stevengj/nlopt: papers linking to it

GitHub · 2,288 stars · 691 forks · C · created 2013 · github.com/stevengj/nlopt

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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.

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#

20192026

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	2
Optimization Letters	2
Statistics and Computing	2
International Journal of Forecasting	1
European Journal of Operational Research	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Global optimization via inverse distance weighting and radial basis functions Computational Optimization and Applications, 2020
- Global optimization based on active preference learning with radial basis functions Machine Learning, 2020 — cites the paper above

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	International Journal of Forecasting	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	Computational Optimization and Applications	Alberto Bemporad	69	cites it
2020-12-28	Global optimization based on active preference learning with radial basis functions	Machine Learning	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	Transportation Research Part C Emerging Technologies	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	Computational Economics	Ranik Raaen Wahlstrøm, Florentina Paraschiv, Michael Schürle	23	cites it
2019-06-27	A discontinuous derivative-free optimization framework for multi-enterprise supply chain	Optimization Letters	Atharv Bhosekar, Marianthi Ierapetritou	11	cites it
2023-10-16	Density estimation for toroidal data using semiparametric mixtures	Statistics and Computing	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	Applied Intelligence	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	Health Care Management Science	Mostafa Rezaei, Ármann Ingólfsson	3	cites it
2023-03-30	Discrimination between Gaussian process models: active learning and static constructions	Statistical Papers	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	International Journal of Industrial Organization	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	Annals of Operations Research	Davide Biancalana, Fabio Baione, Manfred Marvin Marchione	2	cites it
2020-03-24	Probabilistic bisection with spatial metamodels	European Journal of Operational Research	Sergio Rodriguez, Michael Ludkovski	1	cites it
2025-12-19	Block-Additive Gaussian Processes under Monotonicity Constraints	Statistics and Computing	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	Optimization Letters	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	Journal of Global Optimization	Susanne Saß, Alexander Mitsos, Nikolay Ivanov Nikolov et al.	0	cites it
2025-07-10	BRcal: An R Package to Boldness-Recalibrate Probability Predictions	Journal of Statistical Theory and Practice	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	Journal of Global Optimization	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	Insurance Mathematics and Economics	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

@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}
}

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