Attention and Self-Regulation : A Control-Theory Approach to Human Behavior

1.9k indexed citations
published 1981
Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w39713646 →

Countries where authors are citing Attention and Self-Regulation : A Control-Theory Approach to Human Behavior

Specialization
Citations

This map shows the geographic impact of Attention and Self-Regulation : A Control-Theory Approach to Human Behavior. 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 Attention and Self-Regulation : A Control-Theory Approach to Human Behavior with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attention and Self-Regulation : A Control-Theory Approach to Human Behavior more than expected).

Fields of papers citing Attention and Self-Regulation : A Control-Theory Approach to Human Behavior

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Attention and Self-Regulation : A Control-Theory Approach to Human Behavior. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Attention and Self-Regulation : A Control-Theory Approach to Human Behavior.

About Attention and Self-Regulation : A Control-Theory Approach to Human Behavior

This paper, published in 1981, received 1.9k indexed citations . Written by Charles S. Carver and Michael F. Scheier. It is primarily cited by scholars working on Social Psychology (800 citations), Applied Psychology (654 citations) and Experimental and Cognitive Psychology (498 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/w39713646.

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