Self-theories: Their Role in Motivation, Personality, and Development

4.3k indexed citations
published 1999
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w51408289 →

Countries where authors are citing Self-theories: Their Role in Motivation, Personality, and Development

Specialization
Citations

This map shows the geographic impact of Self-theories: Their Role in Motivation, Personality, and Development. 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 Self-theories: Their Role in Motivation, Personality, and Development with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Self-theories: Their Role in Motivation, Personality, and Development more than expected).

Fields of papers citing Self-theories: Their Role in Motivation, Personality, and Development

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Self-theories: Their Role in Motivation, Personality, and Development. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Self-theories: Their Role in Motivation, Personality, and Development.

About Self-theories: Their Role in Motivation, Personality, and Development

This paper, published in 1999, received 4.3k indexed citations . Written by Carol S. Dweck. It is primarily cited by scholars working on Social Psychology (1.8k citations), Experimental and Cognitive Psychology (1.7k citations), Education (1.6k citations), Developmental and Educational Psychology (885 citations) and Sociology and Political Science (581 citations). Published in Medical Entomology and Zoology.

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/w51408289.

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