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

mgcv (R package): papers linking to it

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

← Code and data repositories cited in research papers

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.

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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#

2017: 4 papers2018: 2 papers2019: 1 paper2020: 1 paper2022: 1 paper2024: 2 papers2025: 2 papers2026: 1 paper
20172026
Papers linking to mgcv (R package) by publication year
YearPapers
20174
20182
20191
20201
20221
20242
20252
20261

Journals#

Journals whose papers link to mgcv (R package) most
JournalPapers
Spatial Statistics2
Computational Statistics & Data Analysis2
Journal of Economic Dynamics and Control1
Statistics and Computing1
Econometrics and Statistics1

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 mgcv (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2017-04-11Fast covariance estimation for sparse functional dataStatistics and ComputingLuo Xiao, Cai Li, William Checkley et al.74cites it
2025-02-13Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning ModelsBusiness & Information Systems EngineeringSven Kruschel, Nico Hambauer, Sven Weinzierl et al.52cites it
2018-11-24Dynamic survival models with varying coefficients for credit risks.European Journal of Operational ResearchViani Biatat Djeundje, Jonathan N Crook47cites it
2017-01-17A comparison of estimation methods for multilevel models of spatially structured dataSpatial StatisticsRoger Bivand, Zhe Sha, Liv Osland et al.34cites it
2017-12-20Efficient estimation of COM–Poisson regression and a generalized additive modelComputational Statistics & Data AnalysisSuneel Babu Chatla, Galit Shmueli A33cites it
2024-03-29A comparative study of methods for estimating model-agnostic Shapley value explanationsData Mining and Knowledge DiscoveryLars Henry Berge Olsen, Ingrid K. Glad, Martin Jullum et al.23cites it
2019-11-11Tree-based modeling of time-varying coefficients in discrete time-to-event modelsLifetime Data AnalysisMarie‐Therese Puth, Gerhard Tutz, Nils Heim et al.17cites it
2020-09-24The effects of trade size and market depth on immediate price impact in a limit order book marketJournal of Economic Dynamics and ControlManh Cuong Pham, Heather M. Anderson, Huu Nhan Duong et al.9cites it
2022-12-16Semi-parametric modelling of inefficiencies in stochastic frontier analysisJournal of Productivity AnalysisGiovanni Forchini, Raoul Theler6cites it
2017-06-23Bootstrap based uncertainty bands for prediction in functional krigingSpatial StatisticsMaria Franco‐Villoria, Rosaria Ignaccolo2cites it
2018-12-20The effect of explanatory variables on income: A tool that allows a closer look at the differences in incomeEconometrics and StatisticsGerhard Tutz, Moritz Berger2cites it
2024-09-04Money demand function with time-varying coefficientsThe Quarterly Review of Economics and FinanceElyas Elyasiani, Hadi Movaghari2cites it
2025-11-25Thin plate regression splines for treatment effect estimation in a local randomisation regression discontinuity designComputational Statistics & Data AnalysisMariam Adeleke, Giampiero Marra, Gianluca Baio et al.0cites it
2026-04-27Categorical Distance Correlation Under General Encodings and its Application to High-Dimensional Feature ScreeningJournal of Statistical Theory and PracticeQingyang Zhang0cites 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

@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}
}

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