---
title: "lpSolve (R package): papers citing this CRAN package"
description: "8 papers in the tracked journals link to lpSolve (R package) in their Crossref records, the first in 2017; most of them (2) in 2017."
url: https://scholar4ai.com/code/cran-lpsolve
markdown_url: https://scholar4ai.com/code/cran-lpsolve.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "8 papers in the tracked journals link to lpSolve (R package) in their Crossref records, the first in 2017; most of them (2) in 2017. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# lpSolve (R package): papers linking to it

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

- CRAN
- https://CRAN.R-project.org/package=lpSolve

All repositories: https://scholar4ai.com/code.md

## Key findings

- 8 papers in the tracked journals link to lpSolve (R package) in their Crossref records, the first in 2017; most of them (2) in 2017.
- By category: Statistics (6), Finance (1) and Management (1); the journals with the most are Statistics and Computing (1), Computational Statistics & Data Analysis (1) and Journal of Statistical Theory and Practice (1).

## By year

*Papers linking to lpSolve (R package) by publication year*

| Year | Papers |
|---|---:|
| 2017 | 2 |
| 2018 | 1 |
| 2019 | 1 |
| 2022 | 1 |
| 2023 | 1 |
| 2025 | 1 |
| 2026 | 1 |

## Journals

*Journals whose papers link to lpSolve (R package) most*

| Journal | Papers |
|---|---:|
| [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | 1 |
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 1 |
| [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | 1 |
| [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | 1 |
| [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | 1 |

## Papers

*Papers linking to lpSolve (R package), most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2017-08-18 | [Fast and reliable computation of generalized synthetic controls](https://doi.org/10.1016/j.ecosta.2017.08.002) | [Econometrics and Statistics](https://scholar4ai.com/journals/econometrics-and-statistics.md) | Martin Becker, Stefan Klößner | 43 | cites it |
| 2022-02-27 | [On the identifiability of Bayesian factor analytic models](https://doi.org/10.1007/s11222-022-10084-4) | [Statistics and Computing](https://scholar4ai.com/journals/statistics-and-computing.md) | Panagiotis Papastamoulis, Ioannis Ntzoufras | 33 | cites it |
| 2018-01-12 | [Optimal exact tests for multiple binary endpoints](https://doi.org/10.1016/j.csda.2018.01.001) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Robin Ristl, Dong Xi, Ekkehard Glimm et al. | 14 | cites it |
| 2017-09-04 | [Hybrid schemes for exact conditional inference in discrete exponential families](https://doi.org/10.1007/s10463-017-0615-z) | [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | David J. Kahle, Ruriko Yoshida, Luis David García Puente | 6 | cites it |
| 2019-06-12 | [Computing expectations and marginal likelihoods for permutations](https://doi.org/10.1007/s00180-019-00901-2) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Ben Powell, Paul A. Smith | 3 | cites it |
| 2023-10-23 | [Are they worth it? – An evaluation of predictions for NBA ‘Fantasy Sports’](https://doi.org/10.1007/s12197-023-09646-7) | [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | Jörg Döpke, Tim Köhler, Lars Tegtmeier | 1 | cites it |
| 2025-10-27 | [Knowledge and vaccination in COVID-19 management efficiency: a Global Malmquist-Luenberger index analysis](https://doi.org/10.1016/j.jik.2025.100867) | [Journal of Innovation & Knowledge](https://scholar4ai.com/journals/journal-of-innovation-knowledge.md) | Martínez Córdoba Pedro José, Lorena Márquez-Arenas, Pablo Povedano‐Fernández et al. | 1 | cites it |
| 2026-02-11 | [Spline Quantile Regression](https://doi.org/10.1007/s42519-026-00545-8) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Ta‐Hsin Li, Nimrod Megiddo | 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). lpSolve (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-lpsolve

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

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).