Generating clustered journal maps: an automated system for hierarchical classification

Leydesdorff, Loet; Bornmann, Lutz; Wagner, Caroline S.

doi:10.1007/s11192-016-2226-5

Cited by 46 publications

(33 citation statements)

References 38 publications

(50 reference statements)

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“…On the basis of a topic model, Nichols ( 2014 , p. 747) concluded that 89% of the portfolio of the Directorate for Social, Behavioral, and Economic Sciences (SBE) of the US National Science Foundation is “comprised of IDR (interdisciplinary research)—with 55% of the portfolio identified as having external interdisciplinarity and 34% of the portfolio comprised of awards with internal interdisciplinarity. When dollar amounts are taken into account, 93% of this portfolio is comprised of IDR (…).” Although this result may be partly an effect of the methods used (Leydesdorff and Nerghes 2017 ), these impressive percentages show, in our opinion, the responsiveness of (social) scientists to calls for interdisciplinarity by funding agencies.…”

Section: Introductionmentioning

confidence: 70%

“…In this previous study we used the 8707 journals included in the Journal Citation Reports (JCR) 2008, and explored a number of measures of interdisciplinarity and diversity, also detailed in Wagner et al ( 2011 ). In this study, we build on the statistical decomposition of the JCR data 2015 (11,365 journals) using VOSviewer (Leydesdorff et al 2017 ). A statistical decomposition, however, does not have to be semantically meaningful (Rafols and Leydesdorff 2009 ).…”

Section: Introductionmentioning

confidence: 99%

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Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

2017

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Journals were central to Eugene Garfield's research interests. Among other things, journals are considered as units of analysis for bibliographic databases such as the Web of Science and Scopus. In addition to providing a basis for disciplinary classifications of journals, journal citation patterns span networks across boundaries to variable extents. Using betweenness centrality (BC) and diversity, we elaborate on the question of how to distinguish and rank journals in terms of interdisciplinarity. Interdisciplinarity, however, is difficult to operationalize in the absence of an operational definition of disciplines; the diversity of a unit of analysis is sample-dependent. BC can be considered as a measure of multi-disciplinarity. Diversity of co-citation in a citing document has been considered as an indicator of knowledge integration, but an author can also generate trans-disciplinary-that is, non-disciplined-variation by citing sources from other disciplines. Diversity in the bibliographic coupling among citing documents can analogously be considered as diffusion or differentiation of knowledge across disciplines. Because the citation networks in the cited direction reflect both structure and variation, diversity in this direction is perhaps the best available measure of interdisciplinarity at the journal level. Furthermore, diversity is based on a summation and can therefore be decomposed; differences among (sub)sets can be tested for statistical significance. In the appendix, a general-purpose routine for measuring diversity in networks is provided.

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Section: Introductionmentioning

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

2017

Self Cite

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“…The visualization of the SPJ is based on the use of multidimensional scaling (or MDS) (cf. Zhu et al (2015); Palla et al (2015); Leydesdorff et al (2017)). MDS is a technique that represents similarity data as distances between points in low-dimensional geometric space Borg et al (2013).…”

Section: Resultsmentioning

confidence: 99%

The “space of physics journals”: topological structure and the Journal Impact Factor

Katchanov

Markova

2017

Scientometrics

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The empirical distribution function of citations to journal articles (EDF for short) can become the fundamental tool for analyzing the scientific journals. Endeavors at making bibliometric analysis independent of the intuition of average citation levels have led us to the study of qualitative properties of physics journals in the functional space of EDFs. We show that the structure of this space establishes the connections and relationships that determine the essential features of physics journals. The research provides an analysis of 240 physics journals indexed in Journal Citation Reports 2015. The relevance of EDFs clustering is discussed. Our findings reveal four-cluster space of physics journals. The space brings to light the essential distinctions between physics journals and shows different level of influence of scientific publishers belonging to different types (professional physics societies, transnational and local publishers). The study of EDFs grouped by publishers reveals two binary oppositions that structure relations between them: "global -local" publishers and "high cited -low cited" publishers.

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“…A modified bibliometric analysis method proposed by Rizzi [9] and Leydesdorff [10] was applied in the work. The following stages of analysis were adopted: 1.…”

Section: Methodsmentioning

confidence: 99%

Bibliometric analysis of research trends in engineering for rural development

Knapczyk

Francik

Pedryc

et al. 2018

Engineering for Rural Development

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Abstract. Bibliometric analysis of publications allows to quantify researchers' interests in this specific topic. This method enables the identification of key authors, who are publishing in this area. It is necessary to define research trends, which have developed in this specific field. It enables to determinate the main research topics, discoveries and correlations in the global knowledge network. The purpose of this work was to identify the trends and research topics in engineering for rural development. The modified method of bibliometric analysis was used, bibliometric analysis of the key word frequency of occurrence and the linkages between the key words. The analysis was performed using bibliometirc post-conference materials of the International Scientific Conference Engineering for Rural Development in Jelgava in the years 2012-2017 downloaded from Web of Science database. The data have been processed and cleaned, then analysed in VOSviewer. This program is used for creating and graphic visualisation of bibliometric maps. VOSviewer utilized the method of "visualization of similarities" VOS. In this work the program was used to create maps of terms in the version of "thermic maps". The main research topics have been presented in the form of associated networks. The last stage was detailed topical analysis and classification into groups according to selected criteria. The provided research enabled an identification of lines of the research. The main research topics in all research period were: energy qualities of plant materials, alternative fuel (biomass, biodiesel, biogas), renewable energy sources, modelling, optimisation and stimulation of processes, mechanisation of plant production and many more. This analysis can be used as a literature review in the selected knowledge area.

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Generating clustered journal maps: an automated system for hierarchical classification

Cited by 46 publications

References 38 publications

Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

The “space of physics journals”: topological structure and the Journal Impact Factor

Bibliometric analysis of research trends in engineering for rural development

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