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This ranking of top computer science schools is designed to identify institutions and faculty actively engaged in research across a number of areas of computer science. Unlike US News and World Report's approach, which isexclusively based on surveys, this ranking is entirely metrics-based. It measures the number of publications by faculty that have appeared at the most selective conferences in each area of computer science.

This approach is intended to be difficult to game, since publishing in such conferences is generally difficult: contrast this with other approaches like citation-based metrics, which have been repeatedly shown to beeasy tomanipulate. That said, incorporating citations in some form is a long-term goal.

See theFAQ for more details.

This repository contains all code and data used to build the computer science rankings website, hosted here:https://csrankings.org

NOTE: Updates are now processed on a quarterly basis. You may submit pull requests at any time, but they may not be processed until the next quarter (after three months have elapsed).

You can now edit files directly in GitHub to create pull requests. All data isin the filescsrankings-[a-z].csv, with authors listed inalphabetical order by their first name, organized by the initial letter. Please readCONTRIBUTING.md for full details onhow to contribute.

Because of GitHub size limits, to run this site, you will want to download the DBLPdata by runningmake update-dblp (note that this will consumeupwards of 19GiB of memory). To then rebuild the databases, just runmake. You can test it by running a local web server (e.g.,python3 -m http.server)and then connecting tohttp://0.0.0.0:8000.

You will also need to install libxml2-utils (or whatever packageincludes xmllint on your distro), npm, typescript, closure-compiler, python-lxml,pypy,and basex via a command line like:

apt-get install libxml2-utils npm python-lxml basex; npm install -g typescript google-closure-compiler

A full clone of the CSrankings repository is almost 2GB, and thecsrankings.csv file is too large to edit via the GitHub web site. Tocontribute a change without creating a full local clone of theCSrankings repo, you can do a shallow clone. To do so, follow thesesteps:

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

This site was developed primarily by and is maintained byEmeryBerger. It incorporates extensive feedbackfrom too many folks to mention here, including many contributors whohave helped to add and maintain faculty affiliations, home pages, andso on.

This site was initially based on code anddata collected bySwaratChaudhuri (UT-Austin), thoughit has evolved considerably since its inception. Theoriginal faculty affiliation dataset was constructed byPapoutsaki etal.; sincethen, it has been extensively cleaned and updated by numerouscontributors. A previous rankingalso used DBLP and Brown's dataset forranking theoretical computerscience.

This site uses information fromDBLP.org which is madeavailable under the ODC Attribution License.

CSRankings is covered by theCreative CommonsAttribution-NonCommercial-NoDerivatives 4.0 InternationalLicense.