Journal of Nonparametric Statistics

Aims & Scope

Journal of Nonparametric Statistics provides a medium for the publication of research and survey work in nonparametric statistics and related areas.

The scope includes, but is not limited to the following topics: Nonparametric modeling, Nonparametric function estimation, Rank and other robust and distribution-free procedures, Resampling methods, Lack-of-fit testing, Multivariate analysis, Inference with high-dimensional data, Dimension reduction and variable selection, Methods for errors in variables, missing, censored, and other incomplete data structures, Inference of stochastic processes, Sample surveys, Time series analysis, Longitudinal and functional data analysis, Nonparametric Bayes methods and decision procedures, Semiparametric models and procedures, Statistical methods for imaging and tomography, Statistical inverse problems, Financial statistics and econometrics, Bioinformatics and comparative genomics, Statistical algorithms and machine learning.

Both the theory and applications of nonparametric statistics are covered in the journal.

Research applying nonparametric methods to medicine, engineering, technology, science and humanities is welcomed, provided the novelty and quality level are of the highest order.

Authors are encouraged to submit supplementary technical arguments, computer code, data analysed in the paper or any additional information for online publication along with the published paper.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.9
2024	0.80

SJR (SCImago Journal Rank)

Year	Value
2024	0.389

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	46

Journal Rank

Year	Value
2024	14079

Journal Citation Indicator

Year	Value
2024	108

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Multiple predicting <i>K</i> -fold cross-validation for model selection

  Citation: 392

  Authors: Yoonsuh

• A<i>K</i>-fold averaging cross-validation procedure

  Citation: 322

  Authors: Yoonsuh, Jianhua

• Plug-in bandwidth matrices for bivariate kernel density estimation

  Citation: 228

  Authors: Tarn, Martin

• Multivariate spatial sign and rank methods

  Citation: 140

  Authors: Jyrki, Hannu

• Tests of linear hypotheses based on regression rank scores

  Citation: 132

  Authors: C., J., R., S.

• Density estimation using inverse and reciprocal inverse Gaussian kernels

  Citation: 129

  Authors: O.

• Asymmetric least squares regression estimation: A nonparametric approach^∗

  Citation: 126

  Authors: Qiwli, Howell

• Nonparametric models for functional data, with application in regression, time series prediction and curve discrimination

  Citation: 124

  Authors: F., P.

• <i>k</i>-Nearest Neighbour method in functional nonparametric regression

  Citation: 122

  Authors: Florent, Frédéric, Philippe

• Convergence rate of b-spline estimators of nonparametric conditional quantile functions^∗

  Citation: 114

  Authors: Xuming, Peide

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