Equal Opportunity Law and the Construction of Internal Labor Markets

418 indexed citations

Abstract

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About

This paper, published in 1993, received 418 indexed citations. Written by Frank Dobbin, John R. Sutton, John W. Meyer and Richard D. Scott covering the research area of Political Science and International Relations and Public Administration. It is primarily cited by scholars working on Sociology and Political Science (148 citations), Organizational Behavior and Human Resource Management (142 citations) and Public Administration (128 citations). Published in Digital Access to Scholarship at Harvard (DASH) (Harvard University).

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Countries where authors are citing Equal Opportunity Law and the Construction of Internal Labor Markets

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Citations

This map shows the geographic impact of Equal Opportunity Law and the Construction of Internal Labor Markets. 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 Equal Opportunity Law and the Construction of Internal Labor Markets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Equal Opportunity Law and the Construction of Internal Labor Markets more than expected).

Fields of papers citing Equal Opportunity Law and the Construction of Internal Labor Markets

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Equal Opportunity Law and the Construction of Internal Labor Markets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Equal Opportunity Law and the Construction of Internal Labor Markets.

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/w2891339.

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