---
title: "quantreg (R package): papers citing this CRAN package"
description: "31 papers in the tracked journals link to quantreg (R package) in their Crossref records, the first in 2016; most of them (5) in 2025."
url: https://scholar4ai.com/code/cran-quantreg
markdown_url: https://scholar4ai.com/code/cran-quantreg.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "31 papers in the tracked journals link to quantreg (R package) in their Crossref records, the first in 2016; most of them (5) in 2025. (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)
---

# quantreg (R package): papers linking to it

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

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

## Key findings

- 31 papers in the tracked journals link to quantreg (R package) in their Crossref records, the first in 2016; most of them (5) in 2025.
- By category: Statistics (11), Economics (9) and Finance (3); the journals with the most are Computational Statistics & Data Analysis (4), Journal of Econometrics (3) and Empirical Economics (3).
- 4 of the papers build on one another: a later paper cites an earlier one that also links quantreg (R package).

## By year

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

| Year | Papers |
|---|---:|
| 2016 | 2 |
| 2017 | 5 |
| 2018 | 1 |
| 2020 | 2 |
| 2021 | 3 |
| 2022 | 5 |
| 2023 | 2 |
| 2024 | 3 |
| 2025 | 5 |
| 2026 | 3 |

## Journals

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

| Journal | Papers |
|---|---:|
| [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | 4 |
| [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | 3 |
| [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 3 |
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 2 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Advanced algorithms for penalized quantile and composite quantile regression](https://doi.org/10.1007/s00180-020-01010-1) (Computational Statistics, 2020)
  - [Residual projection for quantile regression in vertically partitioned big data](https://doi.org/10.1007/s10618-022-00914-4) (Data Mining and Knowledge Discovery, 2023) — cites the paper above
- [Nonparametric tests in linear model with autoregressive errors](https://doi.org/10.1007/s00184-022-00877-y) (Metrika, 2022)
  - [Nonparametric tests for serial independence in linear model against a possible autoregression of error terms](https://doi.org/10.1007/s00362-025-01689-8) (Statistical Papers, 2025) — cites the paper above

