The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
Impact in
- Ecology 140
Classified as
- Authors
- Thorsten Pohlert
In The Last Decade
doi.org/w86318522 →Countries where authors are citing The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
This map shows the geographic impact of The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR). 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 The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR) more than expected).
Fields of papers citing The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
This network shows the impact of The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR).
About The Pairwise Multiple Comparison of Mean Ranks Package (PMCMR)
This paper, published in 2016, received 573 indexed citations . Written by Thorsten Pohlert covering the research area of Statistics and Probability and Management Science and Operations Research. It is primarily cited by scholars working on Ecology (140 citations), Nature and Landscape Conservation (97 citations), Global and Planetary Change (83 citations), Ecology, Evolution, Behavior and Systematics (81 citations) and Plant Science (77 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/w86318522.