Scientometrics (SCIENTOMETRICS )

Publisher: Springer Verlag

Description

Scientometrics aims at publishing original studies short communications preliminary reports review papers letters to the editor and book reviews on scientometrics. The topics covered are results of research concerned with the quantitative features and characteristics of science. Emphasis is placed on investigations in which the development and mechanism of science are studied by means of (statistical) mathematical methods. The Journal also provides the reader with important up-to-date information about international meetings and events in scientometrics and related fields. Appropriate bibliographic compilations are published as a separate section. Due to its fully interdisciplinary character Scientometrics is indispensable to research workers and research administrators throughout the world. It provides valuable assistance to librarians and documentalists in central scientific agencies ministries research institutes and laboratories. Scientometrics includes the Journal of Research Communication Studies. Consequently its aims and scope cover that of the latter namely to bring the results of research investigations together in one place in such a form that they will be of use not only to the investigators themselves but also to the entrepreneurs and research workers who form the object of these studies.

  • Impact factor
    2.27
    Hide impact factor history
     
    Impact factor
  • 5-year impact
    2.21
  • Cited half-life
    6.50
  • Immediacy index
    0.45
  • Eigenfactor
    0.01
  • Article influence
    0.60
  • Website
    Scientometrics website
  • Other titles
    Scientometrics (Online)
  • ISSN
    0138-9130
  • OCLC
    45496762
  • Material type
    Document, Periodical, Internet resource
  • Document type
    Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The object of the present study is the evaluation of the research quality of the three Greek chemical engineering departments (Athens, Thessaloniki, Patras) by means of several advanced bibliometric indices calculated separately for each academic using a twofold approach, namely in department and academic rank level. This allows the ranking of the studied departments, but also sheds light on the distribution of the research activity among the various ranks. In addition, to assess the research profile and background of the current faculty of the Greek chemical engineering departments in International context their research output is compared with that of Massachusetts chemical engineering department, Massachusetts Institute of Technology (MIT). Dependency of the bibliometric indices on seniority is also investigated, conducting the bibliometric analysis using a common time basis for all academics, i.e., research performance during the last decade. Available data are also used to investigate the temporal progress of the research productivity. Finally, gender distribution among the academics of the various ranks is also studied to explore the gender balance in research. In general, bibliometrics demonstrate that Patras department host academics of better quality, with higher scientific activity over the last decade, but superiority of MIT department against the Greek departments is also evident. Results also indicate that no common standards in hiring/promotion of academics are established between the departments. The negative impact of the European socio-economic crisis on the research productivity is also highlighted, while the university system suffers from unequal gender distribution with pronounced male dominance.
    Scientometrics 01/2015;
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    ABSTRACT: In this paper, we explore the longitudinal research collaboration network of ‘Mammography Performance’ over 30 years by creating and analysing a large collaboration network data using Scopus. The study of social networks using longitudinal data may provide new insights into how this collaborative research evolve over time as well as what type of actors influence the whole network in time. The methods and findings presented in this work aim to assist identifying key actors in other research collaboration networks. In doing so, we apply a rank aggregation technique to centrality measures in order to derive a single ranking of influential actors. We argue that there is a strong correlation between the level of degree and closeness centralities of an actor and its influence in the research collaboration network (at macro/country level).
    Scientometrics 01/2015;
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    ABSTRACT: Business portfolio restructuring (BPR) has received considerable attention in the business practice. However, to the best of our knowledge, there are no studies applying extensive qualitative and quantitative methods to address the research into BPR. The aim of this paper is to fill this gap by presenting the first complete bibliometric review about BPR research. In this study, the extant literature published between 1993 and 2012 and their most cited bibliographic references are analyzed using bibliometric techniques. Three main results are found: first, the intellectual basis for this field involves the subjects of management and finance as its principal contributors with economics as its central support. Second, the theoretical platform for the study of BPR deals mainly with the agency approach, transaction costs, and resource-based view. Third, the financial crisis of 2008 explains an important part of current research priorities and trends of BPR academics.
    Scientometrics 12/2014;
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    ABSTRACT: Using bibliometric techniques, this work investigates the evolution of titles in economics research. It attempts to present a complete and accurate picture of systematic changes in the average character number, syllable number, word number and conceptual diversity in the titles over a long period of time. Based on a total of 338,866 academic paper titles in economics published between 1890 and 2012 from the EconLit and the Web of Knowledge, the economics titles were analyzed from the perspectives of social network, computational phonetics and conceptual diversity. The results showed that in the evolution of this discipline, authors were using increasingly more words for their paper titles and the conceptual diversity in paper titles underwent interesting periodic fluctuations over more than 100 years. The 1970s was a decade that achieved special prominence in conceptual diversity and relational complexity of titles.
