A function to assess the ε-index of a researcher's relative citation performance
-
Updated
Sep 20, 2021 - R
#
m-quotient
Here are 3 public repositories matching this topic...
Summarize your Google Scholar bibliometrics in an SVG
svg scientometrics h-index bibliometrics scholar g-index i10-index m-quotient svg-generation r-index e-index i100-index i1000-index a-index h-median hirsch-index o-index w-index
-
Updated
Mar 5, 2024 - Python
R Shiny app for calculating the ε-index
github performance shiny citations ranking shiny-apps h-index bibliometrics bibliometric-analysis m-quotient epsilon-index
-
Updated
Sep 22, 2021 - R
Improve this page
Add a description, image, and links to the m-quotient topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the m-quotient topic, visit your repo's landing page and select "manage topics."