---
title: "stevengj/nlopt: papers citing this GitHub repository"
description: "19 papers in the tracked journals link to the GitHub repository stevengj/nlopt in their Crossref records, the first in 2019; most of them (4) in 2025."
url: https://scholar4ai.com/code/github-stevengj-nlopt
markdown_url: https://scholar4ai.com/code/github-stevengj-nlopt.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "19 papers in the tracked journals link to the GitHub repository stevengj/nlopt in their Crossref records, the first in 2019; most of them (4) 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)
---

# stevengj/nlopt: papers linking to it

Research papers in the 480 tracked journals that link to stevengj/nlopt (https://github.com/stevengj/nlopt), 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
- 2,288 stars
- 691 forks
- C
- created 2013
- https://github.com/stevengj/nlopt

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

## Key findings

- 19 papers in the tracked journals link to the GitHub repository stevengj/nlopt in their Crossref records, the first in 2019; most of them (4) in 2025.
- By category: Operations Research (9), Statistics (4) and Economics (3); the journals with the most are Journal of Global Optimization (2), Optimization Letters (2) and Statistics and Computing (2).
- 2 of the papers build on one another: a later paper cites an earlier one that also links stevengj/nlopt.

## By year

*Papers linking to stevengj/nlopt by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 3 |
| 2021 | 1 |
| 2022 | 2 |
| 2023 | 3 |
| 2024 | 3 |
| 2025 | 4 |
| 2026 | 2 |

## Journals

*Journals whose papers link to stevengj/nlopt most*

| Journal | Papers |
|---|---:|
| [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | 2 |
| [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | 2 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 2 |
| [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | 1 |
| [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Global optimization via inverse distance weighting and radial basis functions](https://doi.org/10.1007/s10589-020-00215-w) (Computational Optimization and Applications, 2020)
  - [Global optimization based on active preference learning with radial basis functions](https://doi.org/10.1007/s10994-020-05935-y) (Machine Learning, 2020) — cites the paper above

## Papers

*Papers linking to stevengj/nlopt, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-04-07 | [Forecasting electricity prices with expert, linear, and nonlinear models](https://doi.org/10.1016/j.ijforecast.2022.01.003) | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | Anna Gloria Billé, Angelica Gianfreda, Filippo Del Grosso et al. | 78 | cites it |
| 2020-07-27 | [Global optimization via inverse distance weighting and radial basis functions](https://doi.org/10.1007/s10589-020-00215-w) | [Computational Optimization and Applications](https://scholar4ai.com/journals/computational-optimization-and-applications.md) | Alberto Bemporad | 69 | cites it |
| 2020-12-28 | [Global optimization based on active preference learning with radial basis functions](https://doi.org/10.1007/s10994-020-05935-y) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Alberto Bemporad, Dario Piga | 52 | cites it |
| 2024-01-12 | [Geometric field model of driver’s perceived risk for safe and human-like trajectory planning](https://doi.org/10.1016/j.trc.2023.104470) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Taokai Xia, Hui Chen, J. C. S. Yang et al. | 27 | cites it |
| 2021-04-15 | [A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions](https://doi.org/10.1007/s10614-021-10113-w) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Ranik Raaen Wahlstrøm, Florentina Paraschiv, Michael Schürle | 23 | cites it |
| 2019-06-27 | [A discontinuous derivative-free optimization framework for multi-enterprise supply chain](https://doi.org/10.1007/s11590-019-01446-5) | [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | Atharv Bhosekar, Marianthi Ierapetritou | 11 | cites it |
| 2023-10-16 | [Density estimation for toroidal data using semiparametric mixtures](https://doi.org/10.1007/s11222-023-10305-4) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Danli Xu, Yong Wang | 6 | cites it |
| 2024-11-30 | [A multi-criteria decision support system to evaluate the effectiveness of training courses on citizens’ employability](https://doi.org/10.1007/s10489-024-05967-0) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | María C. Bas, Vicente J. Bolós, Álvaro E. Prieto et al. | 4 | cites it |
| 2024-10-19 | [Forecasting to support EMS tactical planning: what is important and what is not](https://doi.org/10.1007/s10729-024-09690-7) | [Health Care Management Science](https://scholar4ai.com/journals/health-care-management-science.md) | Mostafa Rezaei, Ármann Ingólfsson | 3 | cites it |
| 2023-03-30 | [Discrimination between Gaussian process models: active learning and static constructions](https://doi.org/10.1007/s00362-023-01436-x) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Elham Yousefi, Luc Pronzato B, Markus Hainy et al. | 2 | cites it |
| 2023-04-02 | [Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima](https://doi.org/10.1016/j.ijindorg.2023.102950) | [International Journal of Industrial Organization](https://scholar4ai.com/journals/international-journal-of-industrial-organization.md) | László Pál, Zsolt Sándor | 2 | cites it |
| 2025-07-15 | [Copulas to model non-monotonic dependency: an application on the relationship between temperature and mortality](https://doi.org/10.1007/s10479-025-06714-5) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Davide Biancalana, Fabio Baione, Manfred Marvin Marchione | 2 | cites it |
| 2020-03-24 | [Probabilistic bisection with spatial metamodels](https://doi.org/10.1016/j.ejor.2020.03.049) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Sergio Rodriguez, Michael Ludkovski | 1 | cites it |
| 2025-12-19 | [Block-Additive Gaussian Processes under Monotonicity Constraints](https://doi.org/10.1007/s11222-025-10791-8) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Mathis Deronzier, Andrés F. López-Lopera, François Bachoc et al. | 1 | cites it |
| 2022-11-13 | [Modeling approaches for addressing unrelaxable bound constraints with unconstrained optimization methods](https://doi.org/10.1007/s11590-022-01950-1) | [Optimization Letters](https://scholar4ai.com/journals/optimization-letters.md) | Jeffrey M. Larson, Misha Padidar, Stefan M. Wild | 0 | cites it |
| 2025-06-23 | [Out-of-sample estimation for a branch-and-bound algorithm with growing datasets](https://doi.org/10.1007/s10898-025-01514-4) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | Susanne Saß, Alexander Mitsos, Nikolay Ivanov Nikolov et al. | 0 | cites it |
| 2025-07-10 | [BRcal: An R Package to Boldness-Recalibrate Probability Predictions](https://doi.org/10.1007/s42519-025-00466-y) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Adeline P. Guthrie, Christopher T. Franck | 0 | cites it |
| 2026-01-30 | [Optimal Piecewise Linear Approximations for Sigmoid, Tanh, Probability Density and Cumulative Distribution Functions: Tabular Form and R Package pwlapprox2d](https://doi.org/10.1007/s10898-026-01588-8) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | John Alasdair Warwicker, Steffen Rebennack | 0 | cites it |
| 2026-06-30 | [Optimal benefits, contributions, and asset allocation for a PAYG system with reserve fund under equity, longevity, and unemployment risks](https://doi.org/10.1016/j.insmatheco.2026.103273) | [Insurance Mathematics and Economics](https://scholar4ai.com/journals/insurance-mathematics-and-economics.md) | Sander van Eekelen, Frank van Berkum, Torsten Kleinow et al. | 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). stevengj/nlopt: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-stevengj-nlopt

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