---
title: "tsDyn (R package): papers citing this CRAN package"
description: "3 papers in the tracked journals link to tsDyn (R package) in their Crossref records, the first in 2017; most of them (2) in 2017."
url: https://scholar4ai.com/code/cran-tsdyn
markdown_url: https://scholar4ai.com/code/cran-tsdyn.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to tsDyn (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)
---

# tsDyn (R package): papers linking to it

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

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

## Key findings

- 3 papers in the tracked journals link to tsDyn (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
- By category: Economics (2) and Finance (1); the journals with the most are Journal of Economics and Finance (1), Maritime Economics & Logistics (1) and Resources Policy (1).

## By year

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

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

## Journals

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

| Journal | Papers |
|---|---:|
| [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | 1 |
| [Maritime Economics & Logistics](https://scholar4ai.com/journals/maritime-economics-logistics.md) | 1 |
| [Resources Policy](https://scholar4ai.com/journals/resources-policy.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-05-04 | [Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model](https://doi.org/10.1016/j.resourpol.2017.04.001) | [Resources Policy](https://scholar4ai.com/journals/resources-policy.md) | Kakali Kanjilal, Sajal Ghosh | 101 | cites it |
| 2020-04-02 | [Forecasting container freight rates for major trade routes: a comparison of artificial neural networks and conventional models](https://doi.org/10.1057/s41278-020-00156-5) | [Maritime Economics & Logistics](https://scholar4ai.com/journals/maritime-economics-logistics.md) | Ziaul Haque Munim, Hans‐Joachim Schramm | 46 | cites it |
| 2017-12-29 | [Relation between Credit Default Swap Spreads and Stock Prices: A Non-linear Perspective](https://doi.org/10.1007/s12197-017-9423-9) | [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | Miroslav Mateev, Elena Marinova | 32 | 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). tsDyn (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tsdyn

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