---
title: "andremun/InstanceSpace: papers citing it"
description: "3 papers in the tracked journals link to the GitHub repository andremun/InstanceSpace in their Crossref records, the first in 2019; most of them (1) in 2023."
url: https://scholar4ai.com/code/github-andremun-instancespace
markdown_url: https://scholar4ai.com/code/github-andremun-instancespace.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 andremun/InstanceSpace in their Crossref records, the first in 2019; most of them (1) in 2023. (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)
---

# andremun/InstanceSpace: papers linking to it

Research papers in the 480 tracked journals that link to andremun/InstanceSpace (https://github.com/andremun/InstanceSpace), 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
- 46 stars
- 9 forks
- MATLAB
- created 2018
- https://github.com/andremun/InstanceSpace

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository andremun/InstanceSpace in their Crossref records, the first in 2019; most of them (1) in 2023.
- By category: Operations Research (2) and AI (1); the journals with the most are European Journal of Operational Research (1), Computers & Operations Research (1) and Data Mining and Knowledge Discovery (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links andremun/InstanceSpace.

## By year

*Papers linking to andremun/InstanceSpace by publication year*

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

## Journals

*Journals whose papers link to andremun/InstanceSpace most*

| Journal | Papers |
|---|---:|
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |
| [Computers & Operations Research](https://scholar4ai.com/journals/computers-operations-research.md) | 1 |
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [On normalization and algorithm selection for unsupervised outlier detection](https://doi.org/10.1007/s10618-019-00661-z) (Data Mining and Knowledge Discovery, 2019)
  - [Revisiting where are the hard knapsack problems? via Instance Space Analysis](https://doi.org/10.1016/j.cor.2020.105184) (Computers & Operations Research, 2020) — cites the paper above

## Papers

*Papers linking to andremun/InstanceSpace, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2019-11-21 | [On normalization and algorithm selection for unsupervised outlier detection](https://doi.org/10.1007/s10618-019-00661-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Sevvandi Kandanaarachchi, Mario Andrés Muñoz, Rob J. Hyndman et al. | 62 | cites it |
| 2020-12-18 | [Revisiting where are the hard knapsack problems? via Instance Space Analysis](https://doi.org/10.1016/j.cor.2020.105184) | [Computers & Operations Research](https://scholar4ai.com/journals/computers-operations-research.md) | Kate Smith‐Miles, Jeffrey Christiansen, Mario Andrés Muñoz | 41 | cites it |
| 2023-02-10 | [Responsive strategic oscillation for solving the disjunctively constrained knapsack problem](https://doi.org/10.1016/j.ejor.2023.02.009) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Zequn Wei, Jin‐Kao Hao, Jintong Ren et al. | 13 | 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). andremun/InstanceSpace: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-andremun-instancespace

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