dblp-analysis-tool is a web application for analyzing the dblp computer science bibliography, built as part of a Bachelor's thesis at Palacký University Olomouc, supervised by RNDr. Martin Trnečka, Ph.D. The project enables researchers and institutions to visualize, explore, and analyze bibliographic metadata from dblp with a user-friendly interface.

The dblp computer science bibliography is a leading public database and web service providing metadata of publications in various fields of computer science. It includes a vast collection of journal articles, conference papers, and author profiles. As of 2025, the database contains more than 8 million publications by over 3 million authors worldwide.

dblp provides valuable data for many researchers and institutions. However, effectively understanding, comparing, tracking trends, and conducting analysis requires a clear and concise presentation of this data and its underlying relationships.

dblp-analysis-tool addresses this need by providing a user-friendly interface that allows:

• Visualize author, journal, and conference statistics using interactive charts
• Browse and filter publication metadata
• Group authors and analyze their collective statistics
• Explore co-authorship relationships through interactive, filterable graphs
• Export analyzed data for further research

Here are some highlights from the application:

• Next.js
• Tailwind CSS
• D3.js
• Cheerio
• MongoDB

You can run the application with or without Docker.

Prerequisites: Latest Docker and Docker Compose

1. Navigate to the src/ directory containing the Docker Compose files:
   • docker-compose-dev.yml (local testing, port 3000)
   • docker-compose-prod.yml (production deployment, port 80)
2. Build containers:

   docker compose -f ./docker-compose-dev.yml build

   Or (for a clean build):

   docker compose -f ./docker-compose-dev.yml build --no-cache

3. Start containers:

   docker compose -f ./docker-compose-dev.yml up

4. The running address will be displayed in your terminal.

Both Compose files will create and launch MongoDB and the Next.js app. All needed environment variables and ports are predefined.

Prerequisites: Node.js, npm, and MongoDB (e.g. community version)

1. Ensure MongoDB is running.
2. In src/, create a .env file:

   MONGODB_URI=mongodb://127.0.0.1:27017/dblp-tool
   

   (No need to pre-create the database.)
3. Navigate to src/ and install dependencies:

   npm install

4. Navigate to src/ and start the application:
   • Development:

     npm run dev

   • Production (build and start):

     npm run build
     npm run start

5. The running address will be displayed in your terminal.