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 2021-09-01 to 2025-09-01.)

Article	Citations
A link function specification test in the single functional index model	43
An enhanced version of the SSA-HJ-biplot for time series with complex structure	21
Model-based clustering using a new multivariate skew distribution	20
Robust regression for interval-valued data based on midpoints and log-ranges	17
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	13
Least-squares bilinear clustering of three-way data	12
Robust logistic zero-sum regression for microbiome compositional data	12
Application of distance standard deviation in functional data analysis	12
QDA classification of high-dimensional data with rare and weak signals	11
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	11
Kurtosis removal for data pre-processing	11
On mathematical optimization for clustering categories in contingency tables	11
Applications of dual regularized Laplacian matrix for community detection	10
Notes on the H-measure of classifier performance	10
Statistical jump model for mixed-type data with missing data imputation	9
Special issue on “New methodologies in clustering and classification for complex and/or big data”	9
Sparse dimension reduction based on energy and ball statistics	8
Nonparametric regression and classification with functional, categorical, and mixed covariates	8
Multidimensional scaling for big data	8
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	7
Model-based clustering and outlier detection with missing data	7
Robust clustering of functional directional data	7
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	7
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6
Proximal methods for sparse optimal scoring and discriminant analysis	6

Entropy-based fuzzy clustering of interval-valued time series	6
Correction to: Statistical jump model for mixed-type data with missing data imputation	6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	6
Editorial for ADAC issue 1 of volume 16 (2022)	5
A topological data analysis based classifier	5
Clustering large mixed-type data with ordinal variables	5
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	5
Special issue on “Advances in clustering, classification and related methods”	5
Poisson degree corrected dynamic stochastic block model	5
Threshold-based Naïve Bayes classifier	4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	4
LASSO regularization within the LocalGLMnet architecture	4
Clustering with missing data: which equivalent for Rubin’s rules?	4
Robust optimal classification trees under noisy labels	4
Claims fraud detection with uncertain labels	4
Special issue on “advances in models and learning for clustering and classification”	3
Unsupervised learning from attributed networks	3
Determinantal consensus clustering	3
Theory of angular depth for classification of directional data	3
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm	3
Principal component analysis constrained by layered simple structures	3
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	3
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression	3
Correction to: Multivariate cluster weighted models using skewed distributions	3
Editorial for ADAC issue 4 of volume 15 (2021)	3
Modal clustering of matrix-variate data	3
Editorial for ADAC issue 3 of volume 16 (2022)	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
An empirical comparison and characterisation of nine popular clustering methods	3
Nonparametric estimation of directional highest density regions	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Editorial for ADAC issue 3 of volume 17 (2023)	2
Gaussian mixture model with an extended ultrametric covariance structure	2
A fresh look at mean-shift based modal clustering	2
Robust functional logistic regression	2
Special issue on “Models and learning for clustering and Classification”	2
MLE for the parameters of bivariate interval-valued model	2
View selection in multi-view stacking: choosing the meta-learner	2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	2
Characterisation and calibration of multiversal methods	2
Model based clustering of multinomial count data	2
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	2
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies	2
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	2
Random models for adjusting fuzzy rand index extensions	2
Scalable Bayesian p-generalized probit and logistic regression	2

Reducing the dimensionality and granularity in hierarchical categorical variables	2
Benchmarking distance-based partitioning methods for mixed-type data	2
Finite mixture of hidden Markov models for tensor-variate time series data	2
Mixed-type kernel-based quantification of similarity for clustering	2
Clustering by deep latent position model with graph convolutional network	1
Localization processes for functional data analysis	1
Loss-guided stability selection	1
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	1
Mixture modeling with normalizing flows for spherical density estimation	1
Optimal projections for Gaussian discriminants	1
Correction: Characterisation and calibration of multiversal methods	1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	1
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions	1
Mining maximal frequent rectangles	1
Kernel biclustering algorithm in Hilbert spaces	1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data	1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	1
Robust and sparse logistic regression	1
Factor and hybrid components for model-based clustering	1
An analytic strategy for data processing of multimode networks	1
Parametric models for distributional data	1
A dual subspace parsimonious mixture of matrix normal distributions	1
A new model for counterfactual analysis for functional data	1
Directional density-based clustering	1
Semiparametric finite mixture of regression models with Bayesian P-splines	1
Modeling time-dependent population proportions in a finite mixture model setting	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1
Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm	1
Minimum adjusted Rand index for two clusterings of a given size	1
Sparse constrained and unconstrained non-symmetric correspondence analysis	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
Correction to: Principal component analysis constrained by layered simple structures	1
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble	1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	1
A low-rank non-convex norm method for multiview graph clustering	1
Multivariate cluster weighted models using skewed distributions	1