Simplified Statistics for Small Numbers of Observations

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This paper, published in 1950, received 764 indexed citations. Written by W. J. Dixon covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Molecular Biology (122 citations), Analytical Chemistry (72 citations) and Biomedical Engineering (64 citations). Published in Analytical Chemistry.

Countries where authors are citing Simplified Statistics for Small Numbers of Observations

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Citations

This map shows the geographic impact of Simplified Statistics for Small Numbers of Observations. 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 Simplified Statistics for Small Numbers of Observations with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simplified Statistics for Small Numbers of Observations more than expected).

Fields of papers citing Simplified Statistics for Small Numbers of Observations

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Simplified Statistics for Small Numbers of Observations. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Simplified Statistics for Small Numbers of Observations.

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/10.1021/ac60052a025.

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