Journal of Computational and Graphical Statistics
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In The Last Decade
Journal of Computational and Graphical Statistics
1.8k papers receiving 62.2k citations
Fields of papers published in Journal of Computational and Graphical Statistics
This network shows the impact of papers published in Journal of Computational and Graphical Statistics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Computational and Graphical Statistics.
Countries where authors publish in Journal of Computational and Graphical Statistics
This map shows the geographic impact of research published in Journal of Computational and Graphical Statistics. 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 papers published in Journal of Computational and Graphical Statistics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Computational and Graphical Statistics more than expected).
- R: A Language for Data Analysis and Graphics (1996)
- General Methods for Monitoring Convergence of Iterative Simulations (1998)
- R: A Language for Data Analysis and Graphics (1996)
- Unbiased Recursive Partitioning: A Conditional Inference Framework (2006)
- Sparse Principal Component Analysis (2006)
- General Methods for Monitoring Convergence of Iterative Simulations (1998)
- The Multilinear Engine—A Table-Driven, Least Squares Program for Solving Multilinear Problems, Including the<i>n</i>-Way Parallel Factor Analysis Model (1999)
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.