Nonparametric estimation of the number of classes in a population
Impact in
- Ecology 1.5k
- Molecular Biology 1.0k
Classified as
- Authors
- Anne Chao
In The Last Decade
doi.org/w7403680 →Countries where authors are citing Nonparametric estimation of the number of classes in a population
This map shows the geographic impact of Nonparametric estimation of the number of classes in a population. 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 Nonparametric estimation of the number of classes in a population with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nonparametric estimation of the number of classes in a population more than expected).
Fields of papers citing Nonparametric estimation of the number of classes in a population
This network shows the impact of Nonparametric estimation of the number of classes in a population. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Nonparametric estimation of the number of classes in a population.
About Nonparametric estimation of the number of classes in a population
This paper, published in 1984, received 3.6k indexed citations . Written by Anne Chao covering the research area of Statistics and Probability and Artificial Intelligence. It is primarily cited by scholars working on Ecology (1.5k citations), Molecular Biology (1.0k citations), Nature and Landscape Conservation (555 citations), Ecology, Evolution, Behavior and Systematics (554 citations) and Plant Science (494 citations). Published in Scandinavian Journal of Statistics.
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/w7403680.