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Martin Schmidt, Benedikt Fecher, Christian Kobsda

Authorship in engineering

Bibliometrics of the 20 highest performing authors in Energy, Engineering, and Materials Science.
13 July 2017

Description

The number of authors per article in the subject area Energy is 3.6 on average with a maximum of 11 authors. The mean number of coauthors is increasing by 0.3 per year in the respective time period (Figure 1). The articles in this analysis (n = 1683) were cited 19.7 times on average with a maximum of 496 citations.

The number of authors per article in the subject area Engineering is 2.8 on average with a maximum of 34 authors (Figure 2). The mean number of coauthors is increasing by 0.3 per year in the respective time period. The articles in this analysis were cited 9.8 times on average and 480 as maximum. With a quantity of n = 3828 articles, Engineering has the second most articles in the respective time period (see Methodology) of all subject areas in Scopus.

The number of authors per article in the subject area Materials Science is 2.6 on average with a maximum of 8 authors. The mean number of coauthors is increasing by 0.1 per year in the respective time period (Figure 3). The articles in this analysis (n = 999) were cited 10.5 times on average with a maximum of 138 citations.

Figure 1: Boxplot of the number of authors per paper in the subject area Energy. The box denotes 25–75% of the values with the median (bold line) in it. The small circles are outliers. Due to a limitation of the y-axis, some outliers are not shown. 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 Engineering. The box denotes 25–75% of the values with the median (bold line) in it. The small circles are outliers. Due to a limitation of the y-axis, some outliers are not shown. 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 1: Boxplot of the number of authors per paper in the subject area Materials Science. The box denotes 25–75% of the values with the median (bold line) in it. The small circles are outliers. Due to a limitation of the y-axis, some outliers are not shown. 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 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 Alexander von Humboldt Institute for Internet and Society.

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

Digital Object Identifier (DOI)

https://doi.org/10.5281/zenodo.823254

Cite as

Schmidt, M., Fecher, B., Kobsda, C. (2017). Bibliometrics of the 20 highest performing authors in Energy, Engineering, and Materials Science. Elephant in the lab. DOI: 10.5281/zenodo.823254

References

Collapse references

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

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