Dynamic Documents with R and knitr

395 indexed citations
published 2016
Authors
Yihui Xie

In The Last Decade

doi.org/10.1201/b15166 →

Countries where authors are citing Dynamic Documents with R and knitr

Specialization
Citations

This map shows the geographic impact of Dynamic Documents with R and knitr. 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 Dynamic Documents with R and knitr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dynamic Documents with R and knitr more than expected).

Fields of papers citing Dynamic Documents with R and knitr

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Dynamic Documents with R and knitr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Dynamic Documents with R and knitr.

About Dynamic Documents with R and knitr

This paper, published in 2016, received 395 indexed citations . Written by Yihui Xie. It is primarily cited by scholars working on Artificial Intelligence (78 citations), Statistics and Probability (40 citations) and Molecular Biology (38 citations).

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/b15166.

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