## Papers

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

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2016-12-28 | [D-vine copula based quantile regression](https://doi.org/10.1016/j.csda.2016.12.009) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Daniel Kraus, Claudia Czado | 183 | cites it |
| 2020-07-12 | [Advanced algorithms for penalized quantile and composite quantile regression](https://doi.org/10.1007/s00180-020-01010-1) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Matthew Pietrosanu, Jueyu Gao, Linglong Kong et al. | 35 | cites it |
| 2017-03-11 | [Germany's climate policy: Facing an automobile dilemma](https://doi.org/10.1016/j.enpol.2017.03.019) | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | Stefan Gössling, Daniel Metzler | 33 | cites it |
| 2018-05-03 | [Bayesian non-parametric simultaneous quantile regression for complete and grid data](https://doi.org/10.1016/j.csda.2018.04.007) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Priyam Das, Subhashis Ghosal B | 29 | cites it |
| 2017-05-19 | [Efficient estimation of quantiles in missing data models](https://doi.org/10.1016/j.jspi.2017.05.001) | [Journal of Statistical Planning and Inference](https://scholar4ai.com/journals/journal-of-statistical-planning-and-inference.md) | Ivan Matos Diaz | 23 | cites it |
| 2017-07-06 | [Understanding the effect of measurement error on quantile regressions](https://doi.org/10.1016/j.jeconom.2017.06.007) | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | Andrew Chesher | 22 | cites it |
| 2021-04-01 | [Estimating the uncertainty of traffic forecasts from their historical accuracy](https://doi.org/10.1016/j.tra.2021.03.015) | [Transportation Research Part A Policy and Practice](https://scholar4ai.com/journals/transportation-research-part-a-policy-and-practice.md) | Jawad Mahmud Hoque, Gregory D. Erhardt, David Schmitt et al. | 21 | cites it |
| 2021-06-02 | [Quantile Regression Neural Networks: A Bayesian Approach](https://doi.org/10.1007/s42519-021-00189-w) | [Journal of Statistical Theory and Practice](https://scholar4ai.com/journals/journal-of-statistical-theory-and-practice.md) | Sanket R. Jantre, S. Bhattacharya, T. Maiti | 13 | cites it |
| 2016-10-31 | [Fractional order statistic approximation for nonparametric conditional quantile inference](https://doi.org/10.1016/j.jeconom.2016.09.015) | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | Matt Goldman, David M. Kaplan | 11 | cites it |
| 2017-08-21 | [Reviewer interest in a manuscript may predict its future citation potential](https://doi.org/10.1007/s11192-017-2492-x) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Geoffrey S. Shideler, Rafael J. Araújo | 8 | cites it |
| 2022-01-06 | [Bayesian prediction of emergency department wait time](https://doi.org/10.1007/s10729-021-09581-1) | [Health Care Management Science](https://scholar4ai.com/journals/health-care-management-science.md) | Mani Suleiman, Haydar Demirhan, Leanne Boyd et al. | 7 | cites it |
| 2022-08-29 | [Forward variable selection for ultra-high dimensional quantile regression models](https://doi.org/10.1007/s10463-022-00849-z) | [Annals of the Institute of Statistical Mathematics](https://scholar4ai.com/journals/annals-of-the-institute-of-statistical-mathematics.md) | Toshio Honda, Chien-Tong Lin | 5 | cites it |
| 2025-12-08 | [Quantile approach to intertemporal consumption with multiple assets](https://doi.org/10.1016/j.jeconom.2025.106161) | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | Luciano I. de Castro, Antonio F. Galvao, Hirofumi Ota | 4 | cites it |
| 2022-05-21 | [Co-citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API](https://doi.org/10.1007/s11192-022-04393-8) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Janne‐Tuomas Seppänen, Hanna Värri, Irene Ylönen | 3 | cites it |
| 2022-09-15 | [Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression](https://doi.org/10.1007/s00180-022-01279-4) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Víctor Miranda-Soberanis, Thomas W. Yee | 3 | cites it |
| 2024-04-26 | [Income and emotional well-being: Evidence for well-being plateauing around $200,000 per year](https://doi.org/10.1016/j.econlet.2024.111730) | [Economics Letters](https://scholar4ai.com/journals/economics-letters.md) | Mikkel Bennedsen | 3 | cites it |
| 2020-08-26 | [Variable selection with group structure: exiting employment at retirement age—a competing risks quantile regression analysis](https://doi.org/10.1007/s00181-020-01918-z) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Shuolin Shi, Ralf A. Wilke | 2 | cites it |
| 2022-08-03 | [Nonparametric tests in linear model with autoregressive errors](https://doi.org/10.1007/s00184-022-00877-y) | [Metrika](https://scholar4ai.com/journals/metrika.md) | Jana Jurečková, Olçay Arslan, Yeşim Güney et al. | 2 | cites it |
| 2023-01-17 | [Residual projection for quantile regression in vertically partitioned big data](https://doi.org/10.1007/s10618-022-00914-4) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Ye Fan, Jr-Shin Li, Nan Lin | 2 | cites it |
| 2021-03-25 | [Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul](https://doi.org/10.1007/s12076-021-00268-3) | [Letters in Spatial and Resource Sciences](https://scholar4ai.com/journals/letters-in-spatial-and-resource-sciences.md) | Guilherme Schultz Lindenmeyer, Pedro Pablo Skorin, Hudson S. Torrent | 1 | cites it |
| 2024-04-01 | [Home bias and the returns of strategic portfolios: Neither always so good nor so bad](https://doi.org/10.1016/j.jbef.2024.100927) | [Journal of Behavioral and Experimental Finance](https://scholar4ai.com/journals/journal-of-behavioral-and-experimental-finance.md) | Fernando Vega-Gámez, Pablo Jesús Alonso González | 1 | cites it |
| 2024-12-28 | [The Scholarly Impact of Industrial-Organizational Psychologists in Academia: Normative Data and Construct Validity](https://doi.org/10.1007/s10869-024-09996-x) | [Journal of Business and Psychology](https://scholar4ai.com/journals/journal-of-business-and-psychology.md) | Winfred Arthur, Benjamin D. Schulte, Nidhal Mazza | 1 | cites it |
| 2025-01-07 | [Does fertility affect growth? Evidence and simulation results from alternative quantile regression estimators](https://doi.org/10.1007/s00181-024-02707-8) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | André M. Marques | 1 | cites it |
| 2026-02-11 | [The green paradox: Does sustainability drive financial performance in energy?](https://doi.org/10.1007/s11846-026-00991-5) | [Review of Managerial Science](https://scholar4ai.com/journals/review-of-managerial-science.md) | Nawazish Mirza, Alexandra Lavinia Horobeț, Cristiana Doina Tudor et al. | 1 | cites it |
| 2017-05-20 | [Function compositional adjustments of conditional quantile curves](https://doi.org/10.1016/j.csda.2017.04.012) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Anthony Y. C. Kuk | 0 | cites it |
| 2023-01-29 | [Hotelling tubes, confidence bands and conformal inference](https://doi.org/10.1007/s00181-022-02344-z) | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | Roger W. Koenker | 0 | cites it |
| 2025-04-01 | [Nonparametric tests for serial independence in linear model against a possible autoregression of error terms](https://doi.org/10.1007/s00362-025-01689-8) | [Statistical Papers](https://scholar4ai.com/journals/statistical-papers.md) | Jana Jurečková, Olçay Arslan, Yeşim Güney et al. | 0 | cites it |
| 2025-08-13 | [Seeing emerging comprehenders: Refining reading comprehension assessment in international contexts](https://doi.org/10.1016/j.ijedudev.2025.103373) | [International Journal of Educational Development](https://scholar4ai.com/journals/international-journal-of-educational-development.md) | TJ D’Agostino, Cheng Liu, Fernanda Soares et al. | 0 | cites it |
| 2025-09-09 | [Forecasting Growth-at-Risk of the United States: Housing Price versus Housing Sentiment or Attention](https://doi.org/10.1007/s11146-025-10031-w) | [The Journal of Real Estate Finance and Economics](https://scholar4ai.com/journals/the-journal-of-real-estate-finance-and-economics.md) | Oğuzhan Çepni, Rangan Gupta, Christian Pierdzioch | 0 | cites it |
| 2026-01-26 | [Forecasting the volatility of stock returns in the G7 countries over centuries: the role of climate risks](https://doi.org/10.1007/s12197-026-09751-3) | [Journal of Economics and Finance](https://scholar4ai.com/journals/journal-of-economics-and-finance.md) | Elie I. Bouri, Rangan Gupta, Asingamaanda Liphadzi et al. | 0 | cites it |
| 2026-04-17 | [Participant-level quantile surfaces for actigraphy data](https://doi.org/10.1016/j.csda.2026.108387) | [Computational Statistics & Data Analysis](https://scholar4ai.com/journals/computational-statistics-data-analysis.md) | Frederike Vogel, Álvaro Méndez-Civieta, Ying Wei et al. | 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). quantreg (R package): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/cran-quantreg

```bibtex
@misc{scholar4ai-code-cran-quantreg,
  author = {{Scholar4AI}},
  title = {quantreg (R package): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/cran-quantreg}},
  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/).