Analyse citation data from Google Scholar
The scholar R package provides functions to extract citation data from Google Scholar. In addition to retrieving basic information about a single scholar, the package also allows you to compare multiple scholars and predict future h-index values.
Development of the scholar package is ongoing with GuangchuangYu acting as maintainer. Please continue to file issues and make pull requests against https://github.com/jkeirstead/scholar going forwards.
# from CRAN install.packages("scholar")
if(!requireNamespace('remotes')) install.packages("remotes") remotes::install_github('jkeirstead/scholar')
Individual scholars are referenced by a unique character string, which can be found by searching for an author and inspecting the resulting scholar homepage. For example, the profile of physicist Richard Feynman is located at http://scholar.google.com/citations?user=B7vSqZsAAAAJ and so his unique id is
Basic information on a scholar can be retrieved as follows:
# Define the id for Richard Feynman id
Additional functions allow the user to query the publications list, e.g.get_num_articles,get_num_distinct_journals,get_oldest_article,get_num_top_journals. Note that Google doesn't explicit categorize publications as journal articles, book chapters, etc, and so journal or article in these function names is just a generic term for a publication.
You can also compare multiple scholars, as shown below. Note that these two particular scholars are rather prolific and these queries will take a very long time to run.# Compare Feynman and Stephen Hawking ids
Predicting future h-index values
Finally users can predict the future h-index of a scholar, based on the method of Acuna et al.. Since the method was originally calibrated on data from neuroscientists, it goes without saying that, if the scholar is from another discipline, then the results should be taken with a large pinch of salt. A more general critique of the original paper is available here. Still, it's a bit of fun.## Predict h-index of original method author, Daniel Acuna id