---
title: "spgwr (R package): papers citing this CRAN package"
description: "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."
url: https://scholar4ai.com/code/cran-spgwr
markdown_url: https://scholar4ai.com/code/cran-spgwr.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (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)
---

# spgwr (R package): papers linking to it

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.

- CRAN
- https://CRAN.R-project.org/package=spgwr

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 1 |
| [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 |
| [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 1 |
| [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | 1 |
| [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 1 |

## Papers

*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](https://doi.org/10.1016/j.spasta.2016.12.001) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.tra.2019.05.017) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Wangtu Ato Xu, Ying Huang | 72 | cites it |
| 2021-06-01 | [Influence of transportation network on transmission heterogeneity of COVID-19 in China](https://doi.org/10.1016/j.trc.2021.103231) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 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](https://doi.org/10.1007/s11116-023-10378-0) | [Transportation](https://scholar4ai.com/journals/transportation.md) | 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](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 |

## 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).