---
title: "camnugent/sandp500: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset camnugent/sandp500 in their Crossref records, the first in 2019; most of them (1) in 2025."
url: https://scholar4ai.com/code/kaggle-camnugent-sandp500
markdown_url: https://scholar4ai.com/code/kaggle-camnugent-sandp500.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset camnugent/sandp500 in their Crossref records, the first in 2019; most of them (1) in 2025. (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)
---

# camnugent/sandp500: papers linking to it

Research papers in the 480 tracked journals that link to camnugent/sandp500 (https://www.kaggle.com/datasets/camnugent/sandp500), 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.

- Kaggle
- https://www.kaggle.com/datasets/camnugent/sandp500

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset camnugent/sandp500 in their Crossref records, the first in 2019; most of them (1) in 2025.
- By category: Statistics (2), Operations Research (1) and AI (1); the journals with the most are Journal of Global Optimization (1), Journal of Statistical Planning and Inference (1) and Statistics and Computing (1).

## By year

*Papers linking to camnugent/sandp500 by publication year*

| Year | Papers |
|---|---:|
| 2019 | 1 |
| 2020 | 1 |
| 2021 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to camnugent/sandp500 most*

| Journal | Papers |
|---|---:|
| [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | 1 |
| [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | 1 |
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 1 |

## Papers

*Papers linking to camnugent/sandp500, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2020-03-28 | [High-dimensional changepoint detection via a geometrically inspired mapping](https://doi.org/10.1007/s11222-020-09940-y) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Thomas Grundy, Rebecca Killick, Gueorgui Mihaylov | 30 | cites it |
| 2021-07-08 | [Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization](https://doi.org/10.1007/s10898-021-01048-5) | [Journal of Global Optimization](https://scholar4ai.com/journals/journal-of-global-optimization.md) | Ken Kobayashi, Yuichi Takano, Kazuhide Nakata | 17 | cites it |
| 2019-12-18 | [On the estimation of correlation in a binary sequence model](https://doi.org/10.1016/j.jspi.2019.09.016) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Haolei Weng, Yang Feng | 0 | cites it |
| 2025-07-05 | [Adaptive variable-length subsequence pattern extraction in time series](https://doi.org/10.1007/s10489-025-06752-3) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ke Zhang, Jiangyong Duan, Tiantian Yang 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). camnugent/sandp500: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-camnugent-sandp500

```bibtex
@misc{scholar4ai-code-kaggle-camnugent-sandp500,
  author = {{Scholar4AI}},
  title = {camnugent/sandp500: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-camnugent-sandp500}},
  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/).