h-index and was compelled to find out my own h-index via Scopus. Numbers don't matter, but discussion with my colleagues turned to the issue of author position. We quickly decided that there are three important "positions" in the list of authors for a publication: first, last and everywhere else (let's call it the middle). Three-dimensional plots are never easy to deal with, but the concept of the triangle plot has always stuck in the back of my mind. Armed with this fine plotting mechanism, and the R language, I decided to attack the output from Scopus.I was recently introduced to the concept of the
First things first... here is code to parse the .csv output provided by Scopus and calculate the h-index with a simple plot.
Now to deal with the authorship position we first parse the author list, determine where the author of interest is located and then convert the three categories into percentages. I have neglected to include the code that explicitly constructs the matrix A. Just let A = rbind(A, triax.data) to build it up for each author.
So the question is, where do you sit?