A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS

Eck, Nees Jan van; Waltman, Ludo; Dekker, Rommert; Berg, Jan van den

doi:10.1002/asi.21421

Cited by 622 publications

(372 citation statements)

References 52 publications

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“…Among the included candidates, the top 25 with most co-authorship links to each other were selected, and their co-authorship links within this network were mapped. VOSviewer creates network maps using the VOS layout and VOS clustering techniques 12,13 . As a result, countries/regions that coauthor with each other more frequently would be grouped into the same cluster and located closer to each other within the network map.…”

Section: Bibliometric Analysis Of Neuroimaging Literaturementioning

confidence: 99%

A Bibliometric Review of Research Trends in Neuroimaging

Yeung

Goto

Leung³

2017

Current Science

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Neuroimaging is one of the important medical imaging domains that help diagnose and manage diseases. This study describes the neuroimaging publication outputs sorted by journals, countries, authors and institutions, and evaluates journal performance using metrics based on publication data from 2003 to 2014 indexed in the Web of Science and Journal Citation Reports. There has been a significant growth in the neuroimaging literature with North America and Europe being the main contributors. Magnetic resonance imaging is the most popular imaging modality, and brain connectivity is one of the hotspots. Top journals within the field have improved performances over the study period.

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Section: Bibliometric Analysis Of Neuroimaging Literaturementioning

confidence: 99%

A Bibliometric Review of Research Trends in Neuroimaging

Yeung

Goto

Leung³

2017

Current Science

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“…In view of this continuous and interconnected flow of interests, scientific and research activities are often considered as self-organizing communities (An, Janssen, & Milios, 2002). The nature of the relationships and structure of the communities are represented in what is known as a "bibliometrics map" or "science map" (Buter, Noyons, Van Mackelenbergh, & Laine, 2006;van Eck, Waltman, Dekker, & Van den Berg, 2010). Science maps are symbolic representations of scientific fields or organizations in which the elements of the map are associated with topics or themes.…”

Section: Co-word Analysis Mapping and Visualizationmentioning

confidence: 99%

A bibliometric mapping of the structure of STEM education using co‐word analysis

Assefa

Rorissa

2013

J Am Soc Inf Sci Tec

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STEM, a set of fields that includes science, technology, engineering, and mathematics; allied disciplines ranging from environmental, agricultural, and earth sciences to life science and computer science; and education and training in these fields, is clearly at the top of the list of priority funding areas for governments, including the United States government. The U.S. has 11 federal agencies dedicated to supporting programs and providing funding for research and curriculum development. The domain of STEM education has significant implications in preparing the desired workforce with the requisite knowledge, developing appropriate curricula, providing teachers the necessary professional development, focusing research dollars on areas that have maximum impact, and developing national educational policy and standards. A complex undertaking such as STEM education, which attracts interest and valuable resources from a number of stakeholders needs to be well understood. In light of this, we attempt to describe the underlying structure of STEM education, its core areas, and their relationships through co-word analyses of the titles, keywords, and abstracts of the relevant literature using visualization and bibliometric mapping tools. Implications are drawn with respect to the nature of STEM education as well as curriculum and policy development.

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“…• VOS (van Eck & Waltman, 2007) stands for 'visualization of similarities' and is a variant of multidimensional scaling (Borg & Groenen, 2005;van Eck, Waltman, Dekker, & van den Berg, 2010). It is implemented in VOSviewer and in recent versions of Pajek.…”

Section: Datamentioning

confidence: 99%

Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters

Rahman

Guns

Rousseau

et al. 2015

Journal of Informetrics

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Discipline-specific research evaluation exercises are typically carried out by panels of peers, known as expert panels. To the best of our knowledge, no methods are available to measure overlap in expertise between an expert panel and the units under evaluation. This paper explores bibliometric approaches to determine this overlap, using two research evaluations of the departments of Chemistry (2009) and Physics (2010) of the University of Antwerp as a test case. We explore the usefulness of overlay mapping on a global map of science (with Web of Science subject categories) to gauge overlap of expertise and introduce a set of methods to determine an entity's barycenter according to its publication output. Barycenters can be calculated starting from a similarity matrix of subject categories (N-dimensions) or from a visualization thereof (2-dimensions). We compare the results of the N-dimensional method with those of two 2-dimensional ones (Kamada-Kawai maps and VOS maps) and find that they yield very similar results. The distance between barycenters is used as an indicator of expertise overlap. The results reveal that there is some discrepancy between the panel's and the groups' publications in both the Chemistry and the Physics departments. The panels were not as diverse as the groups that were assessed. The match between the Chemistry panel and the Department was better than that between the Physics panel and the Department.

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A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS

Cited by 622 publications

References 52 publications

A Bibliometric Review of Research Trends in Neuroimaging

A Bibliometric Review of Research Trends in Neuroimaging

A bibliometric mapping of the structure of STEM education using co‐word analysis

Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters

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