csconfs-index

csconfs-index compares CS conferences/areas by publication effort using CSRankings + DBLP-style venue groupings.

This project was inspired by the ICLRPoints work (arXiv), and uses information and data from CSRankings and DBLP, and venues defined in data/area.csv (CSRankings + CORE A*).

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Prerequisites

• Python 3.8+
• Git

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Clone and setup

1. Clone

git clone https://github.com/dynaroars/csconfs-index.git
cd csconfs-index

2. Install dependencies

pip install -r requirements.txt

3. Data

area.csv | Area ↔ conference mapping csrankings_march.csv | CSRankings faculty dblp.xml.gz | DBLP dump

Download DBLP (~1 GB): dblp.org/xml/dblp.xml.gz or FAQ. Put dblp.xml.gz in data/:

mv ~/Downloads/dblp.xml.gz data/
# Windows: move %UserProfile%\Downloads\dblp.xml.gz data\

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Build

python generate_per_year_data.py

Reads DBLP + CSVs, writes per_year_data.json.

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Run

Serve over HTTP

Option A — static server:

python -m http.server 8000

Open http://localhost:8000.

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Project layout

csconfs-index/
├── index.html
├── app.js
├── styles.css
├── per_year_data.json    # generated
├── generate_per_year_data.py
├── requirements.txt
├── data/
│   ├── area.csv
│   ├── csrankings_march.csv
│   ├── csrankings.csv
│   └── dblp.xml.gz       # you download
└── backend/
    ├── iclr_api.py
    └── iclr_point.py

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Changing venues

Edit data/area.csv:

parent_area,area,abbrv,conference
AI,Artificial intelligence,ai,AAAI
...

Then python generate_per_year_data.py, restart server, refresh.

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Data sources

• CSRankings — faculty, venues
• DBLP — publications
• CORE — A* venues in area.csv