Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors

149 indexed citations

Abstract

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This paper, published in 1990, received 149 indexed citations. Written by Janice M. Brown covering the research area of Health. It is primarily cited by scholars working on Clinical Psychology (63 citations), Applied Psychology (61 citations) and Epidemiology (50 citations). Published in .

In The Last Decade

doi.org/w70002581 →

Countries where authors are citing Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors

Specialization
Citations

This map shows the geographic impact of Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors. 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-regulation as a conceptual basis for the prevention and treatment of addictive behaviors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors more than expected).

Fields of papers citing Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Self-regulation as a conceptual basis for the prevention and treatment of addictive behaviors.

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/w70002581.

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