--- title: "rgdal (R package): papers citing this CRAN package" description: "8 papers in the tracked journals link to rgdal (R package) in their Crossref records, the first in 2018; most of them (3) in 2018." url: https://scholar4ai.com/code/cran-rgdal markdown_url: https://scholar4ai.com/code/cran-rgdal.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "8 papers in the tracked journals link to rgdal (R package) in their Crossref records, the first in 2018; most of them (3) in 2018. (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) --- # rgdal (R package): papers linking to it Research papers in the 480 tracked journals that link to rgdal (R package) (https://CRAN.R-project.org/package=rgdal), 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=rgdal All repositories: https://scholar4ai.com/code.md ## Key findings - 8 papers in the tracked journals link to rgdal (R package) in their Crossref records, the first in 2018; most of them (3) in 2018. - By category: Statistics (5), Economics (1) and Information Systems (1); the journals with the most are Computational Statistics (2), Spatial Statistics (2) and Small Business Economics (1). ## By year *Papers linking to rgdal (R package) by publication year* | Year | Papers | |---|---:| | 2018 | 3 | | 2021 | 1 | | 2023 | 2 | | 2025 | 2 | ## Journals *Journals whose papers link to rgdal (R package) most* | Journal | Papers | |---|---:| | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 | | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2 | | [Small Business Economics](https://scholar4ai.com/journals/small-business-economics.md) | 1 | | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 | | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | 1 | ## Papers *Papers linking to rgdal (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2021-01-15 | [A Methodology for Automatic Acquisition of Flood‐event Management Information From Social Media: the Flood in Messinia, South Greece, 2016](https://doi.org/10.1007/s10796-021-10105-z) | [Information Systems Frontiers](https://scholar4ai.com/journals/information-systems-frontiers.md) | Stathis G. Arapostathis | 30 | cites it | | 2018-12-27 | [Inducing non-orthogonal and non-linear decision boundaries in decision trees via interactive basis functions](https://doi.org/10.1016/j.eswa.2018.12.041) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Antonio Páez, Fernando A. López Hernández, Manuel Ruiz Marín et al. | 20 | cites it | | 2025-04-08 | [Greening pastures: Ecosystems for sustainable entrepreneurship](https://doi.org/10.1007/s11187-025-01040-3) | [Small Business Economics](https://scholar4ai.com/journals/small-business-economics.md) | Jip Leendertse, Frank J. van Rijnsoever | 13 | cites it | | 2018-06-19 | [A multi-scale area-interaction model for spatio-temporal point patterns](https://doi.org/10.1016/j.spasta.2018.06.001) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Adina A. Iftimi, M. N. M. van Lieshout, Francisco Montes | 12 | cites it | | 2018-04-21 | [Spatial detrending revisited: Modelling local trend patterns in NO2-concentration in Belgium and Germany](https://doi.org/10.1016/j.spasta.2018.04.004) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Svenia Behm, Harry Haupt, A. Schmid | 5 | cites it | | 2023-03-30 | [Let’s talk about the weather: a cluster-based approach to weather forecast accuracy](https://doi.org/10.1007/s00180-023-01339-3) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Jill F. Lundell, Brennan Bean, Jürgen Symanzik | 4 | cites it | | 2025-10-17 | [Efficient Likelihood-Based Temporal Changepoint Detection in Spatio-Temporal Processes](https://doi.org/10.1007/s11222-025-10745-0) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Gaurav Agarwal, Idris Arthur Eckley, Paul Fearnhead | 3 | cites it | | 2023-09-29 | [Housing variables and immigration: an exploratory analysis in New York City](https://doi.org/10.1007/s00180-023-01412-x) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Jhonatan Medri, Braden D. Probst, Jürgen Symanzik | 1 | 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). rgdal (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-rgdal ```bibtex @misc{scholar4ai-code-cran-rgdal, author = {{Scholar4AI}}, title = {rgdal (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-rgdal}}, 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/).