CVXR (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to CVXR (R package) (https://CRAN.R-project.org/package=CVXR), 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 CVXR (R package) in their Crossref records, the first in 2019; most of them (2) in 2020.
By category: Operations Research (2) and Statistics (2); the journals with the most are Optimization Letters (2) and Statistical Papers (2).

By year#

20192021

Papers linking to CVXR (R package) by publication year
Year	Papers
2019	1
2020	2
2021	1

Journals#

Journals whose papers link to CVXR (R package) most
Journal	Papers
Optimization Letters	2
Statistical Papers	2

Papers linking to CVXR (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-03-02	Disciplined quasiconvex programming	Optimization Letters	Akshay Agrawal, Stephen Boyd	44	cites it
2019-03-27	Disciplined geometric programming	Optimization Letters	Akshay Agrawal, Steven Diamond, Stephen Boyd	43	cites it
2021-03-11	Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity	Statistical Papers	Jun Zhao, Guanao Yan, Yi Zhang	16	cites it
2020-02-22	Estimating variances in time series kriging using convex optimization and empirical BLUPs	Statistical Papers	Martina Hančová, Andrej Gajdoš, Jozef Hanč et al.	6	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). CVXR (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-cvxr

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

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