    Scientometrics 12/2014;
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    ABSTRACT: This study prospectively evaluates the accessibility of Internet references in leading general medical journals and explores the impact of their lost accessibility. We identified all original contributions published in five leading peer-reviewed traditional general medical journals and one leading on-line journal that were published at two time points (January 2005 and January 2008). We followed the sample prospectively for 5 years and determined the number of Internet references that remained accessible. Our sample of 165 original contributions contained 154 Internet references. Accessibility to Internet references declined from 51 % after 4 years to 37 % after 8 years in the articles published in January 2005, and decreased from 78 % after 1 year to 44 % after 5 years in the articles published in January 2008. Among those Internet references published in the most highly-cited articles, only 19 % (95 % CI 10–35 %) remained accessible in March 2013. Among the Internet references cited in the Methods section of the articles, only 30 % (95 % CI 20–43 %) remained accessible. Of the 91 Internet references which were no longer accessible at the end of the follow-up period, 39 (43 %) were assigned a rating of either ‘important’ or ‘very important’. Accessibility of Internet references declines substantially over time most often because the information is updated or the sites become unavailable. Accessibility remains poor even among those Internet references that are most important.
    Scientometrics 12/2014;
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    ABSTRACT: This stated preference study approached the issue on sub-categorization of the information science–library science (IS–LS) journals listed in the Journal Citation Report (JCR) 2011. To investigate this, 243 active authors/editors publishing in this field were requested to indicate their preferred category to 83 journal titles listed in JCR 2011 from four options: information science (IS), library science (LS), information systems (ISys) and do not know/undecided. Based on the popularity count, respondents assigned 39 titles to LS, 23 titles to IS and 21 titles to ISys. Twenty-five titles received high “do-not-know” counts—these are titles in non-English languages, information management and publishing sub-fields. Only one title in LS was grouped in the highest quartile by impact factor, compared to 8 titles in IS and 11 in ISys. This indicates that LS journals are hardly represented among the top 25 % of the impact factor distribution of JCR’s ranked IS–LS journals. Respondents show concern about the “fit” of information systems journals in the IS–LS category.
    Scientometrics 12/2014;
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    ABSTRACT: Research fronts represent areas of cutting-edge study in specific fields. They not only provide insights into current focuses and future trends, but also serve as important indicators for government policymaking with regard to technology. This study employed both bibliographic coupling and co-citation as methods to analyze the evolution of research fronts in the OLED field, and compared the outcomes in order to identify the differences between, and assess the effectiveness of, the two methods in detecting such research fronts. This study indicated that both analytic methods can be employed to track the evolution of research fronts. Compared with co-citation, bibliographic coupling identifies a higher number of research fronts, and detects the emergence of the research fronts earlier, thus showing better performance than co-citation in detecting research fronts.
    Scientometrics 12/2014;
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    ABSTRACT: The majority of early exploratory webometrics studies have typically used simple network methods or multi-dimensional scaling to identify hyperlink or text-based relationships between collections of related academic websites. This paper uses unsupervised machine learning techniques to identify groups of computer science departments with similar interests through co-word occurrences in the homepages of the departmental research groups. The clustering results reflect inter-department research similarity reasonably well, at least as reflected online. This clustering approach may be useful for policy makers in identifying future collaborators with similar research interests or for monitoring research fields.
    Scientometrics 12/2014;
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    ABSTRACT: The five BRICS countries (Brazil, Russia, India, China and South Africa) are among the most important developing countries. They are joined in an association to foster mutual development. In their meetings officials have made statements on the importance of scientific collaboration. The present article analyses scientific collaborations between the five countries using co-authorships of scientific products. Gross counts, Salton’s indexes and Jaccard coefficients, as well as probabilistic affinity indexes (PAI) are calculated to highlight the different dimensions of inter-BRIC collaborations, as well as their evolution. Collaboration with external actors, and in different scientific sub-areas, is also measured. Bilateral collaborations are heterogeneous. PAIs, which are size independent, show that the trends of inter-BRICS collaborations are stable with time. Heterogeneity across different scientific areas is also present. At the end of the article results are discussed, and policy suggestions are offered.
    Scientometrics 12/2014;
