., Feist, 2011, 2013a; Simonton, 2004).”