---
title: "nnls (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to nnls (R package) in their Crossref records, the first in 2020; most of them (3) in 2020."
url: https://scholar4ai.com/code/cran-nnls
markdown_url: https://scholar4ai.com/code/cran-nnls.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to nnls (R package) in their Crossref records, the first in 2020; most of them (3) in 2020. (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)
---

# nnls (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to nnls (R package) in their Crossref records, the first in 2020; most of them (3) in 2020.
- By category: Operations Research (2) and Statistics (1); the journals with the most are Transportation (1), Annals of the Institute of Statistical Mathematics (1) and Annals of Operations Research (1).

## By year

*Papers linking to nnls (R package) by publication year*

| Year | Papers |
|---|---:|
| 2020 | 3 |

## Journals

*Journals whose papers link to nnls (R package) most*

| Journal | Papers |
|---|---:|
| [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 |
| [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | 1 |
| [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 |

## Papers

*Papers linking to nnls (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-02-18 | [Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method](https://doi.org/10.1007/s11116-020-10090-3) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Nicholas Fournier, Eleni Christofa, Aditya Prakash et al. | 26 | cites it |
| 2020-03-09 | [Operations research methods for estimating the population size of neuron types](https://doi.org/10.1007/s10479-020-03542-7) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Sarojini M. Attili, Sean Mackesey, Giorgio A. Ascoli | 9 | cites it |
| 2020-10-12 | [High-dimensional sign-constrained feature selection and grouping](https://doi.org/10.1007/s10463-020-00766-z) | [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | Shanshan Qin, Hao Ding, Yuehua Wu et al. | 3 | 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). nnls (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-nnls

```bibtex
@misc{scholar4ai-code-cran-nnls,
  author = {{Scholar4AI}},
  title = {nnls (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-nnls}},
  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/).