Recommender for recommendation letter writers 👍

What is RecRec?

RecRec is a practical tool for finding academic recommendation letter writers. Whether you are preparing for your tenure package, job application, or green card petition, RecRec helps you quickly identify the best letter writers. RecRec highlights connections between you and potential recommenders and lets you filter by citations, awards, and other criteria. Save time and get the most impactful recommendations with RecRec!

Demo Video

How Does RecRec Work?

RecRec uses Semantic Scholar's citation database to analyze and identify all researchers who have cited your papers. In addition, it uses the Academic Award database to highlight researchers with awards, such as ACM Fellow and IEEE Fellow. Finally, RecRec provides an easy-to-use interface to help you quickly sort, filter, and select potential recommenders.

Get Started

To use RecRec, visit: https://xiaohk.github.io/recrec/.

To find potential recommendation letter writers, follow these three steps:

Developing RecRec

Clone or download this repository:

git clone [email protected]:xiaohk/recrec.git

Install the dependencies:

npm install

Then run RecRec:

npm run dev

Navigate to localhost:3000. You should see RecRec running in your browser :)

Credits

RecRec is created by Jay Wang.

Citation

If you find RecRec useful, please consider citing it.

@misc{wangRecRecRecommenderRecommender2024,
  title = {{{RecRec}}: {{Recommender}} for {{Recommender Letter Writers}}},
  shorttitle = {{{RecRec}}},
  author = {Wang, Zijie J.},
  year = {2024},
  doi = {10.5281/ZENODO.12697177},
  url = {https://zenodo.org/doi/10.5281/zenodo.12697177},
  urldate = {2024-07-09},
  copyright = {MIT License}
}

License

The software is available under the MIT License.

Contribution

Feature requests, bug reports, and fixes are all welcome! Start by opening an issue.

Contact

If you have any questions, feel free to open an issue or contact Jay Wang.