R script for analyzing Google Scholar profiles
The R script is using the scholar package as published at https://cran.r-project.org/web/packages/scholar/.
The most important variable is the Google Scholar profile ID.
In my case, this ID is fyMS1UQAAAAJ, obtained from the URL https://scholar.google.com.mx/citations?hl=de&user=fyMS1UQAAAAJ&view_op=list_works&sortby=pubdate
For analyzing my bibliographic impact and the types of papers which are most cited by the readers, I first tried to install Harzig's Publish or Perish (https://harzing.com/resources/publish-or-perish/) on Linux; using Wine, PlayOnLinux etc. To make a long story short: I gave up and looked for a possibility to retrieve data from Google Scholar and analyzing them with the statistical and graphics language R (https://www.r-project.org).
This workflow has the additional advantage that custom function, such as the comparison of various researchers of an institute, or additional statistical functions, can be easily implemented.
The script reports the general information, such as name, affiliation, H-factor and i10.
Of course, one wants to know, which types of papers are most cited. The script calculates cites/year and produces a .csv file with the numeric analysis and bibliographic information:
| cites_year | pubs_clean...year... | pubs_clean...cites... | pubs_clean...title... |
|---|---|---|---|
| 16.3076923076923 | 2009 | 212 | Production of Pyomelanin, a Second Type of Melanin,.. |
| 17.5454545454545 | 2011 | 193 | Comparative and functional genomics provide insights .. |
| 11.6923076923077 | 2009 | 152 | A novel immune evasion strategy of Candida albicans .. |
This files can be further evaluated, e.g. in LibreOffice or MS EXCEL.
Well, you also can copy the graph from Google Scholar. But the R graphs may be customized.
The network analysis reports the relationships between co-publishing authors:
