---
title: "GregorCH/ipet: papers citing this GitHub repository"
description: "4 papers in the tracked journals link to the GitHub repository GregorCH/ipet in their Crossref records, the first in 2019; most of them (3) in 2021."
url: https://scholar4ai.com/code/github-gregorch-ipet
markdown_url: https://scholar4ai.com/code/github-gregorch-ipet.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 the GitHub repository GregorCH/ipet in their Crossref records, the first in 2019; most of them (3) 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)
---

# GregorCH/ipet: papers linking to it

Research papers in the 480 tracked journals that link to GregorCH/ipet (https://github.com/GregorCH/ipet), 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
- 27 stars
- 9 forks
- Python
- license MIT
- created 2016
- https://github.com/GregorCH/ipet

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository GregorCH/ipet in their Crossref records, the first in 2019; most of them (3) in 2021.
- By category: Operations Research (4); the journals with the most are Mathematical Programming Computation (3) and Journal of Heuristics (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links GregorCH/ipet.

## By year

*Papers linking to GregorCH/ipet by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2021 | 3 |

## Journals

*Journals whose papers link to GregorCH/ipet most*

| Journal | Papers |
|---|---:|
| [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | 3 |
| [Journal of Heuristics](https://scholar4ai.com/journals/journal-of-heuristics.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library](https://doi.org/10.1007/s12532-020-00194-3) (Mathematical Programming Computation, 2021)
  - [Adaptive large neighborhood search for mixed integer programming](https://doi.org/10.1007/s12532-021-00209-7) (Mathematical Programming Computation, 2021) — cites the paper above

## Papers

*Papers linking to GregorCH/ipet, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-01-07 | [MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library](https://doi.org/10.1007/s12532-020-00194-3) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | Ambros Gleixner, Gregor Hendel, Gerald Gamrath et al. | 204 | cites it |
| 2021-11-08 | [Adaptive large neighborhood search for mixed integer programming](https://doi.org/10.1007/s12532-021-00209-7) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | Gregor Hendel | 46 | cites it |
| 2019-04-06 | [Structure-driven fix-and-propagate heuristics for mixed integer programming](https://doi.org/10.1007/s12532-019-00159-1) | [Mathematical Programming Computation](https://scholar4ai.com/journals/mathematical-programming-computation.md) | Gerald Gamrath, Timo Berthold, Stefan Heinz et al. | 11 | cites it |
| 2021-02-23 | [Enhancing large neighbourhood search heuristics for Benders’ decomposition](https://doi.org/10.1007/s10732-021-09467-z) | [Journal of Heuristics](https://scholar4ai.com/journals/journal-of-heuristics.md) | Stephen J. Maher | 5 | 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). GregorCH/ipet: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-gregorch-ipet

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