MASS (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to MASS (R package) (https://CRAN.R-project.org/package=MASS), 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#

10 papers in the tracked journals link to MASS (R package) in their Crossref records, the first in 2020; most of them (4) in 2025.
By category: AI (4), Statistics (3) and Information Systems (1); the journals with the most are Expert Systems with Applications (2), Electronic Markets (1) and Transportation Research Part A Policy and Practice (1).
2 of the papers build on one another: a later paper cites an earlier one that also links MASS (R package).

By year#

20202025

Papers linking to MASS (R package) by publication year
Year	Papers
2020	2
2022	1
2023	1
2024	2
2025	4

Journals#

Journals whose papers link to MASS (R package) most
Journal	Papers
Expert Systems with Applications	2
Electronic Markets	1
Transportation Research Part A Policy and Practice	1
Journal of the Korean Statistical Society	1
Higher Education	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.

Deep Huber quantile regression networks Neural Networks, 2025
- Variable transformations in consistent loss functions Knowledge-Based Systems, 2025 — cites the paper above

Papers linking to MASS (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2020-11-20	Exploring customers’ likeliness to use e-service touchpoints in brick and mortar retail	Electronic Markets	Benjamin Barann, Jan Hendrik Betzing, Marco Niemann et al.	28	cites it
2023-07-07	Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function	Statistics and Computing	Maicon J. Karling, Marc G. Genton, Simos G. Meintanis	10	cites it
2024-02-21	Course design as a stronger predictor of student evaluation of quality and student engagement than teacher ratings	Higher Education	Henrik Levinsson, August Nilsson, Katarina Mårtensson et al.	9	cites it
2025-03-05	Deep Huber quantile regression networks	Neural Networks	Hristos Tyralis, Georgia Papacharalampous, Nilay Doğulu et al.	7	cites it
2020-07-04	Modeling a shared hierarchical structure in data envelopment analysis: An application to bank branches	Expert Systems with Applications	Martin Boďa, Martin Dlouhý, Emília Zimková	6	cites it
2022-01-10	Receiver willingness to participate in off-hour service programs	Transportation Research Part A Policy and Practice	Benjamin Caron, José Holguín‐Veras	6	cites it
2024-03-23	Variants of non-symmetric correspondence analysis for nominal and ordinal variables	Journal of the Korean Statistical Society	Riya R. Jain, Kirtee K. Kamalja	2	cites it
2025-05-28	Maximum likelihood estimation of parameters for double poisson regression: a simulation study	Computational Statistics	Sebastian Appelbaum, Thomas Ostermann, Uwe Konerding	2	cites it
2025-08-22	Spindle thermal error modeling with linear and nonlinear hybrid tandem metamodel based on statistical and machine learning approaches	Expert Systems with Applications	Menghua Li, Mingchang Chih, Chia-Fu Kou et al.	2	cites it
2025-12-23	Variable transformations in consistent loss functions	Knowledge-Based Systems	Hristos Tyralis, Georgia Papacharalampous	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). MASS (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mass

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).