Kevin W. Boyack

Learn More
This chapter reviews visualization techniques that can not only be utilized to map the evergrowing domain structure of scientific disciplines but that also support information retrieval and classification. In contrast to the comprehensive surveys done in a traditional way by Howard White and Katherine McCain (1997; 1998), the current survey not only reviews(More)
A consensus map of science is generated from an analysis of 20 existing maps of science. These 20 maps occur in three basic forms: hierarchical, centric, and noncentric (or circular). The consensus map, generated from consensus edges that occur in at least half of the input maps, emerges in a circular form. The ordering of areas is as follows: mathematics(More)
In the past several years studies have started to appear comparing the accuracies of various science mapping approaches. These studies primarily compare the cluster solutions resulting from different similarity approaches, and give varying results. In this study, we compare the accuracies of cluster solutions of a large corpus of 2,153,769 recent articles(More)
This paper presents a new map representing the structure of all of science, based on journal articles, including both the natural and social sciences. Similar to cartographic maps of our world, the map of science provides a bird’s eye view of today’s scientific landscape. It can be used to visually identify major areas of science, their size, similarity,(More)
Interdisciplinary scientific research (IDR) extends and challenges the study of science on a number of fronts, including creating output science and engineering (S&E) indicators. This literature review began with a narrow search for quantitative measures of the output of IDR that could contribute to indicators, but the authors expanded the scope of the(More)
BACKGROUND We investigate the accuracy of different similarity approaches for clustering over two million biomedical documents. Clustering large sets of text documents is important for a variety of information needs and applications such as collection management and navigation, summary and analysis. The few comparisons of clustering results from different(More)
of the structure and dynamics of science) to practical (e.g., designing effective information retrieval and decision-support systems). Some researchers prefer focusing on intercitation (who cites whom) or cocitations (who is cited together in the same bibliography). Some are interested in the co-occurrence of words or authors. Some use simple measures such(More)
How does our collective scholarly knowledge grow over time? What major areas of science exist and how are they interlinked? Which areas are major knowledge producers; which ones are consumers? Computational scientometrics — the application of bibliometric/scientometric methods to large-scale scholarly datasets — and the communication of results via maps of(More)
This article describes recent improvements in mapping the world-wide scientific literature. Existing research is extended in three ways. First, a method for generating maps directly from the data on the relationships between hundreds of thousands of documents is presented. Second, quantitative techniques for evaluating these large maps of science are(More)