demography (R package): papers linking to it
← Code and data repositories cited in research papers
Research papers in the 480 tracked journals that link to demography (R package) (https://CRAN.R-project.org/package=demography), 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 demography (R package) in their Crossref records, the first in 2017; most of them (1) in 2026.
- By category: Statistics (2) and Finance (1); the journals with the most are European Actuarial Journal (1), Computational Statistics & Data Analysis (1) and Statistics and Computing (1).
By year#
20172026
| Year | Papers |
|---|---|
| 2017 | 1 |
| 2022 | 1 |
| 2026 | 1 |
Journals#
| Journal | Papers |
|---|---|
| European Actuarial Journal | 1 |
| Computational Statistics & Data Analysis | 1 |
| Statistics and Computing | 1 |
| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---|---|
| 2022-07-02 | The slowdown in mortality improvement rates 2011–2017: a multi-country analysis | European Actuarial Journal | Viani Biatat Djeundje, Steven Haberman, Madhavi Bajekal et al. | 28 | cites it |
| 2017-03-16 | A quantitative comparison of stochastic mortality models on Italian population data | Computational Statistics & Data Analysis | Maria Francesca Carfora, Luisa Cutillo, Albina Orlando | 20 | cites it |
| 2026-10-16 | Interpretable models for forecasting high-dimensional functional time series | Statistics and Computing | Han Lin Shang, Cristian Felipe Jiménez Varón | 0 | cites it |
How this is measured#
Cite this page
Scholar4AI. (2026). demography (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-demography
@misc{scholar4ai-code-cran-demography,
author = {{Scholar4AI}},
title = {demography (R package): papers linking to it},
year = {2026},
howpublished = {\url{https://scholar4ai.com/code/cran-demography}},
urldate = {2026-11-03},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}