---
title: "PSORLab/McCormick.jl: papers citing this GitHub repository"
description: "3 papers in the tracked journals link to the GitHub repository PSORLab/McCormick.jl in their Crossref records, the first in 2022; most of them (1) in 2026."
url: https://scholar4ai.com/code/github-psorlab-mccormick-jl
markdown_url: https://scholar4ai.com/code/github-psorlab-mccormick-jl.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 the GitHub repository PSORLab/McCormick.jl in their Crossref records, the first in 2022; 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)
---

# PSORLab/McCormick.jl: papers linking to it

Research papers in the 480 tracked journals that link to PSORLab/McCormick.jl (https://github.com/PSORLab/McCormick.jl), 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
- 18 stars
- 7 forks
- Julia
- license MIT
- created 2020
- https://github.com/PSORLab/McCormick.jl

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository PSORLab/McCormick.jl in their Crossref records, the first in 2022; most of them (1) in 2026.
- By category: Operations Research (3); the journals with the most are Journal of Global Optimization (1), Journal of Optimization Theory and Applications (1) and Mathematical Programming Computation (1).
- 3 of the papers build on one another: a later paper cites an earlier one that also links PSORLab/McCormick.jl.

## By year

*Papers linking to PSORLab/McCormick.jl by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to PSORLab/McCormick.jl most*

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

## Family tree

Each paper sits under the earlier paper it builds on.

- [Convex and concave envelopes of artificial neural network activation functions for deterministic global optimization](https://doi.org/10.1007/s10898-022-01228-x) (Journal of Global Optimization, 2022)
  - [Improved Convex and Concave Relaxations of Composite Bilinear Forms](https://doi.org/10.1007/s10957-023-02196-2) (Journal of Optimization Theory and Applications, 2023) — cites the paper above
  - [Automatic generation of GPU kernels for evaluators of McCormick-based relaxations and subgradients](https://doi.org/10.1007/s12532-026-00339-w) (Mathematical Programming Computation, 2026) — cites the paper above

## Papers

*Papers linking to PSORLab/McCormick.jl, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-08-29 | [Convex and concave envelopes of artificial neural network activation functions for deterministic global optimization](https://doi.org/10.1007/s10898-022-01228-x) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | Matthew E. Wilhelm, Chenyu Wang, Matthew D. Stuber | 13 | cites it |
| 2023-03-12 | [Improved Convex and Concave Relaxations of Composite Bilinear Forms](https://doi.org/10.1007/s10957-023-02196-2) | [Journal of Optimization Theory and Applications](https://scholar4ai.com/journals/journal-of-optimization-theory-and-applications.md) | Matthew E. Wilhelm, Matthew D. Stuber | 0 | cites it |
| 2026-09-11 | [Automatic generation of GPU kernels for evaluators of McCormick-based relaxations and subgradients](https://doi.org/10.1007/s12532-026-00339-w) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | Robert X. Gottlieb, Matthew D. Stuber | 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). PSORLab/McCormick.jl: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-psorlab-mccormick-jl

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