---
title: "KernSmooth (R package): papers citing this CRAN package"
description: "4 papers in the tracked journals link to KernSmooth (R package) in their Crossref records, the first in 2022; most of them (2) in 2026."
url: https://scholar4ai.com/code/cran-kernsmooth
markdown_url: https://scholar4ai.com/code/cran-kernsmooth.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to KernSmooth (R package) in their Crossref records, the first in 2022; most of them (2) in 2026. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# KernSmooth (R package): papers linking to it

Research papers in the 480 tracked journals that link to KernSmooth (R package) (https://CRAN.R-project.org/package=KernSmooth), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- CRAN
- https://CRAN.R-project.org/package=KernSmooth

All repositories: https://scholar4ai.com/code.md

## Key findings

- 4 papers in the tracked journals link to KernSmooth (R package) in their Crossref records, the first in 2022; most of them (2) in 2026.
- By category: Statistics (3) and Economics (1); the journals with the most are Computational Statistics & Data Analysis (2), Comparative Economic Studies (1) and Computational Statistics (1).

## By year

*Papers linking to KernSmooth (R package) by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2025 | 1 |
| 2026 | 2 |

## Journals

*Journals whose papers link to KernSmooth (R package) most*

| Journal | Papers |
|---|---:|
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2 |
| [Comparative Economic Studies](https://scholar4ai.com/journals/comparative-economic-studies.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |

## Papers

*Papers linking to KernSmooth (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-03-03 | [Discretionary Grants and Distributive Politics: Evidence from Spain](https://doi.org/10.1057/s41294-022-00186-3) | [Comparative Economic Studies](https://scholar4ai.com/journals/comparative-economic-studies.md) | Elena Jarocińska | 8 | cites it |
| 2025-09-04 | [Kernel density estimation with a Markov chain Monte Carlo sample](https://doi.org/10.1016/j.csda.2025.108271) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Hang Joon Kim, Steven N. MacEachern, Young Min Kim et al. | 4 | cites it |
| 2026-03-05 | [Random irregular histograms](https://doi.org/10.1016/j.csda.2026.108367) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Oskar Høgberg Simensen, Dennis Christensen, Nils Lid Hjort | 2 | cites it |
| 2026-01-01 | [Subagging for bandwidth selection: a computationally efficient approach to kernel density estimation](https://doi.org/10.1007/s00180-025-01712-4) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Mario Francisco‐Fernández, Daniel Barreiro‐Ures, Ricardo Cao | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). KernSmooth (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-kernsmooth

```bibtex
@misc{scholar4ai-code-cran-kernsmooth,
  author = {{Scholar4AI}},
  title = {KernSmooth (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-kernsmooth}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).