Understanding robust and exploratory data analysis

1.5k indexed citations

Abstract

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About

This paper, published in 1983, received 1.5k indexed citations. Written by David C. Hoaglin, Frederick Mosteller and John W. Tukey covering the research area of . It is primarily cited by scholars working on Statistics and Probability (280 citations), Artificial Intelligence (172 citations) and Statistics, Probability and Uncertainty (138 citations). Published in Wiley eBooks.

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Countries where authors are citing Understanding robust and exploratory data analysis

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This map shows the geographic impact of Understanding robust and exploratory data analysis. 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 Understanding robust and exploratory data analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Understanding robust and exploratory data analysis more than expected).

Fields of papers citing Understanding robust and exploratory data analysis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Understanding robust and exploratory data analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Understanding robust and exploratory data analysis.

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/w9358094.

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