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

spdep (R package): papers linking to it

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

← Code and data repositories cited in research papers

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.

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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#

2016: 1 paper2017: 3 papers2018: 1 paper2020: 1 paper2021: 1 paper2024: 1 paper2025: 3 papers2026: 1 paper
20162026
Papers linking to spdep (R package) by publication year
YearPapers
20161
20173
20181
20201
20211
20241
20253
20261

Journals#

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 spdep (R package), most cited first
PublishedTitleJournalAuthorsCitationsLink
2016-12-16Renewable generation across Italian regions: Spillover effects and effectiveness of European Regional FundEnergy PolicyAlfonso Carfora, Antonio Angelo Romano, Monica Ronghi et al.25cites it
2017-04-13Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count testsSpatial StatisticsRoger Bivand, Justyna Wilk, Tomasz M. Kossowski22cites it
2017-12-02Marginal maximum likelihood estimation of SAR models with missing dataComputational Statistics & Data AnalysisThomas Suesse17cites it
2017-11-08Estimation of spatial autoregressive models with measurement error for large data setsComputational StatisticsThomas Suesse12cites it
2021-01-02Evaluating information criteria for selecting spatial processesThe Annals of Regional ScienceChristos Agiakloglou, Apostolos Tsimpanos9cites it
2024-05-06The future of regional inequalities: an ARIMA forecastLetters in Spatial and Resource SciencesHasan Engìn Duran5cites it
2018-07-02Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processesEmpirical EconomicsChristos Agiakloglou, Cleon Tsimbos, Apostolos Tsimpanos1cites it
2020-02-18Estimation of semiparametric varying-coefficient spatial autoregressive models with missing in the dependent variableJournal of the Korean Statistical SocietyGuowang Luo, Mixia Wu, Zhen Pang1cites it
2025-10-03Bayesian multilevel bivariate spatial modelling of Italian school dataAnnals of Operations ResearchLeonardo Cefalo, Alessio Pollice, Virgilio Gómez‐Rubio1cites it
2025-11-05Accessibility of public charging infrastructure for electric vehicles across Central European countries: a geospatial analysisCentral European Journal of Operations ResearchTomáš Formánek, Jindra Lacko1cites it
2025-11-12Renormalized Maximum Likelihood for Spatial Lag ModelsNetworks and Spatial EconomicsSaïd Maanan1cites it
2026-04-10Just another ride-hailing? examining the determinants of robotaxi demand in San FranciscoTransportationPatrick Loa, Yong‐Sung Lee, Giovanni Circella1cites 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

@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}
}

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