painter-by-numbers: papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to painter-by-numbers (https://www.kaggle.com/competitions/painter-by-numbers), 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.
Key findings#
- 11 papers in the tracked journals link to the Kaggle dataset painter-by-numbers in their Crossref records, the first in 2020; most of them (3) in 2025.
- By category: AI (11); the journals with the most are International Journal of Computer Vision (4), Pattern Recognition (3) and Machine Learning (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links painter-by-numbers.
By year#
20202026
| Year | Papers |
|---|---|
| 2020 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 2 |
| 2025 | 3 |
| 2026 | 2 |
Journals#
| Journal | Papers |
|---|---|
| International Journal of Computer Vision | 4 |
| Pattern Recognition | 3 |
| Machine Learning | 1 |
| Expert Systems with Applications | 1 |
| Knowledge-Based Systems | 1 |
Family tree#
How this is measured#
Cite this page
Scholar4AI. (2026). painter-by-numbers: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-painter-by-numbers
@misc{scholar4ai-code-kaggle-competition-painter-by-numbers,
author = {{Scholar4AI}},
title = {painter-by-numbers: papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-painter-by-numbers}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}