Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25

5.9k indexed citations
published 2018

In The Last Decade

doi.org/w63216126 →

Countries where authors are citing Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25

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This map shows the geographic impact of Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25. 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 Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25 more than expected).

Fields of papers citing Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25.

About Aplikasi Analisis Multivariate Dengan Program IBM SPSS 25

This paper, published in 2018, received 5.9k indexed citations . covering the research area of Strategy and Management and Artificial Intelligence. It is primarily cited by scholars working on Accounting (2.4k citations), Strategy and Management (2.0k citations) and Demography (1.8k 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/w63216126.

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