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 2021-10-01 to 2025-10-01.)

Article	Citations
Model-based clustering using a new multivariate skew distribution	44
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	22
Robust regression for interval-valued data based on midpoints and log-ranges	22
An enhanced version of the SSA-HJ-biplot for time series with complex structure	17
A link function specification test in the single functional index model	14
Kurtosis removal for data pre-processing	13
Application of distance standard deviation in functional data analysis	13
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	13
On mathematical optimization for clustering categories in contingency tables	13
Applications of dual regularized Laplacian matrix for community detection	12
Least-squares bilinear clustering of three-way data	11
QDA classification of high-dimensional data with rare and weak signals	11
Notes on the H-measure of classifier performance	11
Special issue on “New methodologies in clustering and classification for complex and/or big data”	10
Statistical jump model for mixed-type data with missing data imputation	9
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	9
Sparse dimension reduction based on energy and ball statistics	9
Nonparametric regression and classification with functional, categorical, and mixed covariates	8
Model-based clustering and outlier detection with missing data	8
Multidimensional scaling for big data	8
Robust clustering of functional directional data	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	6
Entropy-based fuzzy clustering of interval-valued time series	6

On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6
Poisson degree corrected dynamic stochastic block model	6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	6
A topological data analysis based classifier	6
Special issue on “Advances in clustering, classification and related methods”	5
Robust optimal classification trees under noisy labels	5
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	5
Editorial for ADAC issue 1 of volume 16 (2022)	5
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	4
Threshold-based Naïve Bayes classifier	4
Clustering with missing data: which equivalent for Rubin’s rules?	4
LASSO regularization within the LocalGLMnet architecture	4
Claims fraud detection with uncertain labels	4
Special issue on “advances in models and learning for clustering and classification”	4
Clustering large mixed-type data with ordinal variables	4
Modal clustering of matrix-variate data	4
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	4
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression	3
Determinantal consensus clustering	3
Editorial for ADAC issue 3 of volume 16 (2022)	3
Correction to: Multivariate cluster weighted models using skewed distributions	3
Finite mixture of hidden Markov models for tensor-variate time series data	3
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm	3
Unsupervised learning from attributed networks	3
Principal component analysis constrained by layered simple structures	3
Theory of angular depth for classification of directional data	3
An empirical comparison and characterisation of nine popular clustering methods	3
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	3
A two-group canonical variate analysis biplot for an optimal display of both means and cases	3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	3
Special issue on “Models and learning for clustering and Classification”	3
Robust functional logistic regression	3
View selection in multi-view stacking: choosing the meta-learner	2
Kernel biclustering algorithm in Hilbert spaces	2
Scalable Bayesian p-generalized probit and logistic regression	2
Random models for adjusting fuzzy rand index extensions	2
A fresh look at mean-shift based modal clustering	2
Mixed-type kernel-based quantification of similarity for clustering	2
Gaussian mixture model with an extended ultrametric covariance structure	2
Clustering by deep latent position model with graph convolutional network	2
Directional density-based clustering	2
Structural equation modeling with factors and composites within the framework of the basic design	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Nonparametric estimation of directional highest density regions	2
Characterisation and calibration of multiversal methods	2
Model based clustering of multinomial count data	2
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies	2
Editorial for ADAC issue 3 of volume 17 (2023)	2

A low-rank non-convex norm method for multiview graph clustering	2
Mining maximal frequent rectangles	2
Semiparametric finite mixture of regression models with Bayesian P-splines	2
Multivariate cluster weighted models using skewed distributions	2
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	2
Benchmarking distance-based partitioning methods for mixed-type data	2
Reducing the dimensionality and granularity in hierarchical categorical variables	2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	2
MLE for the parameters of bivariate interval-valued model	2
Robust and sparse logistic regression	1
Minimum adjusted Rand index for two clusterings of a given size	1
Correction to: Principal component analysis constrained by layered simple structures	1
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble	1
Modeling time-dependent population proportions in a finite mixture model setting	1
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	1
Factor and hybrid components for model-based clustering	1
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	1
Parametric models for distributional data	1
Optimal projections for Gaussian discriminants	1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data	1
Correction: Characterisation and calibration of multiversal methods	1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	1
An analytic strategy for data processing of multimode networks	1
Co-clustering contaminated data: a robust model-based approach	1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm	1
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings	1
Sparse constrained and unconstrained non-symmetric correspondence analysis	1
Localization processes for functional data analysis	1
Loss-guided stability selection	1
A dual subspace parsimonious mixture of matrix normal distributions	1
A new model for counterfactual analysis for functional data	1
Mixture modeling with normalizing flows for spherical density estimation	1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	1
Quantile composite-based path modeling: algorithms, properties and applications	1
Two-stage principal component analysis on interval-valued data using patterned covariance structures	1