---
title: "quadprog (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to quadprog (R package) in their Crossref records, the first in 2019; most of them (2) in 2020."
url: https://scholar4ai.com/code/cran-quadprog
markdown_url: https://scholar4ai.com/code/cran-quadprog.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "5 papers in the tracked journals link to quadprog (R package) in their Crossref records, the first in 2019; most of them (2) 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)
---

# quadprog (R package): papers linking to it

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

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

## Key findings

- 5 papers in the tracked journals link to quadprog (R package) in their Crossref records, the first in 2019; most of them (2) in 2020.
- By category: Statistics (2), Economics (1) and Management (1); the journals with the most are Journal of Productivity Analysis (1), Statistics and Computing (1) and Journal of Business Economics (1).

## By year

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

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2023 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | 1 |
| [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-04-08 | [Optimal non-negative forecast reconciliation](https://doi.org/10.1007/s11222-020-09930-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Shanika L. Wickramasuriya, Berwin A. Turlach, Rob J. Hyndman | 36 | cites it |
| 2019-10-18 | [On the choice of the low-dimensional domain for global optimization via random embeddings](https://doi.org/10.1007/s10898-019-00839-1) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | Mickaël Binois, David Ginsbourger, Olivier Roustant | 7 | cites it |
| 2021-12-23 | [Resource allocation procedures for unknown sales response functions with additive disturbances](https://doi.org/10.1007/s11573-021-01077-2) | [Journal of Business Economics](https://scholar4ai.com/journals/journal-of-business-economics.md) | Daniel Gahler, Harald Hruschka | 2 | cites it |
| 2020-06-25 | [KLERC: kernel Lagrangian expectile regression calculator](https://doi.org/10.1007/s00180-020-01003-0) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Songfeng Zheng | 1 | cites it |
| 2023-06-06 | [A ray-based input distance function to model zero-valued output quantities: Derivation and an empirical application](https://doi.org/10.1007/s11123-023-00684-1) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | Juan José Price, Arne Henningsen | 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). quadprog (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quadprog

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