dnychka/fieldsRPackage: papers linking to it

GitHub · 16 stars · 6 forks · R · license GPL-2.0 · created 2021 · github.com/dnychka/fieldsRPackage

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to dnychka/fieldsRPackage (https://github.com/dnychka/fieldsRPackage), 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 the GitHub repository dnychka/fieldsRPackage in their Crossref records, the first in 2025; most of them (3) in 2025.
By category: Statistics (4); the journals with the most are Statistics and Computing (2), Computational Statistics & Data Analysis (1) and Journal of Statistical Theory and Practice (1).

By year#

20252026

Papers linking to dnychka/fieldsRPackage by publication year
Year	Papers
2025	3
2026	1

Journals#

Journals whose papers link to dnychka/fieldsRPackage most
Journal	Papers
Statistics and Computing	2
Computational Statistics & Data Analysis	1
Journal of Statistical Theory and Practice	1

Papers linking to dnychka/fieldsRPackage, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-10-17	Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes	Statistics and Computing	Gaurav Agarwal, Idris Arthur Eckley, Paul Fearnhead	3	cites it
2025-07-10	BRcal: An R Package to Boldness-Recalibrate Probability Predictions	Journal of Statistical Theory and Practice	Adeline P. Guthrie, Christopher T. Franck	0	cites it
2025-12-05	Robust functional regression with discretely sampled predictors	Computational Statistics & Data Analysis	Ioannis Kalogridis, Stanislav Nagy	0	cites it
2026-10-17	On spatially-adaptive intensity estimation for spatial point processes	Statistics and Computing	Mehdi Moradi, Ferry Heinzelmann	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). dnychka/fieldsRPackage: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-dnychka-fieldsrpackage

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

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