ks (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ks (R package) (https://CRAN.R-project.org/package=ks), 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#

12 papers in the tracked journals link to ks (R package) in their Crossref records, the first in 2016; most of them (2) in 2025.
By category: Statistics (8), AI (2) and Operations Research (1); the journals with the most are Computational Statistics & Data Analysis (3), Statistics and Computing (2) and Annals of Operations Research (1).
2 of the papers build on one another: a later paper cites an earlier one that also links ks (R package).

By year#

20162026

Papers linking to ks (R package) by publication year
Year	Papers
2016	1
2017	1
2018	2
2019	2
2020	1
2021	1
2023	1
2025	2
2026	1

Journals#

Journals whose papers link to ks (R package) most
Journal	Papers
Computational Statistics & Data Analysis	3
Statistics and Computing	2
Annals of Operations Research	1
Journal of Multivariate Analysis	1
Computational Statistics	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

D-vine copula based quantile regression Computational Statistics & Data Analysis, 2016
- The COVID-19 pandemic and speculation in energy, precious metals, and agricultural futures Journal of Behavioral and Experimental Finance, 2021 — cites the paper above

Papers linking to ks (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2016-12-28	D-vine copula based quantile regression	Computational Statistics & Data Analysis	Daniel Kraus, Claudia Czado	183	cites it
2019-11-21	On normalization and algorithm selection for unsupervised outlier detection	Data Mining and Knowledge Discovery	Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al.	62	cites it
2021-03-23	The COVID-19 pandemic and speculation in energy, precious metals, and agricultural futures	Journal of Behavioral and Experimental Finance	Imtiaz Mohammad Sifat, Abdul Ghafoor, Abdollah Ah Mand	57	cites it
2017-03-09	A nonparametric test for the comparison of first-order structures of spatial point processes	Spatial Statistics	Isabel Fuentes‐Santos, Wenceslao González–Manteiga, Jorge Mateu	14	cites it
2019-10-22	Bootstrapping kernel intensity estimation for inhomogeneous point processes with spatial covariates	Computational Statistics & Data Analysis	M. I. Borrajo, Wenceslao González–Manteiga, María Dolores Martínez‐Miranda	10	cites it
2018-09-05	Modeling uncertainty of expert elicitation for use in risk-based optimization	Annals of Operations Research	Michael D. Teter, Johannes Ø. Røyset, Alexandra M. Newman	6	cites it
2018-10-08	Robust two-sample test of high-dimensional mean vectors under dependence	Journal of Multivariate Analysis	Wei Wang, Nan Lin, Xiang Tang	6	cites it
2020-11-30	Kernel machines for current status data	Machine Learning	Yael Travis-Lumer, Yair Goldberg	6	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
2023-01-20	Moment-based density estimation of confidential micro-data: a computational statistics approach	Statistics and Computing	Bradley Wakefield, Yan‐Xia Lin, Rathindra Sarathy et al.	2	cites it
2025-09-12	Robust mean-shift clustering based on impartial trimming	Statistics and Computing	Luca Greco, Giovanna Menardi	0	cites it
2026-07-07	Interpretable contour level selection for heat maps for gridded data	Computational Statistics	Tarn Duong	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). ks (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-ks

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).