Multivariate Data Analysis with Readings.

4.3k indexed citations
published 1988

Countries where authors are citing Multivariate Data Analysis with Readings.

Specialization
Citations

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

Fields of papers citing Multivariate Data Analysis with Readings.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multivariate Data Analysis with Readings.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multivariate Data Analysis with Readings..

About Multivariate Data Analysis with Readings.

This paper, published in 1988, received 4.3k indexed citations . Written by Joseph F. Hair, Ronald C. Anderson and Ronald L. Tatham. It is primarily cited by scholars working on Sociology and Political Science (1.1k citations), Organizational Behavior and Human Resource Management (1.0k citations) and Information Systems and Management (869 citations). Published in Journal of the Royal Statistical Society Series A (Statistics in Society).

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/10.2307/2983017.

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