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1.
Scientometrics ; 128(1): 609-622, 2023.
Article in English | MEDLINE | ID: mdl-36246787

ABSTRACT

This article aims to add to the body of indicators used to study collaboration in science. We propose a new indicator to measure balance in collaboration (BIC) which is based on the Gini evenness index for a weighted Lorenz curve. The new indicator of balance builds upon and extends the use of, our previously introduced indicator of relative intensity of collaboration (RIC). We present examples based on the collaboration network between the twenty largest countries contributing to science during 2000-2020.

2.
PLoS One ; 16(4): e0249879, 2021.
Article in English | MEDLINE | ID: mdl-33831115

ABSTRACT

This study compares publication pattern dynamics in the social sciences and humanities in five European countries. Three are Central and Eastern European countries that share a similar cultural and political heritage (the Czech Republic, Slovakia, and Poland). The other two are Flanders (Belgium) and Norway, representing Western Europe and the Nordics, respectively. We analysed 449,409 publications from 2013-2016 and found that, despite persisting differences between the two groups of countries across all disciplines, publication patterns in the Central and Eastern European countries are becoming more similar to those in their Western and Nordic counterparts. Articles from the Central and Eastern European countries are increasingly published in journals indexed in Web of Science and also in journals with the highest citation impacts. There are, however, clear differences between social science and humanities disciplines, which need to be considered in research evaluation and science policy.


Subject(s)
Cross-Cultural Comparison , Humanities/statistics & numerical data , Periodicals as Topic/statistics & numerical data , Social Sciences/statistics & numerical data , Europe , Humans , Publishing/statistics & numerical data
3.
J Assoc Inf Sci Technol ; 71(11): 1371-1385, 2020 Nov.
Article in English | MEDLINE | ID: mdl-33288998

ABSTRACT

We investigate the state of multilingualism across the social sciences and humanities (SSH) using a comprehensive data set of research outputs from seven European countries (Czech Republic, Denmark, Finland, Flanders [Belgium], Norway, Poland, and Slovenia). Although English tends to be the dominant language of science, SSH researchers often produce culturally and societally relevant work in their local languages. We collected and analyzed a set of 164,218 peer-reviewed journal articles (produced by 51,063 researchers from 2013 to 2015) and found that multilingualism is prevalent despite geographical location and field. Among the researchers who published at least three journal articles during this time period, over one-third from the various countries had written their work in at least two languages. The highest share of researchers who published in only one language were from Flanders (80.9%), whereas the lowest shares were from Slovenia (57.2%) and Poland (59.3%). Our findings show that multilingual publishing is an ongoing practice in many SSH research fields regardless of geographical location, political situation, and/or historical heritage. Here we argue that research is international, but multilingual publishing keeps locally relevant research alive with the added potential for creating impact.

4.
PLoS One ; 12(3): e0174205, 2017.
Article in English | MEDLINE | ID: mdl-28350849

ABSTRACT

The scientific foundation for the criticism on the use of the Journal Impact Factor (JIF) in evaluations of individual researchers and their publications was laid between 1989 and 1997 in a series of articles by Per O. Seglen. His basic work has since influenced initiatives such as the San Francisco Declaration on Research Assessment (DORA), the Leiden Manifesto for research metrics, and The Metric Tide review on the role of metrics in research assessment and management. Seglen studied the publications of only 16 senior biomedical scientists. We investigate whether Seglen's main findings still hold when using the same methods for a much larger group of Norwegian biomedical scientists with more than 18,000 publications. Our results support and add new insights to Seglen's basic work.


Subject(s)
Databases, Bibliographic/statistics & numerical data , Journal Impact Factor , Publishing/statistics & numerical data , Research/statistics & numerical data , Science/statistics & numerical data , Bibliometrics , Biomedical Research/methods , Biomedical Research/standards , Biomedical Research/statistics & numerical data , Databases, Bibliographic/standards , Humans , Publishing/standards , Reproducibility of Results , Research/standards , Research Personnel/standards , Research Personnel/statistics & numerical data , Science/methods , Science/standards
5.
Scientometrics ; 107: 357-368, 2016.
Article in English | MEDLINE | ID: mdl-27122643

ABSTRACT

This article investigates the developments during the last decades in the use of languages, publication types and publication channels in the social sciences and humanities (SSH). The purpose is to develop an understanding of the processes of internationalization and to apply this understanding in a critical examination of two often used general criteria in research evaluations in the SSH. One of them is that the coverage of a publication in Scopus or Web of Science is seen in itself as an expression of research quality and of internationalization. The other is that a specific international language, English, and a specific type of publication, journal articles, are perceived as supreme in a general hierarchy of languages and publication types. Simple distinctions based on these criteria are contrary to the heterogeneous publication patterns needed in the SSH to organize their research adequately, present their results properly, reach their audiences efficiently, and thereby fulfil their missions. Research quality, internationalization, and societal relevance can be promoted in research assessment in the SSH without categorical hierarchies of publications. I will demonstrate this by using data from scholarly publishing in the SSH that go beyond the coverage in the commercial data sources in order to give a more comprehensive representation of scholarly publishing in the SSH.

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