Modeling Multilevel Data Structures

1.1k indexed citations

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About

This paper, published in 2002, received 1.1k indexed citations. Written by Marco R. Steenbergen and Bradford Jones covering the research area of Gender Studies, Strategy and Management and Political Science and International Relations. It is primarily cited by scholars working on Political Science and International Relations (700 citations), Sociology and Political Science (516 citations) and Economics and Econometrics (151 citations). Published in American Journal of Political Science.

In The Last Decade

doi.org/10.2307/3088424 →

Countries where authors are citing Modeling Multilevel Data Structures

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This map shows the geographic impact of Modeling Multilevel Data Structures. 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 Modeling Multilevel Data Structures with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Modeling Multilevel Data Structures more than expected).

Fields of papers citing Modeling Multilevel Data Structures

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Modeling Multilevel Data Structures. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Modeling Multilevel Data Structures.

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/10.2307/3088424.

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