Sex bias in work settings: The Lack of Fit model.
Impact in
- Gender Studies 505
Classified as
- Authors
- Madeline E. Heilman
In The Last Decade
doi.org/w17919494 →Countries where authors are citing Sex bias in work settings: The Lack of Fit model.
This map shows the geographic impact of Sex bias in work settings: The Lack of Fit model.. 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 Sex bias in work settings: The Lack of Fit model. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sex bias in work settings: The Lack of Fit model. more than expected).
Fields of papers citing Sex bias in work settings: The Lack of Fit model.
This network shows the impact of Sex bias in work settings: The Lack of Fit model.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Sex bias in work settings: The Lack of Fit model..
About Sex bias in work settings: The Lack of Fit model.
This paper, published in 1983, received 684 indexed citations . Written by Madeline E. Heilman covering the research area of Gender Studies. It is primarily cited by scholars working on Gender Studies (505 citations), Sociology and Political Science (337 citations), Organizational Behavior and Human Resource Management (207 citations), Social Psychology (89 citations) and Management of Technology and Innovation (70 citations). Published in Research in Organizational Behavior.
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/w17919494.