jlblancoc/nanoflann: papers linking to it

GitHub · 2,702 stars · 529 forks · C++ · license BSD-2-Clause · created 2014 · github.com/jlblancoc/nanoflann

← Code and data repositories cited in research papers

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.

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#

20222025

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	1
Statistics and Computing	1
Knowledge-Based Systems	1
Pattern Recognition	1

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	Statistics and Computing	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	International Journal of Computer Vision	Ramy Battrawy, René Schuster, Didier Stricker	4	cites it
2025-10-28	A saddle point-guided clustering algorithm for data with complex structure	Knowledge-Based Systems	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	Pattern Recognition	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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).