I am thinking about masters programs and wanted to find the programs that align with me the best.
https://csrankings.org is great, but I wanted to create a meta ranking based on all the factors that are important to me. I also wanted to be able to assign custom weights to everything.
Data Source:
- Conference Paper acceptances
- Best Paper acceptances
- Where professors did Bachelors/Masters
Very intentionally, no inclusion of citations
Stats:
- Sum
- Mean
- Median
- Max
- Min
- Variance
- Standard Deviation
You create a meta ranking with the data sources and the stats you want. For example, I can put a large positive weight on mean conference paper acceptances and small negative weight on variance of conference paper acceptances. This might create the outcome of have a well distributed faculty where everyone publishes (with few laggards).
This is the same as in the notebook.
Taken from https://github.com/emeryberger/CSrankings/tree/gh-pages which is the repo behind https://csrankings.org
Run make generated-author-info.csv which should make the csv. Each row contains the score for every author, year, and conference combination. This means that there are multiple rows for each professor.
Taken from https://drafty.cs.brown.edu/csprofessors but they hide the data. So, after reading source code, exploit a thing they left in during development and use https://drafty.cs.brown.edu/data/csv/csprofessors/csprofessors_93318b344889ccef41d46b5f83d63de5
Taken from https://drafty.cs.brown.edu/csopenrankings/placement-rank.html which is just copy and paste (and M-x query-replace <tab> ,). I think I could have done this myself, but why do that when someone else has already done the work.
A collection of best paper awards are listed on https://jeffhuang.com/best_paper_awards/
However, I needed to do some html parsing in order to get the data into a csv format. That is done in another notebook
They were good for inspiration when building mine