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

recommenderlab (R package): papers linking to it

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

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to recommenderlab (R package) (https://CRAN.R-project.org/package=recommenderlab), 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 recommenderlab (R package) in their Crossref records, the first in 2019; most of them (2) in 2020.
  • By category: Finance (2) and Operations Research (2); the journals with the most are Journal of Revenue and Pricing Management (2) and European Journal of Operational Research (2).
  • 4 of the papers build on one another: a later paper cites an earlier one that also links recommenderlab (R package).

By year#

2019: 1 paper2020: 2 papers2021: 1 paper
20192021
Papers linking to recommenderlab (R package) by publication year
YearPapers
20191
20202
20211

Journals#

Journals whose papers link to recommenderlab (R package) most
JournalPapers
Journal of Revenue and Pricing Management2
European Journal of Operational Research2

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.

Papers linking to recommenderlab (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2019-06-06Evaluating multi-label classifiers and recommender systems in the financial service sectorEuropean Journal of Operational ResearchMatthias Bogaert, Justine Lootens, Dirk Van den Poel et al.55cites it
2020-01-13Recommendation generation using personalized weight of meta-paths in heterogeneous information networksEuropean Journal of Operational ResearchMukul Gupta, Pradeep Kumar51cites it
2020-01-08Random Utility Models with Cardinality Context Effects for Online Subscription Service PlatformsJournal of Revenue and Pricing ManagementUzma Mushtaque, Jennifer A. Pazour6cites it
2021-02-12Assortment optimization under cardinality effects and novelty for unequal profit margin itemsJournal of Revenue and Pricing ManagementUzma Mushtaque, Jennifer A. Pazour4cites 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). recommenderlab (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-recommenderlab

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

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