Understanding robust and exploratory data analysis
Impact in
- Journal
- Wiley eBooks
In The Last Decade
doi.org/w7695878 →Countries where authors are citing Understanding robust and exploratory data analysis
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
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.
About Understanding robust and exploratory data analysis
This paper, published in 1983, received 1.5k indexed citations . Written by David C. Hoaglin, Frederick Mosteller and John W. Tukey. It is primarily cited by scholars working on Statistics and Probability (277 citations), Artificial Intelligence (170 citations), Statistics, Probability and Uncertainty (132 citations), Global and Planetary Change (113 citations) and Computer Vision and Pattern Recognition (105 citations). Published in Wiley eBooks.
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/w7695878.