Hierarchical Grouping to Optimize an Objective Function

2.0k indexed citations

Abstract

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About

This paper, published in 1963, received 2.0k indexed citations. Written by Joe H. Ward covering the research area of Organic Chemistry. It is primarily cited by scholars working on Plant Science (283 citations), Artificial Intelligence (265 citations) and Molecular Biology (212 citations). Published in Journal of the American Statistical Association.

In The Last Decade

doi.org/10.2307/2282967 →

Countries where authors are citing Hierarchical Grouping to Optimize an Objective Function

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Citations

This map shows the geographic impact of Hierarchical Grouping to Optimize an Objective Function. 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 Hierarchical Grouping to Optimize an Objective Function with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hierarchical Grouping to Optimize an Objective Function more than expected).

Fields of papers citing Hierarchical Grouping to Optimize an Objective Function

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Hierarchical Grouping to Optimize an Objective Function. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Hierarchical Grouping to Optimize an Objective Function.

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/10.2307/2282967.

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