At some point I'll clean up the repo
all.py analyses 2015 to 2025 data and produces those graphs
gen5.py take citations.csv as 1st input arg and produces the HTML file
each year of ISCA has a file called paper_reviews.html which has embedded javascript which will launch google scholar to get the citations. We'll use this to perform the quarterly updates of citations to understand things like citation velocity etc.
I use some other scripts from archprisms work to create the HTML files for each ISCA