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    ABSTRACT: Most studies investigating individual achievement in criminology and criminal justice equate total publications with scholarly productivity. The current study sought to broaden the definition of scholarly productivity by incorporating empirical indices of the quantity and quality of scholarly productivity and applying these indices to both total and first author publications. Analyses performed using publication and citation data from the top 100 criminology and criminal justice scholars over the past 5 years revealed that the total number of publications was no substitute for an integrated (quantity and quality) assessment. Results further indicated that averaging across the total publication and first author integrated models seemed to provide the fairest and most balanced assessment of scholarly productivity. It was also noted that compared to non-theoreticians, theoreticians were more likely to publish first author articles and fared significantly better when evaluated against the first author integrated model than when evaluated against the total publications integrated model. Use of these models to assess scholarly productivity in criminology, criminal justice, and other fields may be warranted.
    Scientometrics 12/2014;
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    ABSTRACT: A positive influence of international collaboration on the impact of research has been extensively described. This paper delves further into this issue and studies to what extent the type of collaborating country—high, medium or low R&D intensive country—and which country is the leader in the research may influence the impact of the final scientific output. Among 9,961 papers co-authored by scientists from Spain and from another country (bilateral collaboration) during 2008–2009, papers with high R&D intensive countries predominated (60 %) and received the highest number of citations. This holds true in eight out of nine fields, being Social Sciences the one which benefited the most from partnerships with high R&D intensive countries. Mathematics emerges as a special case where other factors such as the partner’s specialisation in the field may have a greater influence on research impact than the level of investment in R&D of the collaborating country. No significant influence of the type of country leading the research on the impact of the final papers is observed in most fields. Research policy implications are finally discussed.
    Scientometrics 12/2014;
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    ABSTRACT: Many areas of academic and industrial work make use of the notion of a ‘technology’. This paper attempts to reduce the ambiguity around the definition of what constitutes a ‘technology’ by extension of a method described previously that finds highly relevant patent sets for specified technological fields. The method relies on a less ambiguous definition that includes both a functional component and a component consisting of the underlying knowledge in a technological field to form a two-component definition. These two components form a useful definition of a technology that allows for objective, repeatable and thus comparable analysis of specific technologies. 28 technological domains are investigated: the extension of an earlier technique is shown to be capable of finding highly relevant and complete patent sets for each of the technologies. Overall, about 500,000 patents from 1976 to 2012 are classified into these 28 domains. The patents in each of these sets are not only highly relevant to the domain of interest but there are relatively low numbers of patents classified into any two of these domains (total patents classified in two domains are 2.9 % of the total patents and the great majority of patent class pairs have zero overlap with a few of the 378 patent class pairs containing the bulk of the doubly listed patents). On the other hand, the patents within a given domain cite patents in other domains about 90 % of the time. These results suggest that technology can be usefully decomposed to distinct units but that the inventions in these relatively tightly contained units depend upon widely spread additional knowledge.
    Scientometrics 12/2014;
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    ABSTRACT: We give mathematical explanations of some empirical results obtained by Campanario in Scientometrics 99(2):289–298, (2014).
    Scientometrics 12/2014; 101(3).
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    ABSTRACT: Download indicators are of major potential interest because the great quantity of readily available download data means that any statistical inferences drawn from them will be of robust significance. We study the relationship between citation and downloads at the journal and paper levels, and the influence of language on that relationship. The data used were taken from the Scopus (citations) and ScienceDirect (downloads) databases. The results showed that downloads have limited utility as predictors of citation since it is in the early years when any correlations have the least significance. The relationship between downloads and citation also differs from one discipline to another. The relationship at the paper level is considerably weaker than at the journal level. This may be indicative of the number of downloads depending largely on the diffusion of the journal. In francophone regions, downloading from journals is proportionately less than citations to those same journals. There seems to be a part of citations to non-English-language journals which is invisible to Scopus. This makes the number of downloads proportionately greater than that of citations, leading to a lack of correlation between downloads and citations in that class of journal.
    Scientometrics 11/2014; 101(2).
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    ABSTRACT: Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon’s clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors’ influence on these themes. Based on this, some conclusions were got in the end.
    Scientometrics 11/2014; 101(2).