Issues in the meta‐analysis of cluster randomized trials

536 indexed citations

Abstract

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About

This paper, published in 2002, received 536 indexed citations. Written by Allan Donner and Neil Klar covering the research area of Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. It is primarily cited by scholars working on Psychiatry and Mental health (372 citations), Clinical Psychology (157 citations) and Philosophy (114 citations). Published in Statistics in Medicine.

In The Last Decade

doi.org/10.1002/sim.1301 →

Countries where authors are citing Issues in the meta‐analysis of cluster randomized trials

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This map shows the geographic impact of Issues in the meta‐analysis of cluster randomized trials. 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 Issues in the meta‐analysis of cluster randomized trials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Issues in the meta‐analysis of cluster randomized trials more than expected).

Fields of papers citing Issues in the meta‐analysis of cluster randomized trials

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Issues in the meta‐analysis of cluster randomized trials. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Issues in the meta‐analysis of cluster randomized trials.

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/10.1002/sim.1301.

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