nlshrink (R package): papers linking to it

CRAN · CRAN.R-project.org/package=nlshrink

← Code and data repositories cited in research papers

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

5 papers in the tracked journals link to nlshrink (R package) in their Crossref records, the first in 2022; most of them (3) in 2023.
By category: Operations Research (3) and Economics (2); the journals with the most are OR Spectrum (1), Journal of Economic Dynamics and Control (1) and Journal of Quantitative Economics (1).
2 of the papers build on one another: a later paper cites an earlier one that also links nlshrink (R package).

By year#

20222025

Papers linking to nlshrink (R package) by publication year
Year	Papers
2022	1
2023	3
2025	1

Journals#

Journals whose papers link to nlshrink (R package) most
Journal	Papers
OR Spectrum	1
Journal of Economic Dynamics and Control	1
Journal of Quantitative Economics	1
European Journal of Operational Research	1
Annals of Operations Research	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Using stochastic frontier analysis instead of data envelopment analysis in modelling investment performance Annals of Operations Research, 2023
- Data envelopment analysis with shrinkage estimators OR Spectrum, 2025 — cites the paper above

Papers linking to nlshrink (R package), most cited first
Published	Title	Journal	Authors	Citations	Link
2023-07-05	Using stochastic frontier analysis instead of data envelopment analysis in modelling investment performance	Annals of Operations Research	John D. Lamb, Kai‐Hong Tee	18	cites it
2023-11-23	Unifying Portfolio Diversification Measures Using Rao’s Quadratic Entropy	Journal of Quantitative Economics	Benoı̂t Carmichael, Gilles Boevi Koumou, Kevin Moran	9	cites it
2023-06-07	Risk budgeting portfolios from simulations	European Journal of Operational Research	Bernardo Freitas Paulo da Costa, Silvana M. Pesenti, Rodrigo S. Targino	7	cites it
2022-08-10	Copula shrinkage and portfolio allocation in ultra-high dimensions	Journal of Economic Dynamics and Control	Stanislav Anatolyev, Пырлик Владимир Николаевич	6	cites it
2025-07-22	Data envelopment analysis with shrinkage estimators	OR Spectrum	John D. Lamb, Kai‐Hong Tee	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). nlshrink (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-nlshrink

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

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