Ruediger Mutz
ETH Zurich
17 Papers
860 Citations
Ruediger Mutz is an academic researcher from ETH Zurich. The author has contributed to research in topics: Bibliometrics & Citation analysis. The author has an hindex of 11, co-authored 17 publications. Previous affiliations of Ruediger Mutz include University of Zurich.
Chat about Author
Papers
Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
Lutz Bornmann,Ruediger Mutz +1 more
- 01 Nov 2015
TL;DR: In this article, the authors examined the growth of science and identified three essential growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% to the period between the two world wars, and 8 to 9% to 2010.
1.2K
•Posted Content
Growth rates of modern science: A bibliometric analysis
Lutz Bornmann,Ruediger Mutz +1 more
- 19 Feb 2014
TL;DR: This study looked at the rate at which science has grown since the mid‐1600s and identified three essential growth phases: from less than 1% up to the middle of the 18th century, to 2 to 3%up to the period between the two world wars, and 8 to 9% to 2010.
728
•Posted Content
Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
Lutz Bornmann,Ruediger Mutz +1 more
TL;DR: In this paper, the authors re-examine the question of the growth of science and analyse it across all disciplines and also separately for the natural sciences and for the medical and health sciences.
617
Gender differences in grant peer review: A meta-analysis
TL;DR: In this paper, the authors report the findings of a meta-analysis of 21 studies providing, to the contrary, evidence of robust gender differences in grant award procedures, showing that among grant applicants men have statistically significant greater odds of receiving grants than women by about 7%.
332
A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants
TL;DR: The results of a three-level cross-classified mixed-effects meta-analysis show a high correlation between the h index and its variants: Depending on the model, the mean correlation coefficient varies between .8 and .9, which means that there is redundancy between most of the hIndex variants and the h Index.
331