Monroe C. Beardsley

5.7k total citations · 1 hit paper
94 papers, 2.1k citations indexed

About

Monroe C. Beardsley is a scholar working on Philosophy, Visual Arts and Performing Arts and Cognitive Neuroscience. According to data from OpenAlex, Monroe C. Beardsley has authored 94 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Philosophy, 11 papers in Visual Arts and Performing Arts and 6 papers in Cognitive Neuroscience. Recurrent topics in Monroe C. Beardsley's work include Ethics, Aesthetics, and Art (9 papers), Visual Culture and Art Theory (7 papers) and Aesthetic Perception and Analysis (6 papers). Monroe C. Beardsley is often cited by papers focused on Ethics, Aesthetics, and Art (9 papers), Visual Culture and Art Theory (7 papers) and Aesthetic Perception and Analysis (6 papers). Monroe C. Beardsley collaborates with scholars based in United States. Monroe C. Beardsley's co-authors include Daniel Bell, Frank Sibley, Cyril Barrett, Ludwig Wittgenstein, Edward A. Lippman, Harold Bloom, Paul de Man, J. Hillis Miller, Jacques Derrida and Geoffrey H. Hartman and has published in prestigious journals such as Modern Language Journal, The Philosophical Review and The Journal of Philosophy.

In The Last Decade

Monroe C. Beardsley

72 papers receiving 1.3k citations

Hit Papers

Lectures and Conversations on Aesthetics, Psychology and ... 1968 2026 1987 2006 1968 50 100 150 200

Peers

Monroe C. Beardsley
Comparison fields: 5 of 130
  • Philosophy 558
  • Experimental and Cognitive Psychology 500
  • Cognitive Neuroscience 385
  • Sociology and Political Science 355
  • Literature and Literary Theory 329
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Citations per field, relative to Monroe C. Beardsley
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Citations per year, relative to Monroe C. Beardsley
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Countries citing papers authored by Monroe C. Beardsley

Since Specialization
Citations

This map shows the geographic impact of Monroe C. Beardsley's research. 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 Monroe C. Beardsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monroe C. Beardsley more than expected).

Fields of papers citing papers by Monroe C. Beardsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monroe C. Beardsley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Monroe C. Beardsley. The network helps show where Monroe C. Beardsley may publish in the future.

Co-authorship network of co-authors of Monroe C. Beardsley

This figure shows the co-authorship network connecting the top 25 collaborators of Monroe C. Beardsley. A scholar is included among the top collaborators of Monroe C. Beardsley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Monroe C. Beardsley. Monroe C. Beardsley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 63
3 5
4 10
5 2
6 0
7 4
8 292
9 1
10 0
11
Theme and Form: An Introduction to Literature
2
12
The Descriptivist account of Aesthetic Attributions
4
13 0
14 1
15 13
16 1
17 0
18 53
19 3
20 16

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.

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