TDA (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to TDA (R package) (https://CRAN.R-project.org/package=TDA), 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#
- 3 papers in the tracked journals link to TDA (R package) in their Crossref records, the first in 2019; most of them (1) in 2025.
- By category: Statistics (2) and Operations Research (1); the journals with the most are Transportation Research Part E Logistics and Transportation Review (1), Statistics and Computing (1) and Journal of Statistical Theory and Practice (1).
By year#
20192025
| Year | Papers |
|---|---|
| 2019 | 1 |
| 2022 | 1 |
| 2025 | 1 |
Journals#
| Journal | Papers |
|---|---|
| Transportation Research Part E Logistics and Transportation Review | 1 |
| Statistics and Computing | 1 |
| Journal of Statistical Theory and Practice | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2019-06-13 | Topological data analysis for aviation applications | Transportation Research Part E Logistics and Transportation Review | Max Z. Li, Megan S. Ryerson, Hamsa Balakrishnan | 35 | cites it |
| 2022-06-01 | Particle gradient descent model for point process generation | Statistics and Computing | Antoine Brochard, Bartłomiej Błaszczyszyn, Sixin Zhang et al. | 2 | cites it |
| 2025-07-11 | Novel Statistical and Topological Data Analyses of 2D Electronic Images | Journal of Statistical Theory and Practice | Robert L. Paige, Vic Patrangenaru | 1 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). TDA (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-tda
@misc{scholar4ai-code-cran-tda,
author = {{Scholar4AI}},
title = {TDA (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-tda}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}