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 2022-01-01 to 2026-01-01.)

Article	Citations
A link function specification test in the single functional index model	57
Model-based clustering using a new multivariate skew distribution	38
Robust regression for interval-valued data based on midpoints and log-ranges	23
An enhanced version of the SSA-HJ-biplot for time series with complex structure	18
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	16
Application of distance standard deviation in functional data analysis	15
On mathematical optimization for clustering categories in contingency tables	14
QDA classification of high-dimensional data with rare and weak signals	14
Applications of dual regularized Laplacian matrix for community detection	13
Notes on the H-measure of classifier performance	12
Special issue on “New methodologies in clustering and classification for complex and/or big data”	11
Kurtosis removal for data pre-processing	11
Statistical jump model for mixed-type data with missing data imputation	10
Model-based clustering and outlier detection with missing data	9
Multidimensional scaling for big data	9
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	9
Nonparametric regression and classification with functional, categorical, and mixed covariates	9
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	8
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	7
Correction to: Statistical jump model for mixed-type data with missing data imputation	7
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	7
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	7
Proximal methods for sparse optimal scoring and discriminant analysis	7
Editorial for ADAC issue 1 of volume 16 (2022)	6
A topological data analysis based classifier	6

Poisson degree corrected dynamic stochastic block model	6
Entropy-based fuzzy clustering of interval-valued time series	6
LASSO regularization within the LocalGLMnet architecture	5
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	5
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	5
Clustering large mixed-type data with ordinal variables	5
Special issue on “Advances in clustering, classification and related methods”	5
Threshold-based Naïve Bayes classifier	4
Editorial for ADAC issue 3 of volume 16 (2022)	4
Special issue on “advances in models and learning for clustering and classification”	4
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression	4
Determinantal consensus clustering	4
Clustering with missing data: which equivalent for Rubin’s rules?	4
Unsupervised learning from attributed networks	4
Principal component analysis constrained by layered simple structures	4
A two-group canonical variate analysis biplot for an optimal display of both means and cases	4
Modal clustering of matrix-variate data	4
Claims fraud detection with uncertain labels	4
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	4
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	4
Editorial for ADAC issue 4 of volume 19 (2025)	4
Special issue on “Models and learning for clustering and Classification”	3
Benchmarking distance-based partitioning methods for mixed-type data	3
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	3
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	3
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm	3
Finite mixture of hidden Markov models for tensor-variate time series data	3
Theory of angular depth for classification of directional data	3
Random models for adjusting fuzzy rand index extensions	3
Robust functional logistic regression	3
An empirical comparison and characterisation of nine popular clustering methods	3
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	3
Model based clustering of multinomial count data	3
Cellwise robust and sparse principal component analysis	3
Mixed-type kernel-based quantification of similarity for clustering	3
MLE for the parameters of bivariate interval-valued model	2
Gaussian mixture model with an extended ultrametric covariance structure	2
Reducing the dimensionality and granularity in hierarchical categorical variables	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Semiparametric finite mixture of regression models with Bayesian P-splines	2
Scalable Bayesian p-generalized probit and logistic regression	2
A fresh look at mean-shift based modal clustering	2
View selection in multi-view stacking: choosing the meta-learner	2
Editorial for ADAC issue 3 of volume 17 (2023)	2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	2
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies	2
Characterisation and calibration of multiversal methods	2
Data-driven logistic regression ensembles with applications in genomics	2
Kernel biclustering algorithm in Hilbert spaces	2
Structural equation modeling with factors and composites within the framework of the basic design	1

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions	1
Clustering by deep latent position model with graph convolutional network	1
Unobserved classes and extra variables in high-dimensional discriminant analysis	1
A new model for counterfactual analysis for functional data	1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm	1
Sparse constrained and unconstrained non-symmetric correspondence analysis	1
Loss-guided stability selection	1
Co-clustering contaminated data: a robust model-based approach	1
A dual subspace parsimonious mixture of matrix normal distributions	1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data	1
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions	1
Unsupervised curve clustering using wavelets	1
Directional density-based clustering	1
A between-cluster approach for clustering skew-symmetric data	1
A low-rank non-convex norm method for multiview graph clustering	1
Robust and sparse logistic regression	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
Two-stage principal component analysis on interval-valued data using patterned covariance structures	1
Robust gradient boosting for generalized additive models for location, scale and shape	1
Minimum adjusted Rand index for two clusterings of a given size	1
Correction to: Principal component analysis constrained by layered simple structures	1
Correction: Characterisation and calibration of multiversal methods	1
Mixture modeling with normalizing flows for spherical density estimation	1
Modeling time-dependent population proportions in a finite mixture model setting	1
Identification of representative trees in random forests based on a new tree-based distance measure	1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	1
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings	1
An analytic strategy for data processing of multimode networks	1
Factor and hybrid components for model-based clustering	1
Localization processes for functional data analysis	1
Parametric models for distributional data	1
Editorial for ADAC issue 1 of volume 19 (2025)	1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	1
Optimal projections for Gaussian discriminants	1
Model-based clustering of high-dimensional incomplete data via contaminated-normal mixtures	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1