---
title: "MASS (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-mass
markdown_url: https://scholar4ai.com/code/cran-mass.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# MASS (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=MASS

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2 |
| [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 1 |
| [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |
| [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 1 |
| [Higher Education](https://scholar4ai.com/journals/higher-education.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Deep Huber quantile regression networks](https://doi.org/10.1016/j.neunet.2025.107364) (Neural Networks, 2025)
  - [Variable transformations in consistent loss functions](https://doi.org/10.1016/j.knosys.2025.115202) (Knowledge-Based Systems, 2025) — cites the paper above

## Papers

*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](https://doi.org/10.1007/s12525-020-00445-0) | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 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](https://doi.org/10.1007/s11222-023-10260-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 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](https://doi.org/10.1007/s10734-024-01197-y) | [Higher Education](https://scholar4ai.com/journals/higher-education.md) | Henrik Levinsson, August Nilsson, Katarina Mårtensson et al. | 9 | cites it |
| 2025-03-05 | [Deep Huber quantile regression networks](https://doi.org/10.1016/j.neunet.2025.107364) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 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](https://doi.org/10.1016/j.eswa.2020.113700) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Martin Boďa, Martin Dlouhý, Emília Zimková | 6 | cites it |
| 2022-01-10 | [Receiver willingness to participate in off-hour service programs](https://doi.org/10.1016/j.tra.2021.12.014) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Benjamin Caron, José Holguín‐Veras | 6 | cites it |
| 2024-03-23 | [Variants of non-symmetric correspondence analysis for nominal and ordinal variables](https://doi.org/10.1007/s42952-023-00253-0) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Riya R. Jain, Kirtee K. Kamalja | 2 | cites it |
| 2025-05-28 | [Maximum likelihood estimation of parameters for double poisson regression: a simulation study](https://doi.org/10.1007/s00180-025-01636-z) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 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](https://doi.org/10.1016/j.eswa.2025.129449) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Menghua Li, Mingchang Chih, Chia-Fu Kou et al. | 2 | cites it |
| 2025-12-23 | [Variable transformations in consistent loss functions](https://doi.org/10.1016/j.knosys.2025.115202) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).