citation-map 1.3

A simple tool to generate your Google Scholar citation world map.

Google Scholar Citation World Map

Chen Liu, CS PhD Candidate (Machine Learning, MedicalVision, AI4Science) at Yale University.

Purpose

This is a simple Python tool to generate a HTML citation world map from your Google Scholar ID.

It is easy to install (pip install citation-map, available on PyPI) and easy to use (see the Usage section).

Warning

1. This script is a bit slow. On my personal computer, it takes half a minute to process each citation. If you have thousands of citations, it may or may not be a good idea to use this script.
2. I tried to use multiprocessing, but unfortunately the excessive visits get me blocked by Google Scholar.

Expected Outcome

You will be given an HTML file as the output of the script. If you open it on a browser, you will see your own version of the following citation world map.

Usage

1. Install the package.

   pip install citation-map
   

2. Find your Google Scholar ID.

   • Open your Google Scholar profile. The URL should take the form of https://scholar.google.com/citations?user=GOOGLE_SCHOLAR_ID. In this case, your Google Scholar ID is just the string GOOGLE_SCHOLAR_ID.
   • Please kindly ignore configuration strings such as &hl=en (host language is English) or &sortby=pubdate (sort the works by date of publication).

3. In an empty Python script (for example, the demo script), run the following.

   from citation_map import generate_citation_map
   
   # This is my Google Scholar ID. Replace this with your ID.
   scholar_id = "3rDjnykAAAAJ"
   generate_citation_map(scholar_id)
   

   You can take a look at additional input arguments of the function generate_citation_map (listed below) in case you need those functionalities.

   Parameters
   ----
   scholar_id: str
       Your Google Scholar ID.
   use_proxy: bool
       If true, we will use a scholarly proxy.
       It is necessary for some environments to avoid blocks, but it usually makes things slower.
   pin_colorful: bool
       If true, the location pins will have a variety of colors.
       Otherwise, it will only have one color.
   output_path: str
       The path to the output HTML file.
   

Dependencies

scholarly
geopy
folium
tqdm

Acknowledgements

This script was written under the assistance of ChatGPT-4o, but of course after intense debugging.