Exploratory Multivariate Analysis by Example Using R
- Journal
- HAL (Le Centre pour la Communication Scientifique Directe)
In The Last Decade
doi.org/10.1201/b21874 →Countries where authors are citing Exploratory Multivariate Analysis by Example Using R
This map shows the geographic impact of Exploratory Multivariate Analysis by Example Using R. 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 Exploratory Multivariate Analysis by Example Using R with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Exploratory Multivariate Analysis by Example Using R more than expected).
Fields of papers citing Exploratory Multivariate Analysis by Example Using R
This network shows the impact of Exploratory Multivariate Analysis by Example Using R. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Exploratory Multivariate Analysis by Example Using R.
About Exploratory Multivariate Analysis by Example Using R
This paper, published in 2017, received 410 indexed citations . Written by François Husson, Sébastien Lê and Jérôme Pagès covering the research area of Statistics and Probability, Food Science and Analytical Chemistry. It is primarily cited by scholars working on Plant Science (55 citations), Global and Planetary Change (47 citations) and Ecology (44 citations). Published in HAL (Le Centre pour la Communication Scientifique Directe).
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/10.1201/b21874.