Methods For Community - Based Participatory Research For Health

1.2k indexed citations
published 2013
Journal
DigitalGeorgetown (Georgetown University Library)

In The Last Decade

doi.org/w7199808 →

Countries where authors are citing Methods For Community - Based Participatory Research For Health

Specialization
Citations

This map shows the geographic impact of Methods For Community - Based Participatory Research For Health. 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 Methods For Community - Based Participatory Research For Health with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Methods For Community - Based Participatory Research For Health more than expected).

Fields of papers citing Methods For Community - Based Participatory Research For Health

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Methods For Community - Based Participatory Research For Health. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Methods For Community - Based Participatory Research For Health.

About Methods For Community - Based Participatory Research For Health

This paper, published in 2013, received 1.2k indexed citations . Written by Barbara A. Israel and David Satcher covering the research area of General Health Professions. It is primarily cited by scholars working on General Health Professions (744 citations), Sociology and Political Science (309 citations) and Public Health, Environmental and Occupational Health (195 citations). Published in DigitalGeorgetown (Georgetown University Library).

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/w7199808.

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