https://github.com/faezeh-gholamrezaie/visual-google-scholar-search

A Python script that searches Google Scholar for specific keywords and visually presents the results in various chart formats, enabling researchers to analyze trends and insights in academic literature.
https://github.com/faezeh-gholamrezaie/visual-google-scholar-search

academic academic-research academic-trends ai ai-research bibliometrics data-analysis data-visualization google-scholar publication-analysis python research-trends scholarly scholarly-data word-cloud

Last synced: about 1 month ago
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A Python script that searches Google Scholar for specific keywords and visually presents the results in various chart formats, enabling researchers to analyze trends and insights in academic literature.

• Host: GitHub
• URL: https://github.com/faezeh-gholamrezaie/visual-google-scholar-search
• Owner: faezeh-gholamrezaie
• Created: 2024-10-29T16:54:47.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-29T18:19:06.000Z (3 months ago)
• Last Synced: 2024-11-07T14:30:08.987Z (3 months ago)
• Topics: academic, academic-research, academic-trends, ai, ai-research, bibliometrics, data-analysis, data-visualization, google-scholar, publication-analysis, python, research-trends, scholarly, scholarly-data, word-cloud
• Language: Jupyter Notebook
• Homepage:
• Size: 2.33 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Visual-Google-Scholar-Search

Visual Google Scholar Search is a Python script that allows researchers to search Google Scholar for specific keywords and visualize the results in various formats. This tool provides insights into academic literature and allows for an in-depth analysis of trends and citations.



    



# Visualizations

The following visualizations are generated by the script using the keyword **AI**, with results limited to a maximum of 500 entries(max_results=500).

## Yearly Analysis



    



## Citations Analysis



    



## Citations Over the Years



    



## Word Cloud



    



## Top 20 Words



    



# Usage

To run the script, you can specify the keyword you want to search for and set a limit on the number of results with max_results. The script retrieves relevant data, including:

- Title: publication['bib'].get('title', '')

- Authors: publication['bib'].get('author', '')

- Abstract: publication['bib'].get('abstract', '')

- Year: publication['bib'].get('pub_year', '')

- Venue: publication['bib'].get('venue', '')

- GSRank: publication.get('gsrank', '')

- Pub URL: publication.get('pub_url', '')

- Citations: publication.get('num_citations', 0)