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Martin Schmidt, Benedikt Fecher, Christian Kobsda

The Arts and the authorship

Bibliometrics for the subject areas Arts and Humanities as well as Social Sciences for the 20 highest performing authors.
7 August 2017

Description

The number of authors per article in the subject area Arts and Humanities is 2.1 on average with a maximum of 8 authors. The mean number of coauthors is decreasing by 0.01 per year in the respective time period (Figure 1). The articles in this analysis (n = 749) were cited 6.6 times on average with a maximum of 50 citations.

The number of authors per article in the subject area Social Sciences is 2.7 on average with a maximum of 14 authors (Figure 2). The mean number of coauthors is increasing by 0.1 per year in the respective time period. The articles in this analysis (n = 1050) were cited 9.7 times on average and 485 as maximum.

Figure 1: Boxplot of the number of authors per paper in the subject area Arts and Humanities. The box denotes 25–75% of the values with the median (bold line) in it. The small circles are outliers. The yellow line shows a linear model of the mean number of authors per article with a confidence interval of 0.95 shown in light grey. Data source: Scopus. CC BY 4.0 Schmidt, Fecher, Kobsda.

Figure 2: Boxplot of the number of authors per paper in the subject area Social Sciences. The box denotes 25–75% of the values with the median (bold line) in it. The small circles are outliers. The yellow line shows a linear model of the mean number of authors per article with a confidence interval of 0.95 shown in light grey. Data source: Scopus. CC BY 4.0 Schmidt, Fecher, Kobsda.

Methodology

The results of the Advanced search in Scopus were restricted by an algorithm with

  • a time period of publishing (2010 to 2016),
  • the document types (articles or reviews),
  • and a quantitative limitation regarding the publication output (articles by the 20 highest performing authors with the most Scopus listed articles in every subject area).

For details and code see Schmidt et al. 2017.

Author info

Martin Schmidt is a doctoral researcher at the Institute of Landscape Systems Analysis within Leibniz Centre for Agricultural Landscape Research and associate researcher at Alexander von Humboldt Institute for Internet and Society.

Benedikt Fecher is the programme director of the research programme Knowledge Dimension and heads the Open Science research group at the Alexander von Humboldt Institute for Internet and Society.

Christian Kobsda works as the political consultant at the Leibniz Association and is an associate researcher at the Alexander von Humboldt Institute for Internet and Society.

Digital Object Identifier (DOI)

https://doi.org/10.5281/zenodo.839518

Cite as

Schmidt, M., Fecher, B., Kobsda, C. (2017). Bibliometrics for the Subject Areas Arts and Humanities as well as Social Sciences for the 20 Highest Performing Authors. Elephant in the lab. DOI: 10.5281/zenodo.839518

References

Collapse references

Schmidt, M., Fecher, B., Kobsda, C. (2017). Methodology for the analysis of authors using meta data from Scopus. Elephant in the Lab. https://doi.org/10.5281/zenodo.805718

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