# BIP! DB: A Dataset of Impact Measures for Scientific Publications

arXiv: https://arxiv.org/abs/2101.12001 · HTML: https://mlsanity.com/paper/2101.12001/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jan 2021.

## Built on by (most cited first, 2 of 2)

- [SciNoBo : A Hierarchical Multi-Label Classifier of Scientific Publications](https://mlsanity.com/paper/2204.00880/) (2022)
- [Scientific Knowledge Discovery in the Age of Large Language Models](https://mlsanity.com/paper/2607.26670/) (2026)

## Abstract (arXiv)

The growth rate of the number of scientific publications is constantly increasing, creating important challenges in the identification of valuable research and in various scholarly data management applications, in general. In this context, measures which can effectively quantify the scientific impact could be invaluable. In this work, we present BIP! DB, an open dataset that contains a variety of impact measures calculated for a large collection of more than 100 million scientific publications from various disciplines.