Randomization and Monte Carlo Methods in Biology.
- Authors
- Robert V. FoutzBryan F. J. Manly
In The Last Decade
doi.org/10.2307/2290299 →Countries where authors are citing Randomization and Monte Carlo Methods in Biology.
This map shows the geographic impact of Randomization and Monte Carlo Methods in Biology.. 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 Randomization and Monte Carlo Methods in Biology. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randomization and Monte Carlo Methods in Biology. more than expected).
Fields of papers citing Randomization and Monte Carlo Methods in Biology.
This network shows the impact of Randomization and Monte Carlo Methods in Biology.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Randomization and Monte Carlo Methods in Biology..
About Randomization and Monte Carlo Methods in Biology.
This paper, published in 1992, received 1.5k indexed citations . Written by Robert V. Foutz and Bryan F. J. Manly covering the research area of Plant Science. It is primarily cited by scholars working on Ecology (592 citations), Ecology, Evolution, Behavior and Systematics (448 citations) and Nature and Landscape Conservation (428 citations). Published in Journal of the American Statistical Association.
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/10.2307/2290299.