CiteSpace II: visualization and knowledge discovery in bibliographic databases.

677 indexed citations

Abstract

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About

This paper, published in 2005, received 677 indexed citations. Written by Marie Synnestvedt, Chaomei Chen and John H. Holmes covering the research area of Molecular Biology, Statistics, Probability and Uncertainty and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Molecular Biology (140 citations), Surgery (87 citations) and Pulmonary and Respiratory Medicine (86 citations). Published in PubMed.

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Countries where authors are citing CiteSpace II: visualization and knowledge discovery in bibliographic databases.

Specialization
Citations

This map shows the geographic impact of CiteSpace II: visualization and knowledge discovery in bibliographic databases.. 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 CiteSpace II: visualization and knowledge discovery in bibliographic databases. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CiteSpace II: visualization and knowledge discovery in bibliographic databases. more than expected).

Fields of papers citing CiteSpace II: visualization and knowledge discovery in bibliographic databases.

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of CiteSpace II: visualization and knowledge discovery in bibliographic databases.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the CiteSpace II: visualization and knowledge discovery in bibliographic databases..

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/w67185374.

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