--- title: "spdep (R package): papers citing this CRAN package" description: "12 papers in the tracked journals link to spdep (R package) in their Crossref records, the first in 2016; most of them (3) in 2025." url: https://scholar4ai.com/code/cran-spdep markdown_url: https://scholar4ai.com/code/cran-spdep.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "12 papers in the tracked journals link to spdep (R package) in their Crossref records, the first in 2016; most of them (3) 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) --- # spdep (R package): papers linking to it Research papers in the 480 tracked journals that link to spdep (R package) (https://CRAN.R-project.org/package=spdep), 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=spdep All repositories: https://scholar4ai.com/code.md ## Key findings - 12 papers in the tracked journals link to spdep (R package) in their Crossref records, the first in 2016; most of them (3) in 2025. - By category: Economics (4), Operations Research (4) and Statistics (4); the journals with the most are The Annals of Regional Science (1), Letters in Spatial and Resource Sciences (1) and Annals of Operations Research (1). - 2 of the papers build on one another: a later paper cites an earlier one that also links spdep (R package). ## By year *Papers linking to spdep (R package) by publication year* | Year | Papers | |---|---:| | 2016 | 1 | | 2017 | 3 | | 2018 | 1 | | 2020 | 1 | | 2021 | 1 | | 2024 | 1 | | 2025 | 3 | | 2026 | 1 | ## Journals *Journals whose papers link to spdep (R package) most* | Journal | Papers | |---|---:| | [The Annals of Regional Science](https://scholar4ai.com/journals/the-annals-of-regional-science.md) | 1 | | [Letters in Spatial and Resource Sciences](https://scholar4ai.com/journals/letters-in-spatial-and-resource-sciences.md) | 1 | | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 | | [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 | | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 | ## Family tree Each paper sits under the earlier paper it builds on. - [Evaluating information criteria for selecting spatial processes](https://doi.org/10.1007/s00168-020-01033-y) (The Annals of Regional Science, 2021) - [Renormalized Maximum Likelihood for Spatial Lag Models](https://doi.org/10.1007/s11067-025-09715-w) (Networks and Spatial Economics, 2025) — cites the paper above ## Papers *Papers linking to spdep (R package), most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2016-12-16 | [Renewable generation across Italian regions: Spillover effects and effectiveness of European Regional Fund](https://doi.org/10.1016/j.enpol.2016.12.027) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Alfonso Carfora, Antonio Angelo Romano, Monica Ronghi et al. | 25 | cites it | | 2017-04-13 | [Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count tests](https://doi.org/10.1016/j.spasta.2017.03.003) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Roger Bivand, Justyna Wilk, Tomasz M. Kossowski | 22 | cites it | | 2017-12-02 | [Marginal maximum likelihood estimation of SAR models with missing data](https://doi.org/10.1016/j.csda.2017.11.004) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Thomas Suesse | 17 | cites it | | 2017-11-08 | [Estimation of spatial autoregressive models with measurement error for large data sets](https://doi.org/10.1007/s00180-017-0774-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Thomas Suesse | 12 | cites it | | 2021-01-02 | [Evaluating information criteria for selecting spatial processes](https://doi.org/10.1007/s00168-020-01033-y) | [The Annals of Regional Science](https://scholar4ai.com/journals/the-annals-of-regional-science.md) | Christos Agiakloglou, Apostolos Tsimpanos | 9 | cites it | | 2024-05-06 | [The future of regional inequalities: an ARIMA forecast](https://doi.org/10.1007/s12076-024-00379-7) | [Letters in Spatial and Resource Sciences](https://scholar4ai.com/journals/letters-in-spatial-and-resource-sciences.md) | Hasan Engìn Duran | 5 | cites it | | 2018-07-02 | [Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processes](https://doi.org/10.1007/s00181-018-1510-z) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Christos Agiakloglou, Cleon Tsimbos, Apostolos Tsimpanos | 1 | cites it | | 2020-02-18 | [Estimation of semiparametric varying-coefficient spatial autoregressive models with missing in the dependent variable](https://doi.org/10.1007/s42952-019-00048-2) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Guowang Luo, Mixia Wu, Zhen Pang | 1 | cites it | | 2025-10-03 | [Bayesian multilevel bivariate spatial modelling of Italian school data](https://doi.org/10.1007/s10479-025-06842-y) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Leonardo Cefalo, Alessio Pollice, Virgilio Gómez‐Rubio | 1 | cites it | | 2025-11-05 | [Accessibility of public charging infrastructure for electric vehicles across Central European countries: a geospatial analysis](https://doi.org/10.1007/s10100-025-01007-5) | [Central European Journal of Operations Research](https://scholar4ai.com/journals/central-european-journal-of-operations-research.md) | Tomáš Formánek, Jindra Lacko | 1 | cites it | | 2025-11-12 | [Renormalized Maximum Likelihood for Spatial Lag Models](https://doi.org/10.1007/s11067-025-09715-w) | [Networks and Spatial Economics](https://scholar4ai.com/journals/networks-and-spatial-economics.md) | Saïd Maanan | 1 | cites it | | 2026-04-10 | [Just another ride-hailing? examining the determinants of robotaxi demand in San Francisco](https://doi.org/10.1007/s11116-026-10751-9) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Patrick Loa, Yong‐Sung Lee, Giovanni Circella | 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). spdep (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-spdep ```bibtex @misc{scholar4ai-code-cran-spdep, author = {{Scholar4AI}}, title = {spdep (R package): papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/cran-spdep}}, 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/).