OOIR: Observatory of International Research

Papers

(The median citation count of Advances in Data Analysis and Classification is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)

Article	Citations
Model-based clustering using a new multivariate skew distribution	76
An enhanced version of the SSA-HJ-biplot for time series with complex structure	25
Robust regression for interval-valued data based on midpoints and log-ranges	20
Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub	20
A link function specification test in the single functional index model	17
Considerations for robust ICA: a discussion of the PICARD framework	15
Application of distance standard deviation in functional data analysis	15
QDA classification of high-dimensional data with rare and weak signals	15
Regularized sparse optimal discriminant clustering	14
Joint quantile regression for multinomial outcomes	14
Applications of dual regularized Laplacian matrix for community detection	14
Special issue on “New methodologies in clustering and classification for complex and/or big data”	13
Nonparametric regression and classification with functional, categorical, and mixed covariates	12
A penalized spline estimator for functional linear regression with functional response	10
Robust mixture modeling using the truncated t distribution: recent advances and new results	9
Statistical jump model for mixed-type data with missing data imputation	9
Multidimensional scaling for big data	8
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	8
An effective differentiable clustering approach for human activity recognition	7
Proximal methods for sparse optimal scoring and discriminant analysis	7
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	7
Correction to: Statistical jump model for mixed-type data with missing data imputation	7
Entropy-based fuzzy clustering of interval-valued time series	6
Approaches to biological species delimitation based on genetic and spatial dissimilarity	6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6

A topological data analysis based classifier	6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	6
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	5
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	5
Editorial for ADAC issue 3 of volume 16 (2022)	5
LASSO regularization within the LocalGLMnet architecture	5
Clustering with missing data: which equivalent for Rubin’s rules?	5
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	5
Special issue on “Advances in clustering, classification and related methods”	5
Clustering large mixed-type data with ordinal variables	5
Threshold-based Naïve Bayes classifier	5
Claims fraud detection with uncertain labels	5
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm	4
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	4
Discussion to the paper “Independent component analysis by robust distance correlation”	4
Unsupervised learning from attributed networks	4
A two-group canonical variate analysis biplot for an optimal display of both means and cases	4
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	4
Theory of angular depth for classification of directional data	4
Mixed-type kernel-based quantification of similarity for clustering	4
New distance-based robust clustering algorithms for large mixed-type data	4
Beyond the orthogonal group: a discussion on robust ICA and sphering transformations	4
Editorial for ADAC issue 4 of volume 19 (2025)	4
Model-based clustering using a new mixture of circular regressions	4
Finite mixture of hidden Markov models for tensor-variate time series data	4
On the ADAC issue 2 of volume 20 (2026)	4
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression	4
Determinantal consensus clustering	4
Special issue on “advances in models and learning for clustering and classification”	4
Reducing the dimensionality and granularity in hierarchical categorical variables	3
Scalable Bayesian p-generalized probit and logistic regression	3
A fresh look at mean-shift based modal clustering	3
Benchmarking distance-based partitioning methods for mixed-type data	3
Cellwise robust and sparse principal component analysis	3
MLE for the parameters of bivariate interval-valued model	3
Flexible tree-structured regression for clustered data with an application to quality of life in older adults	3
Robust functional logistic regression	3
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies	3
Random models for adjusting fuzzy rand index extensions	3
View selection in multi-view stacking: choosing the meta-learner	2
Kernel biclustering algorithm in Hilbert spaces	2
Modeling time-dependent population proportions in a finite mixture model setting	2
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	2
Directional density-based clustering	2
Model based clustering of multinomial count data	2
Editorial for ADAC issue 3 of volume 17 (2023)	2
Clustering by deep latent position model with graph convolutional network	2
Structural equation modeling with factors and composites within the framework of the basic design	2
Comparison of internal evaluation criteria in hierarchical clustering of categorical data	2
Correction: Characterisation and calibration of multiversal methods	2

A low-rank non-convex norm method for multiview graph clustering	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Semiparametric finite mixture of regression models with Bayesian P-splines	2
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions	2
Model-based clustering of functional data via random projection ensembles	2
A dual subspace parsimonious mixture of matrix normal distributions	2
Model-based clustering of high-dimensional incomplete data via contaminated-normal mixtures	2
Characterisation and calibration of multiversal methods	2
Data-driven logistic regression ensembles with applications in genomics	2
Parametric models for distributional data	1
Robust linear experts model with normal mean–variance mixtures	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1
Robust and sparse logistic regression	1
Sparse constrained and unconstrained non-symmetric correspondence analysis	1
Robust gradient boosting for generalized additive models for location, scale and shape	1
A between-cluster approach for clustering skew-symmetric data	1
Co-clustering contaminated data: a robust model-based approach	1
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions	1
Identification of representative trees in random forests based on a new tree-based distance measure	1
Integrating granular data into a multilayer network: an interbank model of the euro area for systemic risk assessment	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
Localization processes for functional data analysis	1
A new model for counterfactual analysis for functional data	1
An analytic strategy for data processing of multimode networks	1
Two-stage principal component analysis on interval-valued data using patterned covariance structures	1
Correction to: Sparse correspondence analysis for large contingency tables	1
Loss-guided stability selection	1
Unsupervised curve clustering using wavelets	1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm	1
Stochasticity in spiking-neural-network based Boolean networks	1
Mixture modeling with normalizing flows for spherical density estimation	1
Modeling and estimating skewed and heavy-tailed populations via unsupervised mixture models	1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	1
Spatial quantile clustering of climate data	1
Editorial for ADAC issue 1 of volume 19 (2025)	1
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings	1
Randomized smart subset selection for high-dimensional generalized linear models with false positive control	1