ArticleEntropy (Basel, Switzerland)2019
Complexity Analysis of Escher's Art.
Article in Entropy (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Self images: an empirical enquiry into Rembrandt's self-portraits.Frontiers in psychiatry · 2026Article
- Painting psychosis: an empirical investigation of the self-portraits of Edvard Munch.Frontiers in psychiatry · 2025Article
- The art of pain: A quantitative color analysis of the self-portraits of Frida Kahlo.Frontiers in human neuroscience · 2022Article
- A hidden message: Decoding artistic intent.PsyCh journal · 2020Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Art is the output of a complex system based on the human spirit and driven by several inputs that embed social, cultural, economic and technological aspects of a given epoch. A solid quantitative analysis of art poses considerable difficulties and reaching assertive conclusions is a formidable challenge. In this paper, we adopt complexity indices, dimensionality-reduction and visualization techniques for studying the evolution of Escher's art. Grayscale versions of 457 artworks are analyzed by means of complexity indices and represented using the multidimensional scaling technique. The results are correlated with the distinct periods of Escher's artistic production. The time evolution of the complexity and the emergent patterns demonstrate the effectiveness of the approach for a quantitative characterization of art.
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