Conducting Meta-Analyses in R with the metafor Package

1.4k indexed citations
published 2010
Journal
SHILAP Revista de lepidopterología

In The Last Decade

doi.org/w50855839 →

Countries where authors are citing Conducting Meta-Analyses in R with the metafor Package

Specialization
Citations

This map shows the geographic impact of Conducting Meta-Analyses in R with the metafor Package. 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 Conducting Meta-Analyses in R with the metafor Package with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conducting Meta-Analyses in R with the metafor Package more than expected).

Fields of papers citing Conducting Meta-Analyses in R with the metafor Package

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Conducting Meta-Analyses in R with the metafor Package. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Conducting Meta-Analyses in R with the metafor Package.

About Conducting Meta-Analyses in R with the metafor Package

This paper, published in 2010, received 1.4k indexed citations . Written by Wolfgang Viechtbauer covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Surgery (149 citations), Clinical Psychology (134 citations) and Cognitive Neuroscience (134 citations). Published in SHILAP Revista de lepidopterología.

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/w50855839.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026