---
title: "mgcv (R package): papers citing this CRAN package"
description: "14 papers in the tracked journals link to mgcv (R package) in their Crossref records, the first in 2017; most of them (4) in 2017."
url: https://scholar4ai.com/code/cran-mgcv
markdown_url: https://scholar4ai.com/code/cran-mgcv.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "14 papers in the tracked journals link to mgcv (R package) in their Crossref records, the first in 2017; most of them (4) in 2017. (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)
---

# mgcv (R package): papers linking to it

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

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

## Key findings

- 14 papers in the tracked journals link to mgcv (R package) in their Crossref records, the first in 2017; most of them (4) in 2017.
- By category: Statistics (8), Economics (2) and Finance (1); the journals with the most are Spatial Statistics (2), Computational Statistics & Data Analysis (2) and Journal of Economic Dynamics and Control (1).
- 3 of the papers build on one another: a later paper cites an earlier one that also links mgcv (R package).

## By year

*Papers linking to mgcv (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 4 |
| 2018 | 2 |
| 2019 | 1 |
| 2020 | 1 |
| 2022 | 1 |
| 2024 | 2 |
| 2025 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to mgcv (R package) most*

| Journal | Papers |
|---|---:|
| [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 2 |
| [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Dynamic survival models with varying coefficients for credit risks.](https://doi.org/10.1016/j.ejor.2018.11.029) (European Journal of Operational Research, 2018)
  - [Tree-based modeling of time-varying coefficients in discrete time-to-event models](https://doi.org/10.1007/s10985-019-09489-7) (Lifetime Data Analysis, 2019) — cites the paper above
  - [Money demand function with time-varying coefficients](https://doi.org/10.1016/j.qref.2024.101914) (The Quarterly Review of Economics and Finance, 2024) — cites the paper above

## Papers

*Papers linking to mgcv (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-04-11 | [Fast covariance estimation for sparse functional data](https://doi.org/10.1007/s11222-017-9744-8) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Luo Xiao, Cai Li, William Checkley et al. | 74 | cites it |
| 2025-02-13 | [Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models](https://doi.org/10.1007/s12599-024-00922-2) | [Business & Information Systems Engineering](https://scholar4ai.com/journals/business-information-systems-engineering.md) | Sven Kruschel, Nico Hambauer, Sven Weinzierl et al. | 52 | cites it |
| 2018-11-24 | [Dynamic survival models with varying coefficients for credit risks.](https://doi.org/10.1016/j.ejor.2018.11.029) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Viani Biatat Djeundje, Jonathan N Crook | 47 | cites it |
| 2017-01-17 | [A comparison of estimation methods for multilevel models of spatially structured data](https://doi.org/10.1016/j.spasta.2017.01.002) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Roger Bivand, Zhe Sha, Liv Osland et al. | 34 | cites it |
| 2017-12-20 | [Efficient estimation of COM–Poisson regression and a generalized additive model](https://doi.org/10.1016/j.csda.2017.11.011) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Suneel Babu Chatla, Galit Shmueli A | 33 | cites it |
| 2024-03-29 | [A comparative study of methods for estimating model-agnostic Shapley value explanations](https://doi.org/10.1007/s10618-024-01016-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Lars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum et al. | 23 | cites it |
| 2019-11-11 | [Tree-based modeling of time-varying coefficients in discrete time-to-event models](https://doi.org/10.1007/s10985-019-09489-7) | [Lifetime Data Analysis](https://scholar4ai.com/journals/lifetime-data-analysis.md) | Marie‐Therese Puth, Gerhard Tutz, Nils Heim et al. | 17 | cites it |
| 2020-09-24 | [The effects of trade size and market depth on immediate price impact in a limit order book market](https://doi.org/10.1016/j.jedc.2020.103992) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Manh Cuong Pham, Heather M. Anderson, Huu Nhan Duong et al. | 9 | cites it |
| 2022-12-16 | [Semi-parametric modelling of inefficiencies in stochastic frontier analysis](https://doi.org/10.1007/s11123-022-00656-x) | [Journal of Productivity Analysis](https://scholar4ai.com/journals/journal-of-productivity-analysis.md) | Giovanni Forchini, Raoul Theler | 6 | cites it |
| 2017-06-23 | [Bootstrap based uncertainty bands for prediction in functional kriging](https://doi.org/10.1016/j.spasta.2017.06.005) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Maria Franco‐Villoria, Rosaria Ignaccolo | 2 | cites it |
| 2018-12-20 | [The effect of explanatory variables on income: A tool that allows a closer look at the differences in income](https://doi.org/10.1016/j.ecosta.2018.12.001) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Gerhard Tutz, Moritz Berger | 2 | cites it |
| 2024-09-04 | [Money demand function with time-varying coefficients](https://doi.org/10.1016/j.qref.2024.101914) | [The Quarterly Review of Economics and Finance](https://scholar4ai.com/journals/the-quarterly-review-of-economics-and-finance.md) | Elyas Elyasiani, Hadi Movaghari | 2 | cites it |
| 2025-11-25 | [Thin plate regression splines for treatment effect estimation in a local randomisation regression discontinuity design](https://doi.org/10.1016/j.csda.2025.108306) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Mariam Adeleke, Giampiero Marra, Gianluca Baio et al. | 0 | cites it |
| 2026-04-27 | [Categorical Distance Correlation Under General Encodings and its Application to High-Dimensional Feature Screening](https://doi.org/10.1007/s42519-026-00583-2) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Qingyang Zhang | 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). mgcv (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-mgcv

```bibtex
@misc{scholar4ai-code-cran-mgcv,
  author = {{Scholar4AI}},
  title = {mgcv (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-mgcv}},
  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/).