KernSmooth (R package): papers linking to it

CRAN · CRAN.R-project.org/package=KernSmooth

← Code and data repositories cited in research papers

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.

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#

20222026

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	2
Comparative Economic Studies	1
Computational Statistics	1

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	Comparative Economic Studies	Elena Jarocińska	8	cites it
2025-09-04	Kernel density estimation with a Markov chain Monte Carlo sample	Computational Statistics & Data Analysis	Hang Joon Kim, Steven N. MacEachern, Young Min Kim et al.	4	cites it
2026-03-05	Random irregular histograms	Computational Statistics & Data Analysis	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	Computational Statistics	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

@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}
}

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