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Klavans, R.; Boyack, K.W.: Toward a consensus map of science (2009)
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- Date
- 22. 3.2009 12:49:33
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.455-476
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Boyack, K.W.; Wylie,B.N.; Davidson, G.S.: Information Visualization, Human-Computer Interaction, and Cognitive Psychology : Domain Visualizations (2002)
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- Date
- 22. 2.2003 17:25:39
22. 2.2003 18:17:40
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Boyack, K.W.; Klavans, R.: Creation of a highly detailed, dynamic, global model and map of science (2014)
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- Abstract
- The majority of the effort in metrics research has addressed research evaluation. Far less research has addressed the unique problems of research planning. Models and maps of science that can address the detailed problems associated with research planning are needed. This article reports on the creation of an article-level model and map of science covering 16 years and nearly 20 million articles using cocitation-based techniques. The map is then used to define discipline-like structures consisting of natural groupings of articles and clusters of articles. This combination of detail and high-level structure can be used to address planning-related problems such as identification of emerging topics and the identification of which areas of science and technology are innovative and which are simply persisting. In addition to presenting the model and map, several process improvements that result in greater accuracy structures are detailed, including a bibliographic coupling approach for assigning current papers to cocitation clusters and a sequential hybrid approach to producing visual maps from models.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.4, S.670-685
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Klavans, K.; Boyack, K.W.: Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? (2017)
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- Abstract
- In 1965, Price foresaw the day when a citation-based taxonomy of science and technology would be delineated and correspondingly used for science policy. A taxonomy needs to be comprehensive and accurate if it is to be useful for policy making, especially now that policy makers are utilizing citation-based indicators to evaluate people, institutions and laboratories. Determining the accuracy of a taxonomy, however, remains a challenge. Previous work on the accuracy of partition solutions is sparse, and the results of those studies, although useful, have not been definitive. In this study we compare the accuracies of topic-level taxonomies based on the clustering of documents using direct citation, bibliographic coupling, and co-citation. Using a set of new gold standards-articles with at least 100 references-we find that direct citation is better at concentrating references than either bibliographic coupling or co-citation. Using the assumption that higher concentrations of references denote more accurate clusters, direct citation thus provides a more accurate representation of the taxonomy of scientific and technical knowledge than either bibliographic coupling or co-citation. We also find that discipline-level taxonomies based on journal schema are highly inaccurate compared to topic-level taxonomies, and recommend against their use.
- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.4, S.984-998
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Boyack, K.W.; Small, H.; Klavans, R.: Improving the accuracy of co-citation clustering using full text (2013)
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- Source
- Journal of the American Society for Information Science and Technology. 64(2013) no.9, S.1759-17676
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Colavizza, G.; Boyack, K.W.; Eck, N.J. van; Waltman, L.: ¬The closer the better : similarity of publication pairs at different cocitation levels (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.4, S.600-609
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Boyack, K.W.; Wylie, B.N.; Davidson, G.S.: Domain visualization using VxInsight®) [register mark] for science and technology management (2002)
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- Source
- Journal of the American Society for Information Science and Technology. 53(2002) no.9, S.764-774
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Klavans, R.; Boyack, K.W.: Identifying a better measure of relatedness for mapping science (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.2, S.251-263
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Boyack, K.W.; Klavans, R.: Co-citation analysis, bibliographic coupling, and direct citation : which citation approach represents the research front most accurately? (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2389-2404
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Klavans, R.; Boyack, K.W.: Using global mapping to create more accurate document-level maps of research fields (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.1-18
-
Börner, K.; Chen, C.; Boyack, K.W.: Visualizing knowledge domains (2002)
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- Source
- Annual review of information science and technology. 37(2003), S.179-258
