Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

CUTEst.jl: papers linking to it

Zenodo · Software · 2026 · archives github.com/juliasmoothoptimizers/cutest.jl · doi.org/10.5281/zenodo.1188851

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to CUTEst.jl (https://doi.org/10.5281/zenodo.1188851), 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.

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Key findings#

  • 4 papers in the tracked journals link to the Zenodo dataset CUTEst.jl in their Crossref records, the first in 2022; most of them (2) in 2023.
  • By category: Operations Research (4); the journals with the most are Mathematical Programming (2) and Computational Optimization and Applications (2).
  • It is a Zenodo archive of JuliaSmoothOptimizers/CUTEst.jl, which other papers here link to as well.

By year#

2022: 1 paper2023: 2 papers2025: 1 paper
20222025
Papers linking to CUTEst.jl by publication year
YearPapers
20221
20232
20251

Journals#

Journals whose papers link to CUTEst.jl most
JournalPapers
Mathematical Programming2
Computational Optimization and Applications2
Linked repositories CUTEst.jl derives from or that derive from it
RepositoryRelationPapers
JuliaSmoothOptimizers/CUTEst.jlCUTEst.jl is its Zenodo archive3
Papers linking to CUTEst.jl, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-06-30An adaptive stochastic sequential quadratic programming with differentiable exact augmented lagrangiansMathematical ProgrammingSen Na, Mihai Anitescu, Mladen Kolar30cites it
2023-01-09Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant conditionComputational Optimization and ApplicationsBrian Irwin, Eldad Haber9cites it
2023-10-31Scalable adaptive cubic regularization methodsMathematical ProgrammingJean‐Pierre Dussault, Tangi Migot, Dominique Orban9cites it
2025-05-26A unified approach for smoothing approximations to the exact $$\ell _1$$-penalty for inequality-constrained optimizationComputational Optimization and ApplicationsMariana da Rosa, Ademir A. Ribeiro, Elizabeth W. Karas1cites 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). CUTEst.jl: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-1188851

@misc{scholar4ai-code-zenodo-1188851,
  author = {{Scholar4AI}},
  title = {CUTEst.jl: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-1188851}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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