Clinical applications of cone-beam computed tomography in dental practice.

1.1k indexed citations
published 2006
Journal
PubMed

In The Last Decade

doi.org/w40873860 →

Countries where authors are citing Clinical applications of cone-beam computed tomography in dental practice.

Specialization
Citations

This map shows the geographic impact of Clinical applications of cone-beam computed tomography in dental practice.. 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 Clinical applications of cone-beam computed tomography in dental practice. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinical applications of cone-beam computed tomography in dental practice. more than expected).

Fields of papers citing Clinical applications of cone-beam computed tomography in dental practice.

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Clinical applications of cone-beam computed tomography in dental practice.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Clinical applications of cone-beam computed tomography in dental practice..

About Clinical applications of cone-beam computed tomography in dental practice.

This paper, published in 2006, received 1.1k indexed citations . Written by William C. Scarfe and Allan G. Farman covering the research area of Biomedical Engineering and Oral Surgery. It is primarily cited by scholars working on Oral Surgery (923 citations), Orthodontics (237 citations) and Biomedical Engineering (208 citations). Published in PubMed.

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/w40873860.

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