---
title: "fields (R package): papers citing this CRAN package"
description: "5 papers in the tracked journals link to fields (R package) in their Crossref records, the first in 2017; most of them (2) in 2017."
url: https://scholar4ai.com/code/cran-fields
markdown_url: https://scholar4ai.com/code/cran-fields.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 fields (R package) in their Crossref records, the first in 2017; most of them (2) in 2017. (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)
---

# fields (R package): papers linking to it

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

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

## Key findings

- 5 papers in the tracked journals link to fields (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
- By category: Operations Research (3) and Statistics (2); the journals with the most are Methodology And Computing In Applied Probability (1), Computational Statistics (1) and Spatial Statistics (1).

## By year

*Papers linking to fields (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 2 |
| 2020 | 1 |
| 2023 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to fields (R package) most*

| Journal | Papers |
|---|---:|
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 1 |
| [OR Spectrum](https://scholar4ai.com/journals/or-spectrum.md) | 1 |
| [Transportation](https://scholar4ai.com/journals/transportation.md) | 1 |

## Papers

*Papers linking to fields (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-02-20 | [An adapted geographically weighted LASSO (Ada-GWL) model for predicting subway ridership](https://doi.org/10.1007/s11116-020-10091-2) | [Transportation](https://scholar4ai.com/journals/transportation.md) | Yuxin He, Yang Zhao, Kwok‐Leung Tsui | 49 | cites it |
| 2017-06-14 | [A Monte Carlo study of design-generating algorithms for the latent class mixed logit model](https://doi.org/10.1007/s00291-017-0483-1) | [OR Spectrum](https://scholar4ai.com/journals/or-spectrum.md) | Andreas Falke, Harald Hruschka | 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 |
| 2017-03-23 | [Efficiently estimating some common geostatistical models by ‘energy–variance matching’ or its randomized ‘conditional–mean’ versions](https://doi.org/10.1016/j.spasta.2017.01.001) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Didier Girard | 1 | cites it |
| 2026-04-16 | [Simulation and Analysis of Multifractional Stochastic Processes with R Package Rmfrac](https://doi.org/10.1007/s11009-026-10267-w) | [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | Andriy Ya. Olenko, Nemini Samarakoon | 0 | 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). fields (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-fields

```bibtex
@misc{scholar4ai-code-cran-fields,
  author = {{Scholar4AI}},
  title = {fields (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-fields}},
  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/).