---
title: "PerformanceAnalytics (R package): papers citing it"
description: "7 papers in the tracked journals link to PerformanceAnalytics (R package) in their Crossref records, the first in 2017; most of them (2) in 2022."
url: https://scholar4ai.com/code/cran-performanceanalytics
markdown_url: https://scholar4ai.com/code/cran-performanceanalytics.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "7 papers in the tracked journals link to PerformanceAnalytics (R package) in their Crossref records, the first in 2017; most of them (2) in 2022. (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)
---

# PerformanceAnalytics (R package): papers linking to it

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

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

## Key findings

- 7 papers in the tracked journals link to PerformanceAnalytics (R package) in their Crossref records, the first in 2017; most of them (2) in 2022.
- By category: Economics (3), Finance (2) and Operations Research (2); the journals with the most are Computational Economics (2), Financial Innovation (1) and Methodology And Computing In Applied Probability (1).

## By year

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

| Year | Papers |
|---|---:|
| 2017 | 1 |
| 2018 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 2 |
| 2026 | 1 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 2 |
| [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 1 |
| [Methodology And Computing In Applied Probability](https://scholar4ai.com/journals/methodology-and-computing-in-applied-probability.md) | 1 |
| [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | 1 |
| [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 1 |

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-12-05 | [Deep learning with long short-term memory networks for financial market predictions](https://doi.org/10.1016/j.ejor.2017.11.054) | [European Journal of Operational Research](https://scholar4ai.com/journals/european-journal-of-operational-research.md) | Thomas Günter Fischer, Christopher Krauß | 2,828 | cites it |
| 2022-01-12 | [Analysis of the cryptocurrency market using different prototype-based clustering techniques](https://doi.org/10.1186/s40854-021-00310-9) | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | Luis Lorenzo, Javier Arroyo | 40 | cites it |
| 2022-05-13 | [Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?](https://doi.org/10.1016/j.najef.2022.101705) | [The North American Journal of Economics and Finance](https://scholar4ai.com/journals/the-north-american-journal-of-economics-and-finance.md) | Perry Sadorsky | 39 | cites it |
| 2021-01-17 | [Evidence for Novel Structures Relating CSR Reporting and Economic Welfare: Environmental Sustainability—A Continent-Level Analysis](https://doi.org/10.1007/s10614-020-10091-5) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | George Halkos, Stylianos Nomikos, Kyriaki D. Tsilika | 13 | cites it |
| 2018-03-17 | [Risk: An R Package for Financial Risk Measures](https://doi.org/10.1007/s10614-018-9806-9) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Stephen Chan, Saralees Nadarajah | 8 | cites it |
| 2020-08-01 | [Nonparametric portfolio efficiency measurement with higher moments](https://doi.org/10.1007/s00181-020-01917-0) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Jens J. Krüger | 8 | 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). PerformanceAnalytics (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-performanceanalytics

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