---
title: "jlblancoc/nanoflann: papers citing this GitHub repository"
description: "4 papers in the tracked journals link to the GitHub repository jlblancoc/nanoflann in their Crossref records, the first in 2022; most of them (1) in 2025."
url: https://scholar4ai.com/code/github-jlblancoc-nanoflann
markdown_url: https://scholar4ai.com/code/github-jlblancoc-nanoflann.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 jlblancoc/nanoflann in their Crossref records, the first in 2022; most of them (1) in 2025. (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)
---

# jlblancoc/nanoflann: papers linking to it

Research papers in the 480 tracked journals that link to jlblancoc/nanoflann (https://github.com/jlblancoc/nanoflann), 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
- 2,702 stars
- 529 forks
- C++
- license BSD-2-Clause
- created 2014
- https://github.com/jlblancoc/nanoflann

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

## Key findings

- 4 papers in the tracked journals link to the GitHub repository jlblancoc/nanoflann in their Crossref records, the first in 2022; most of them (1) in 2025.
- By category: AI (3) and Statistics (1); the journals with the most are International Journal of Computer Vision (1), Statistics and Computing (1) and Knowledge-Based Systems (1).

## By year

*Papers linking to jlblancoc/nanoflann by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to jlblancoc/nanoflann most*

| Journal | Papers |
|---|---:|
| [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 |

## Papers

*Papers linking to jlblancoc/nanoflann, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-08-01 | [Rate-optimal refinement strategies for local approximation MCMC](https://doi.org/10.1007/s11222-022-10123-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Andrew D. Davis, Youssef Marzouk, Aaron Douglas Smith et al. | 6 | cites it |
| 2024-05-23 | [RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds](https://doi.org/10.1007/s11263-024-02093-9) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | Ramy Battrawy, René Schuster, Didier Stricker | 4 | cites it |
| 2025-10-28 | [A saddle point-guided clustering algorithm for data with complex structure](https://doi.org/10.1016/j.knosys.2025.114726) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Xiaogang Huang, Jun Jin, Dan Zhuang et al. | 2 | cites it |
| 2023-03-20 | [An incremental facility location clustering with a new hybrid constrained pseudometric](https://doi.org/10.1016/j.patcog.2023.109520) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Tomáš Bayer, Ivana Kolingerová, Markéta Potůčková 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). jlblancoc/nanoflann: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-jlblancoc-nanoflann

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