Understanding interobserver agreement: the kappa statistic.

5.8k indexed citations

Abstract

loading...

About

This paper, published in 2005, received 5.8k indexed citations. Written by Anthony J. Viera and Joanne M. Garrett covering the research area of Statistics and Probability, Surgery and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Surgery (675 citations), Public Health, Environmental and Occupational Health (598 citations) and Epidemiology (589 citations). Published in PubMed.

In The Last Decade

doi.org/w46140568 →

Countries where authors are citing Understanding interobserver agreement: the kappa statistic.

Specialization
Citations

This map shows the geographic impact of Understanding interobserver agreement: the kappa statistic.. 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 Understanding interobserver agreement: the kappa statistic. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Understanding interobserver agreement: the kappa statistic. more than expected).

Fields of papers citing Understanding interobserver agreement: the kappa statistic.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Understanding interobserver agreement: the kappa statistic.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Understanding interobserver agreement: the kappa statistic..

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/w46140568.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026