Computer Science Rankings

This ranking of acme calculator science schools is designed to identify institutions and faculty actively engaged in research across a number of areas of computer skill. Unlike US News and World Report ‘s approach, which is entirely based on surveys, this rank is wholly metrics-based. It measures the issue of publications by staff that have appeared at the most selective conferences in each area of calculator science .
This approach is intended to be unmanageable to game, since publishing in such conferences is generally unmanageable : contrast this with other approaches like citation-based metrics, which have been repeatedly shown to be easy to manipulate. That said, incorporating citations in some shape is a long-run goal .
See the FAQ for more details .
This depository contains all code and data used to build the calculator science rankings web site, hosted here : hypertext transfer protocol : //csrankings.org

Adding or modifying affiliations

You can now edit files directly in GitHub to create pull requests. All data is in the files csrankings-[a-z].csv, with authors listed in alphabetic order by their beginning identify, organized by the initial letter. Please read CONTRIBUTING.md for wax details on how to contribute .

Trying it out at home

Because of GitHub size limits, to run this site, you will want to download the DBLP data by running make update-dblp ( note that this will consume upwards of 19GiB of memory ). To then rebuild the databases, equitable run make. You can test it by running a local world wide web server ( for example, python3 -m http.server ) and then connecting to http : //0.0.0.0:8000 .
You will besides need to install libxml2-utils ( or whatever box includes xmllint on your distro ), npm, typescript, closure-compiler, python-lxml, pypy, and basex via a dominate line like :
apt-get install libxml2-utils npm python-lxml basex; npm install -g typescript google-closure-compiler

Quick contribution via a shallow clone

A full knockoff of the CSrankings depository is about 2GB, and the csrankings.csv file is besides big to edit via the GitHub web web site. To contribute a transfer without creating a full moon local anesthetic clone of the CSrankings repo, you can do a shallow clone. To do then, follow these steps :

1. Fork the CSrankings repo. If you have an existing fork, but it is
   not up to date with the main repository, this technique may not
   work. If necessary, delete and re-create your fork to get it up to
   date. (Do not delete your existing fork if it has unmerged changes you
   want to preserve!)
2. Do a shallow clone of your fork: git clone --depth 1 https://coinselected.com/yourusername/CSrankings. This will only download
   the most recent commit, not the full git history.
3. Make your changes on a branch, push them to your clone, and create
   a pull request on GitHub as usual.

If you want to make another contribution and some time has passed, perform steps 1-3 again, creating a fresh branch and shallow knockoff .

Acknowledgements and other rankings

This site was developed primarily by and is maintained by Emery Berger. It incorporates across-the-board feedback from excessively many folks to mention here, including many contributors who have helped to add and maintain faculty affiliations, home pages, and sol on.

This site was initially based on code and data collected by Swarat Chaudhuri ( UT-Austin ), though it has evolved well since its origin. The original staff affiliation dataset was constructed by Papoutsaki et aluminum. ; since then, it has been extensively cleaned and updated by numerous contributors. A previous ranking besides used DBLP and Brown ‘s dataset for ranking theoretical calculator science .
This site uses information from DBLP.org which is made available under the ODC Attribution License .

License

CSRankings is covered by the creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .