---
title: "instacart-market-basket-analysis: papers citing it"
description: "3 papers in the tracked journals link to the Kaggle dataset instacart-market-basket-analysis in their Crossref records, the first in 2021; most of them (2) in 2025."
url: https://scholar4ai.com/code/kaggle-competition-instacart-market-basket-analysis
markdown_url: https://scholar4ai.com/code/kaggle-competition-instacart-market-basket-analysis.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 the Kaggle dataset instacart-market-basket-analysis in their Crossref records, the first in 2021; most of them (2) 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)
---

# instacart-market-basket-analysis: papers linking to it

Research papers in the 480 tracked journals that link to instacart-market-basket-analysis (https://www.kaggle.com/competitions/instacart-market-basket-analysis), 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/competitions/instacart-market-basket-analysis

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

## Key findings

- 3 papers in the tracked journals link to the Kaggle dataset instacart-market-basket-analysis in their Crossref records, the first in 2021; most of them (2) in 2025.
- By category: AI (2) and Operations Research (1); the journals with the most are Expert Systems with Applications (1), Neural Computing and Applications (1) and Transportation Research Part E Logistics and Transportation Review (1).

## By year

*Papers linking to instacart-market-basket-analysis by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2025 | 2 |

## Journals

*Journals whose papers link to instacart-market-basket-analysis most*

| Journal | Papers |
|---|---:|
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 1 |
| [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | 1 |

## Papers

*Papers linking to instacart-market-basket-analysis, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2021-05-28 | [Scalable multi-product inventory control with lead time constraints using reinforcement learning](https://doi.org/10.1007/s00521-021-06129-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal et al. | 38 | cites it |
| 2025-06-06 | [Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach](https://doi.org/10.1016/j.eswa.2025.128465) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Maha Zaghloul, Sherif Barakat, Amira Rezk | 29 | cites it |
| 2025-12-20 | [Multi-objective, multi-attribute fleet sizing in a dynamic and stochastic environment: A data-driven approach](https://doi.org/10.1016/j.tre.2025.104585) | [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | Christian Truden, Mike Hewitt | 2 | 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). instacart-market-basket-analysis: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-instacart-market-basket-analysis

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