hyperopt/hyperopt: papers linking to it

GitHub · 7,600 stars · 1,076 forks · Python · created 2011 · github.com/hyperopt/hyperopt

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to hyperopt/hyperopt (https://github.com/hyperopt/hyperopt), 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#

3 papers in the tracked journals link to the GitHub repository hyperopt/hyperopt in their Crossref records, the first in 2020; most of them (1) in 2022.
By category: Operations Research (2) and AI (1); the journals with the most are Artificial Intelligence Review (1), Computers & Operations Research (1) and Optimization and Engineering (1).

By year#

20202022

Papers linking to hyperopt/hyperopt by publication year
Year	Papers
2020	1
2021	1
2022	1

Journals#

Journals whose papers link to hyperopt/hyperopt most
Journal	Papers
Artificial Intelligence Review	1
Computers & Operations Research	1
Optimization and Engineering	1

Papers linking to hyperopt/hyperopt, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-05-26	How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms	Artificial Intelligence Review	Jacques Wainer, Pablo Fonseca	114	cites it
2020-02-20	A multiperiod workforce scheduling and routing problem with dependent tasks	Computers & Operations Research	Dilson Lucas Pereira, Júlio César Alves, Mayron César de Oliveira Moreira	36	cites it
2022-01-13	A novel optimization perspective to the problem of designing sequences of tasks in a reinforcement learning framework	Optimization and Engineering	Ruggiero Seccia, Francesco Foglino, Matteo Leonetti 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). hyperopt/hyperopt: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-hyperopt-hyperopt

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

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