Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

camnugent/sandp500: papers linking to it

Kaggle · www.kaggle.com/datasets/camnugent/sandp500

← Code and data repositories cited in research papers

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.

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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#

2019: 1 paper2020: 1 paper2021: 1 paper2025: 1 paper
20192025
Papers linking to camnugent/sandp500 by publication year
YearPapers
20191
20201
20211
20251

Journals#

Papers linking to camnugent/sandp500, most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-03-28High-dimensional changepoint detection via a geometrically inspired mappingStatistics and ComputingThomas Grundy, Rebecca Killick, Gueorgui Mihaylov30cites it
2021-07-08Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimizationJournal of Global OptimizationKen Kobayashi, Yuichi Takano, Kazuhide Nakata17cites it
2019-12-18On the estimation of correlation in a binary sequence modelJournal of Statistical Planning and InferenceHaolei Weng, Yang Feng0cites it
2025-07-05Adaptive variable-length subsequence pattern extraction in time seriesApplied IntelligenceKe Zhang, Jiangyong Duan, Tiantian Yang et al.0cites 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

@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}
}

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