Ksenia Kuznetsova

Papers

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About

Ksenia Kuznetsova’s research lies at the intersection of cognitive psychology and computational linguistics, with a primary focus on the mechanisms underlying creative problem solving. Her most cited work, “Semantic-map-based analysis of insight problem solving” (2018, 11 citations), introduces a novel methodological approach that uses semantic mapping to trace how individuals restructure their mental representations during moments of insight. This contribution is significant because it moves beyond traditional behavioral measures, offering a fine-grained, data-driven way to visualize the cognitive shifts that precede “aha!” moments. By quantifying the reorganization of semantic networks, Kuznetsova provides empirical evidence for how sudden understanding emerges from incremental, often non-conscious, cognitive processes. Her work has been instrumental in bridging computational modeling with experimental psychology, and it continues to inform studies on creativity, problem-solving, and learning. Though early in her career, Kuznetsova’s innovative use of semantic analysis tools has already shaped how researchers conceptualize and measure insight, making her a rising voice in the cognitive science community.