expm (R package): papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to expm (R package) (https://CRAN.R-project.org/package=expm), 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#

4 papers in the tracked journals link to expm (R package) in their Crossref records, the first in 2017; most of them (1) in 2024.
By category: Statistics (3) and Operations Research (1); the journals with the most are Methodology And Computing In Applied Probability (1), Statistics and Computing (1) and Computational Statistics (1).

By year#

20172024

Papers linking to expm (R package) by publication year
Year	Papers
2017	1
2018	1
2022	1
2024	1

Journals#

Journals whose papers link to expm (R package) most
Journal	Papers
Methodology And Computing In Applied Probability	1
Statistics and Computing	1
Computational Statistics	1
Spatial Statistics	1

Papers linking to expm (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2018-07-16	Linear Combination of Independent Exponential Random Variables	Methodology And Computing In Applied Probability	Kim-Hung Li, Cheuk Ting Li	9	cites it
2017-04-27	Is a matrix exponential specification suitable for the modeling of spatial correlation structures?	Spatial Statistics	Magdalena E Strauß, Maura Mezzetti, Samantha Leorato	6	cites it
2022-10-31	Graph-based algorithms for phase-type distributions	Statistics and Computing	Tobias Røikjer, Asger Hobolth, Kasper Munch	6	cites it
2024-04-10	A simple algorithm for computing the probabilities of count models based on pure birth processes	Computational Statistics	Mongkol Hunkrajok, Wanrudee Skulpakdee	0	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). expm (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-expm

@misc{scholar4ai-code-cran-expm,
  author = {{Scholar4AI}},
  title = {expm (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-expm}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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