Metadata-Version: 2.1
Name: coauthor-finder
Version: 0.1
Summary: A simple tool to list all your coauthors and the year of lastest collaboration.
Home-page: https://github.com/ChenLiu-1996/CoauthorFinder
Author: Chen Liu
Author-email: chen.liu.cl2482@yale.edu
License: CC BY-NC-SA
Keywords: coauthor,google scholar
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown

<h1 align="center">
&#127759; <code>CoauthorFinder</code>:

List All Your Coauthors for Your Next Grant Application
</h1>

<div align="center">

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<br>
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[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
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</div>

&#127942; A simple tool to list all your coauthors and the year of lastest collaboration.

&#11088; There is **no need to fork** this repo unless you want to make custom changes.

&#128640; It only takes **one line to install** and **4 lines to run**!

&#128073; This is just a tool I wrote for my advisor when she is reporting coauthors for her grant. I will not be responding to custom requests.

<br>

I am [Chen Liu](https://chenliu-1996.github.io/), a Computer Science PhD Candidate at Yale University.

Research areas: Machine Learning (Manifold Learning, Dynamics Modeling, Multimodal, Self-Supervised Learning).

## Purpose
This is a simple Python tool to list all your coauthors and year of lastest collaboration, in a csv format.

It is easy to install (available on [PyPI](https://pypi.org/project/coauthor-finder/)) and easy to use.

## Minimalistic User Guide
This is for users familiar with python. I am not in the mood of providing a comprehensive guide.
### &#128640; 1 line to install.
```
pip install coauthor-finder
```
### &#128640; 4 lines to run.
```python3
from coauthor_finder import generate_coauthor_list

if __name__ == '__main__':
    scholar_id = '3rDjnykAAAAJ'  # This is my Google Scholar ID. Replace this with your ID.
    generate_coauthor_list(scholar_id)
```


## Dependencies
Dependencies are already taken care of when you install via pip.

## Acknowledgements
This script was written under the assistance of Claude, but of course after intense debugging.
