# Comment on "Quantifying Long-term Scientific Impact"

arXiv: https://arxiv.org/abs/1405.1574 · HTML: https://mlsanity.com/paper/1405.1574/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 May 2014.

## Built on by (most cited first, 3 of 3)

- [China and the U.S. produce more impactful AI research when collaborating together](https://mlsanity.com/paper/2304.11123/) (2023)
- [Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model](https://mlsanity.com/paper/2403.00032/) (2024)
- [Learning the mechanisms of network growth](https://mlsanity.com/paper/2404.00793/) (2024)

## Abstract (arXiv)

The paper comments on "Quantifying long-term scientific impact". It indicates that there is a mistake of [D. S. Wang , C. Song, A. L. Barabasi, Quantifying long-term scientific impact, Science 342, 127 (2013), arXiv:1306.3293].