Scholar4AI Updated 2026-10-30 12:46 UTC+09:00

Journal of Multivariate Analysis

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0 papers in the last 7 days · category: Statistics · publisher: Elsevier BV · ISSN 0047-259X

← Papers per journal

Key findings#

  • Journal of Multivariate Analysis published 23 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #40 of 392 journals.
  • Leading institutions: Politecnico di Milano (4), Universidade de Santiago de Compostela (3) and University of Turin (3).
  • Countries: Spain (6), Italy (6) and Czechia (4).
  • From Oct 2023 to Sep 2026, Journal of Multivariate Analysis published 345 papers (10 a month on average, by publication date in OpenAlex).
  • Its most frequent keywords over that period were “high-dimensional data” (38), “asymptotic normality” (29) and “convergence rate” (23).
  • Its most-cited paper of the period is “Quantifying directed dependence via dimension reduction” (2023-11-30), with 18 citations.
  • Since October 2016, its most-cited paper is “Recent advances in functional data analysis and high-dimensional statistics” (2018-12-03), with 164 citations.

The last 36 months#

Oct 23: 4 papersNov 23: 24 papersDec 23: 11 papersJan 24: 3 papersFeb 24: 7 papersMar 24: 7 papersApr 24: 7 papersMay 24: 10 papersJun 24: 7 papersJul 24: 5 papersAug 24: 7 papersSep 24: 7 papersOct 24: 6 papersNov 24: 7 papersDec 24: 8 papersJan 25: 10 papersFeb 25: 9 papersMar 25: 6 papersApr 25: 3 papersMay 25: 5 papersJun 25: 8 papersJul 25: 11 papersAug 25: 10 papersSep 25: 10 papersOct 25: 4 papersNov 25: 54 papersDec 25: 16 papersJan 26: 8 papersFeb 26: 10 papersMar 26: 9 papersApr 26: 10 papersMay 26: 10 papersJun 26: 7 papersJul 26: 9 papersAug 26: 8 papersSep 26: 8 papers
Oct 23Sep 26
Papers by publication date, Oct 2023 to Sep 2026
Oct 23–Sep 24Oct 24–Sep 25Oct 25–Sep 2636 months
9993153345
Most frequent keywords, Oct 2023 to Sep 2026
#KeywordPapers
1high-dimensional data38
2asymptotic normality29
3convergence rate23
4asymptotic properties22
5dimensionality reduction22
6consistency19
7asymptotic distribution18
8copulas17
9feature selection15
10independence testing10
Most-cited papers published Oct 2023 to Sep 2026
#CitationsPer monthTitleJournalPublishedAuthors
1180.5Quantifying directed dependence via dimension reductionJournal of Multivariate Analysis2023-11-30Sebastian Fuchs
2160.5Copula modeling from Abe Sklar to the present dayJournal of Multivariate Analysis2023-11-29Christian Genest, Ostap Okhrin, Taras Bodnar
3140.7Classification using global and local Mahalanobis distancesJournal of Multivariate Analysis2025-01-24Annesha Ghosh, Anil Kumar Ghosh, Rita SahaRay et al.
4140.7A review of multivariate permutation tests: Findings and trendsJournal of Multivariate Analysis2025-02-05Rosa Arboretti, Elena Barzizza, Nicolò Biasetton et al.
5130.5Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlationJournal of Multivariate Analysis2024-08-17Yongli Sang, Xin Dang

