---
title: "cvxgrp/scs: papers citing this GitHub repository"
description: "7 papers in the tracked journals link to the GitHub repository cvxgrp/scs in their Crossref records, the first in 2019; most of them (2) in 2021."
url: https://scholar4ai.com/code/github-cvxgrp-scs
markdown_url: https://scholar4ai.com/code/github-cvxgrp-scs.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to the GitHub repository cvxgrp/scs in their Crossref records, the first in 2019; most of them (2) in 2021. (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)
---

# cvxgrp/scs: papers linking to it

Research papers in the 480 tracked journals that link to cvxgrp/scs (https://github.com/cvxgrp/scs), 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.

- GitHub
- 638 stars
- 143 forks
- C
- license MIT
- created 2013
- https://github.com/cvxgrp/scs

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

## Key findings

- 7 papers in the tracked journals link to the GitHub repository cvxgrp/scs in their Crossref records, the first in 2019; most of them (2) in 2021.
- By category: Operations Research (6) and Statistics (1); the journals with the most are Mathematical Programming (2), Mathematical Programming Computation (1) and Journal of Optimization Theory and Applications (1).

## By year

*Papers linking to cvxgrp/scs by publication year*

| Year | Papers |
|---|---:|
| 2019 | 2 |
| 2021 | 2 |
| 2022 | 1 |
| 2024 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to cvxgrp/scs most*

| Journal | Papers |
|---|---:|
| [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | 2 |
| [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | 1 |
| [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | 1 |
| [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | 1 |
| [Optimization and Engineering](https://scholar4ai.com/journals/optimization-and-engineering.md) | 1 |

## Papers

*Papers linking to cvxgrp/scs, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-02-20 | [Chordal decomposition in operator-splitting methods for sparse semidefinite programs](https://doi.org/10.1007/s10107-019-01366-3) | [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | Yang Zheng, Giovanni Fantuzzi, Antonis Papachristodoulou et al. | 58 | cites it |
| 2019-08-26 | [Solution refinement at regular points of conic problems](https://doi.org/10.1007/s10589-019-00122-9) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Enzo Busseti, Walaa M. Moursi, Stephen Boyd | 28 | cites it |
| 2021-02-22 | [A comparison of optimization solvers for log binomial regression including conic programming](https://doi.org/10.1007/s00180-021-01084-5) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Florian Schwendinger, Bettina Grün, Kurt Hornik | 14 | cites it |
| 2021-02-25 | [Tax-Aware Portfolio Construction via Convex Optimization](https://doi.org/10.1007/s10957-021-01823-0) | [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | Nicholas Moehle, Mykel J. Kochenderfer, Stephen Boyd et al. | 13 | cites it |
| 2024-11-08 | [Neural spectrahedra and semidefinite lifts: global convex optimization of degree-two polynomial activation neural networks in polynomial-time](https://doi.org/10.1007/s10107-024-02153-5) | [Mathematical Programming](https://scholar4ai.com/journals/mathematical-programming.md) | Burak Bartan, Mert Pilancı | 3 | cites it |
| 2022-01-11 | [Minimizing oracle-structured composite functions](https://doi.org/10.1007/s11081-021-09705-0) | [Optimization and Engineering](https://scholar4ai.com/journals/optimization-and-engineering.md) | Xinyue Shen, Alnur Ali, Stephen Boyd | 1 | cites it |
| 2026-05-15 | [PDLP: a practical first-order method for large-scale linear programming](https://doi.org/10.1007/s12532-026-00309-2) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | David Applegate, Mateo Díaz, Oliver Hinder et al. | 1 | 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). cvxgrp/scs: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-cvxgrp-scs

```bibtex
@misc{scholar4ai-code-github-cvxgrp-scs,
  author = {{Scholar4AI}},
  title = {cvxgrp/scs: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-cvxgrp-scs}},
  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/).