lars (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to lars (R package) (https://CRAN.R-project.org/package=lars), 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 lars (R package) in their Crossref records, the first in 2017; most of them (1) in 2026.
By category: Operations Research (2) and Statistics (2); the journals with the most are Journal of Combinatorial Optimization (1), Transportation (1) and Statistics and Computing (1).

By year#

20172026

Papers linking to lars (R package) by publication year
Year	Papers
2017	1
2020	1
2023	1
2026	1

Journals#

Journals whose papers link to lars (R package) most
Journal	Papers
Journal of Combinatorial Optimization	1
Transportation	1
Statistics and Computing	1
Computational Statistics	1

Papers linking to lars (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-02-20	An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership	Transportation	Yuxin He, Yang Zhao, Kwok‐Leung Tsui	49	cites it
2017-06-21	Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter	Statistics and Computing	Hassan Pazira, Luigi Augugliaro, Ernst C. Wit	7	cites it
2023-03-01	An optimized feature selection technique based on bivariate copulas “GBCFS”	Journal of Combinatorial Optimization	Karima Femmam, Brahim Brahimi, Smain Femmam	2	cites it
2026-02-25	A framework to efficiently smooth L1 penalties for linear regression	Computational Statistics	Georg Hahn, Sharon M. Lutz, Nilanjana Laha et al.	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). lars (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-lars

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

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