kernlab (R package): papers linking to it

CRAN · CRAN.R-project.org/package=kernlab

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to kernlab (R package) (https://CRAN.R-project.org/package=kernlab), 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 kernlab (R package) in their Crossref records, the first in 2018; most of them (2) in 2020.
By category: AI (3) and Operations Research (1); the journals with the most are Optimization Letters (1), Neural Networks (1) and Neural Computing and Applications (1).

By year#

20182020

Papers linking to kernlab (R package) by publication year
Year	Papers
2018	1
2019	1
2020	2

Journals#

Journals whose papers link to kernlab (R package) most
Journal	Papers
Optimization Letters	1
Neural Networks	1
Neural Computing and Applications	1
Machine Learning	1

Papers linking to kernlab (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-12-21	An extensive experimental survey of regression methods	Neural Networks	Manuel Fernández-Delgado, Manisha Sanjay Sirsat, Eva Cernadas et al.	380	cites it
2020-07-06	Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms	Neural Computing and Applications	Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis	177	cites it
2019-05-09	Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques	Optimization Letters	Sun Hye Kim, Fani Boukouvala	119	cites it
2020-11-30	Kernel machines for current status data	Machine Learning	Yael Travis-Lumer, Yair Goldberg	6	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). kernlab (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-kernlab

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

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