Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation
- Journal
- American Journal of Sociology
In The Last Decade
doi.org/10.1086/343191 →Countries where authors are citing Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation
This map shows the geographic impact of Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation. 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 Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation more than expected).
Fields of papers citing Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation
This network shows the impact of Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation.
About Gender, Crime, and Desistance: Toward a Theory of Cognitive Transformation
This paper, published in 2002, received 1.2k indexed citations . Written by Peggy C. Giordano, Stephen A. Cernkovich and Jennifer L. Rudolph covering the research area of General Health Professions and Sociology and Political Science. It is primarily cited by scholars working on Sociology and Political Science (1.1k citations), General Health Professions (490 citations) and Clinical Psychology (484 citations). Published in American Journal of Sociology.
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/10.1086/343191.