CS Picks

CS Picks is a JavaScript-based web application for exploring Computer Science professors and schools. It uses data from CSrankings to provide an interface for searching faculty publications and analyzing school strengths.

🚀 Features

1. Professor Search

• Search by Name: Instantly find professors by name.
• Publication Stats: View a breakdown of publication counts by research area, sorted by volume.
• Direct Links: Quick access to the professor's:
  • Homepage
  • Google Scholar Profile
  • DBLP Profile

2. School Search

• Search by Name: Find universities and research institutions.
• Area Analysis: View the school's top research areas based on publication count.
• Faculty Lists: See which faculty members are publishing in each area.

🛠️ Technologies Used

• Frontend: Vanilla JavaScript (ES6+), HTML5, CSS3.
• Build Tool: Vite (for fast development and bundling).
• CSV Parsing: PapaParse.
• HTML Encoding: he (for DBLP URL generation).

📦 Installation & Setup

1. Clone the Repository

   git clone <repository-url>
   cd cspicks

2. Install Dependencies

   npm install

3. Run Development Server

   npm run dev

   The application will be available at http://localhost:5173.

📂 Project Structure

cspicks/
├── public/
│   ├── data/
│   │   ├── csrankings.csv            # Core rankings data
│   │   ├── author-info.csv           # Publication counts per author/area
│   │   └── institutions.csv          # Institution metadata (region, country)
│   └── favicon.png                   # Site favicon
├── src/
│   ├── data.js                       # Data loading and processing logic
│   ├── main.js                       # Main application logic
│   └── style.css                     # CSS styles
├── index.html                        # Main HTML entry point
├── package.json                      # dependencies and scripts
└── README.md                         # documentation

📊 Data Sources

The application uses public data from the CSrankings project:

• csrankings.csv: Contains author names, affiliations, homepages, and Google Scholar IDs.
• author-info.csv: Contains publication counts for each author in specific research areas (e.g., 'ai', 'systems', 'theory').
• institutions.csv: Contains mapping of institutions to regions and countries.

📝 License

This project is based on data from CSrankings, which is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.