Languages of Art: An Approach to a Theory of Symbols.

559 indexed citations

Abstract

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About

This paper, published in 1979, received 559 indexed citations. Written by Nelson Goodman covering the research area of . It is primarily cited by scholars working on Experimental and Cognitive Psychology (145 citations), Cognitive Neuroscience (108 citations) and Visual Arts and Performing Arts (91 citations). Published in Contemporary Sociology A Journal of Reviews.

In The Last Decade

doi.org/10.2307/2066203 →

Countries where authors are citing Languages of Art: An Approach to a Theory of Symbols.

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Citations

This map shows the geographic impact of Languages of Art: An Approach to a Theory of Symbols.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Languages of Art: An Approach to a Theory of Symbols. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Languages of Art: An Approach to a Theory of Symbols. more than expected).

Fields of papers citing Languages of Art: An Approach to a Theory of Symbols.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Languages of Art: An Approach to a Theory of Symbols.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Languages of Art: An Approach to a Theory of Symbols..

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2307/2066203.

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