# Citation Count Analysis for Papers with Preprints

arXiv: https://arxiv.org/abs/1805.05238 · HTML: https://mlsanity.com/paper/1805.05238/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 May 2018.

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

- [How many preprints have actually been printed and why: a case study of computer science preprints on arXiv](https://mlsanity.com/paper/2308.01899/) (2023)
- [Estimating the Causal Effect of Early ArXiving on Paper Acceptance](https://mlsanity.com/paper/2306.13891/) (2023)
- [GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement](https://mlsanity.com/paper/2609.26361/) (2026)

## Abstract (arXiv)

We explore the degree to which papers prepublished on arXiv garner more citations, in an attempt to paint a sharper picture of fairness issues related to prepublishing. A paper's citation count is estimated using a negative-binomial generalized linear model (GLM) while observing a binary variable which indicates whether the paper has been prepublished. We control for author influence (via the authors' h-index at the time of paper writing), publication venue, and overall time that paper has been available on arXiv. Our analysis only includes papers that were eventually accepted for publication at top-tier CS conferences, and were posted on arXiv either before or after the acceptance notification. We observe that papers submitted to arXiv before acceptance have, on average, 65% more citations in the following year compared to papers submitted after. We note that this finding is not causal, and discuss possible next steps.