Most-cited since October 2016# All journals →

The journal's most-cited papers published since October 2016
#CitationsPer monthTitleJournalPublishedAuthors
11641.7Recent advances in functional data analysis and high-dimensional statisticsJournal of Multivariate Analysis2018-12-03Germán Aneiros, Ricardo Cao, Ricardo Fraiman et al.
21171.6Dimensionality reduction for binary data through the projection of natural parametersJournal of Multivariate Analysis2020-08-19Andrew J. Landgraf, Yoonkyung Lee
3930.9Angle-based joint and individual variation explainedJournal of Multivariate Analysis2018-03-24Qing Feng, Meilei Jiang, Jan Hannig et al.
4821.1Approximating smooth functions by deep neural networks with sigmoid activation functionJournal of Multivariate Analysis2020-11-10Sophie Langer
5810.7Data-driven k NN estimation in nonparametric functional data analysisJournal of Multivariate Analysis2016-10-12Lydia-Zaitri Kara, Ali Laksaci, Mustapha Rachdi et al.
6790.7Permuting longitudinal data in spite of the dependenciesJournal of Multivariate Analysis2016-10-25Sarah Friedrich, Edgar Brunner, Markus Pauly
7760.6The empirical beta copulaJournal of Multivariate Analysis2016-12-01Johan Segers, Masaaki Sibuya, Hideatsu Tsukahara
8750.7MATS: Inference for potentially singular and heteroscedastic MANOVAJournal of Multivariate Analysis2017-12-27Sarah Friedrich, Markus Pauly
9720.7High-dimensional functional time series forecasting: An application to age-specific mortality ratesJournal of Multivariate Analysis2018-10-09Yuan Gao, Han Lin Shang, Yanrong Yang
10720.8Model selection in sparse high-dimensional vine copula models with an application to portfolio riskJournal of Multivariate Analysis2019-03-18Thomas Nagler, Christian Bumann, Claudia Czado
Papers, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-22Testing the goodness-of-fit of a functional autoregressive modelJournal of Multivariate AnalysisWenceslao González–Manteiga, M. D. Ruiz‐Medina, M. Febrero–BandeUniversidade de Santiago de Compostela; Universidad de Granada
2026-10-18Multivariate linear models with measurement errors in both responses and covariatesJournal of Multivariate AnalysisLi‐Pang ChenNational Chengchi University
2026-10-17An explicit expression for the expectation of a product of quadratic forms in multivariate normal random variablesJournal of Multivariate AnalysisRaymond Kan, Jiening PanUniversity of Toronto; Hong Kong University of Science and Technology; Nankai University
2026-10-14Interpretable functional linear regression via local sparsity promoting penaltyJournal of Multivariate AnalysisMarco Stefanucci, Mauro Bernardi, Antonio CanaleUniversity of Rome Tor Vergata; University of Padua; University of Edinburgh
2026-10-14Testing the equality of parameters in fixed and increasing dimensionJournal of Multivariate AnalysisM. Romero-Madroñal, M. Remedios Sillero‐Denamiel, M. D. Jiménez–GameroUniversidad de Sevilla
2026-10-14Increasing domain asymptotics for covariate-based nonparametric Bayesian intensity estimation with Gaussian and Besov–Laplace priorsJournal of Multivariate AnalysisPatric Dolmeta, Matteo GiordanoUniversity of Turin
2026-10-14Projection depth for functional data: Theoretical propertiesJournal of Multivariate AnalysisFilip Bočinec, Stanislav Nagy, Hyemin YeonCharles University; George Mason University
2026-10-14Long range dependence spectral testing from discretely observed functional time series in manifoldsJournal of Multivariate AnalysisM. D. Ruiz‐Medina, Rosa M. CrujeirasUniversidad de Granada; Universidade de Santiago de Compostela
2026-10-12Functional linear expected shortfall regression modelJournal of Multivariate AnalysisWenhui Xuan, Ping Yu, Yafei Wang et al.Shanxi Normal University; University of Alberta
2026-10-12Modeling spatio-temporal smoothness using nonlinear differential operatorsJournal of Multivariate AnalysisAldo Clemente, Alessando Palummo, Eleonora Arnone et al.Politecnico di Milano; University of Turin; University of Cambridge; …
2026-10-11Penalized spline M-estimators for discretely sampled functional data: Existence and asymptoticsJournal of Multivariate AnalysisIoannis KalogridisUniversity of Glasgow
2026-10-10Local inference for functional data on manifold domains using permutation testsJournal of Multivariate AnalysisNiels Lundtorp Olsen, Alessia Pini, Simone VantiniTechnical University of Denmark; Università Cattolica del Sacro Cuore; Politecnico di Milano
2026-10-09Modeling continuous glucose monitoring curves by Beta generalized nonparametric modelsJournal of Multivariate AnalysisNihan Acar‐Denizli, Pedro DelicadoUniversitat Politècnica de Catalunya
2026-10-09Change-point detection procedures for sequentially observed panel dataJournal of Multivariate AnalysisMarie Hušková, Charl PretoriusCharles University; North-West University
2026-10-09Voronoi Depth for functional data over non-convex multidimensional supportsJournal of Multivariate AnalysisMichele Cavazzutti, Alessando Palummo, Eleonora Arnone et al.Politecnico di Milano; University of Turin; King Abdullah University of Science and Technology
2026-10-09A functional linear model of coregionalization for fully non-stationary spatial random fieldsJournal of Multivariate AnalysisGiacomo De Carlo, Riccardo Scimone, Alessandra MenafoglioPolitecnico di Milano
2026-10-09Time reversibility testing for stochastic processesJournal of Multivariate AnalysisDaniel Hlubinka, Hedvika RanošováCharles University
2026-10-09Kernel-based independence and mean independence tests for weakly dependent dataJournal of Multivariate AnalysisDaniel Diz-Castro, Manuel Febrero–Bande, Wenceslao González–ManteigaUniversidade de Santiago de Compostela
2026-10-09ROC curve analysis for functional markersJournal of Multivariate AnalysisAna M. Bianco, Graciela Boente, Juan Carlos Pardo–FernándezConsejo Nacional de Investigaciones Científicas y Técnicas; Universidad de Buenos Aires; Universidade de Vigo
2026-10-09Kernel partial least squares regression for functional nonlinear modelsJournal of Multivariate AnalysisRou Zhong, Dongxue Wang, Jingxiao Zhang et al.Capital Medical University; Beijing Anding Hospital; Renmin University of China
2026-10-08Dimension reduction of multivariate densities in Bayes spacesJournal of Multivariate AnalysisAdéla Czolková, Karel Hron, Sonja GrevenPalacký University Olomouc; Humboldt-Universität zu Berlin
2026-10-08Interpretable additive model for analyzing high-dimensional functional time seriesJournal of Multivariate AnalysisHaixu Wang, Tianyu Guan, Han Lin ShangUniversity of Calgary; York University; Macquarie University
2026-10-07Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal componentsJournal of Multivariate AnalysisHervé Cardot, Caroline PeltierCentre National de la Recherche Scientifique; Institut de Mathématiques de Bourgogne; Université Bourgogne Europe; …
Cite this page

Scholar4AI. (2026). Journal of Multivariate Analysis. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/journal-of-multivariate-analysis

@misc{scholar4ai-journals-journal-of-multivariate-analysis,
  author = {{Scholar4AI}},
  title = {Journal of Multivariate Analysis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/journal-of-multivariate-analysis}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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