spgwr (R package): papers linking to it

← Code and data repositories cited in research papers

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

Key findings#

5 papers in the tracked journals link to spgwr (R package) in their Crossref records, the first in 2016; most of them (1) in 2023.
By category: Operations Research (3), Economics (1) and Statistics (1); the journals with the most are Transportation Research Part C Emerging Technologies (1), Transportation (1) and Empirical Economics (1).

By year#

20162023

Papers linking to spgwr (R package) by publication year
Year	Papers
2016	1
2018	1
2019	1
2021	1
2023	1

Journals#

Journals whose papers link to spgwr (R package) most
Journal	Papers
Transportation Research Part C Emerging Technologies	1
Transportation	1
Empirical Economics	1
Transportation Research Part A Policy and Practice	1
Spatial Statistics	1

Papers linking to spgwr (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2016-12-18	A Moran coefficient-based mixed effects approach to investigate spatially varying relationships	Spatial Statistics	Daisuke Murakami, Takahiro Yoshida, Hajime Seya et al.	95	cites it
2019-06-03	The correlation between HSR construction and economic development – Empirical study of Chinese cities	Transportation Research Part A Policy and Practice	Wangtu Ato Xu, Ying Huang	72	cites it
2021-06-01	Influence of transportation network on transmission heterogeneity of COVID-19 in China	Transportation Research Part C Emerging Technologies	Jing Lu, Anrong Lin, Changmin Jiang et al.	42	cites it
2023-03-14	Exploring the spatiotemporal factors affecting bicycle-sharing demand during the COVID-19 pandemic	Transportation	Sanjana Hossain, Patrick Loa, Felita Ong et al.	16	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	Empirical Economics	Christos Agiakloglou, Cleon Tsimbos, Apostolos Tsimpanos	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). spgwr (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-spgwr

@misc{scholar4ai-code-cran-spgwr,
  author = {{Scholar4AI}},
  title = {spgwr (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-spgwr}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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