---
title: "vegan (R package): papers citing this CRAN package"
description: "8 papers in the tracked journals link to vegan (R package) in their Crossref records, the first in 2017; most of them (2) in 2023."
url: https://scholar4ai.com/code/cran-vegan
markdown_url: https://scholar4ai.com/code/cran-vegan.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "8 papers in the tracked journals link to vegan (R package) in their Crossref records, the first in 2017; most of them (2) 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)
---

# vegan (R package): papers linking to it

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

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

## Key findings

- 8 papers in the tracked journals link to vegan (R package) in their Crossref records, the first in 2017; most of them (2) in 2023.
- By category: Statistics (2), Higher Education and Research (2) and Economics (1); the journals with the most are Scientometrics (2), World Development (1) and European Research on Management and Business Economics (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2018 | 1 |
| 2019 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 2 |
| 2024 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 2 |
| [World Development](https://scholar4ai.com/journals/world-development.md) | 1 |
| [European Research on Management and Business Economics](https://scholar4ai.com/journals/european-research-on-management-and-business-economics.md) | 1 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-09-01 | [Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance](https://doi.org/10.1016/j.iedeen.2023.100223) | [European Research on Management and Business Economics](https://scholar4ai.com/journals/european-research-on-management-and-business-economics.md) | Mariano Méndez-Suárez, Abel Monfort, José-Luis Hervás-Oliver | 54 | cites it |
| 2021-07-19 | [Disentangling ecosystem services preferences and values](https://doi.org/10.1016/j.worlddev.2021.105621) | [World Development](https://scholar4ai.com/journals/world-development.md) | Marleen Simone Schutter, Christina Chemtai Hicks, Jacob Phelps et al. | 21 | cites it |
| 2017-06-03 | [Air and HST Multimodal Products. A Segmentation Analysis for Policy Makers](https://doi.org/10.1007/s11067-017-9352-3) | [Networks and Spatial Economics](https://scholar4ai.com/journals/networks-and-spatial-economics.md) | Juan Gabriel Brida, Juan Carlos Martı́n, Concepción Román et al. | 19 | cites it |
| 2019-05-13 | [Detecting taxi movements using Random Swap clustering and sequential pattern mining](https://doi.org/10.1186/s40537-019-0203-6) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Rami Ibrahim, M. Omair Shafiq | 19 | cites it |
| 2018-02-26 | [Do traditional scientometric indicators predict social media activity on scientific knowledge? An analysis of the ecological literature](https://doi.org/10.1007/s11192-018-2678-x) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | João Carlos Nabout, Fabrício Barreto Teresa, Karine Borges Machado et al. | 16 | cites it |
| 2022-01-21 | [A new non-archimedean metric on persistent homology](https://doi.org/10.1007/s00180-021-01187-z) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | İsmail Güzel, Atabey Kaygun | 3 | cites it |
| 2024-03-23 | [Variants of non-symmetric correspondence analysis for nominal and ordinal variables](https://doi.org/10.1007/s42952-023-00253-0) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Riya R. Jain, Kirtee K. Kamalja | 2 | cites it |
| 2023-01-22 | [Words matter: how ecologists discuss managed and non-managed bees and birds](https://doi.org/10.1007/s11192-022-04620-2) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Magda P. Argueta-Guzmán, Mari West, Marília Palumbo Gaiarsa et al. | 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). vegan (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-vegan

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