Multivariate data analysis (4th ed.): with readings

1.8k indexed citations
published 1995

Countries where authors are citing Multivariate data analysis (4th ed.): with readings

Specialization
Citations

This map shows the geographic impact of Multivariate data analysis (4th ed.): 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 (4th ed.): 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 (4th ed.): with readings more than expected).

Fields of papers citing Multivariate data analysis (4th ed.): with readings

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multivariate data analysis (4th ed.): 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 (4th ed.): with readings.

About Multivariate data analysis (4th ed.): with readings

This paper, published in 1995, received 1.8k indexed citations . Written by Joseph F. Hair, Ronald C. Anderson, Ronald L. Tatham and William C. Black. It is primarily cited by scholars working on Sociology and Political Science (442 citations), Organizational Behavior and Human Resource Management (420 citations) and Strategy and Management (385 citations).

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/w75700675.

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