---
title: "lars (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-lars
markdown_url: https://scholar4ai.com/code/cran-lars.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# lars (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=lars

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/journal-of-combinatorial-optimization.md) | 1 |
| [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s11116-020-10091-2) | [Transportation](https://scholar4ai.com/journals/transportation.md) | 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](https://doi.org/10.1007/s11222-017-9761-7) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Hassan Pazira, Luigi Augugliaro, Ernst C. Wit | 7 | cites it |
| 2023-03-01 | [An optimized feature selection technique based on bivariate copulas “GBCFS”](https://doi.org/10.1007/s10878-023-01006-9) | [Journal of Combinatorial Optimization](https://scholar4ai.com/journals/journal-of-combinatorial-optimization.md) | Karima Femmam, Brahim Brahimi, Smain Femmam | 2 | cites it |
| 2026-02-25 | [A framework to efficiently smooth L1 penalties for linear regression](https://doi.org/10.1007/s00180-025-01710-6) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).