The health care data guide: learning from data for improvement

627 indexed citations

Abstract

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This paper, published in 2011, received 627 indexed citations. Written by Lloyd Provost covering the research area of Health Information Management. It is primarily cited by scholars working on General Health Professions (178 citations), Emergency Medicine (118 citations) and Epidemiology (109 citations). Published in CERN Document Server (European Organization for Nuclear Research).

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Countries where authors are citing The health care data guide: learning from data for improvement

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Citations

This map shows the geographic impact of The health care data guide: learning from data for improvement. 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 The health care data guide: learning from data for improvement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The health care data guide: learning from data for improvement more than expected).

Fields of papers citing The health care data guide: learning from data for improvement

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The health care data guide: learning from data for improvement. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The health care data guide: learning from data for improvement.

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/w1710328.

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