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 2021-06-01 to 2025-06-01.)

Article	Citations
A link function specification test in the single functional index model	44
An enhanced version of the SSA-HJ-biplot for time series with complex structure	37
Model-based clustering using a new multivariate skew distribution	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	14
Application of distance standard deviation in functional data analysis	12
Robust regression for interval-valued data based on midpoints and log-ranges	12
Kurtosis removal for data pre-processing	11
Least-squares bilinear clustering of three-way data	11
Robust logistic zero-sum regression for microbiome compositional data	11
QDA classification of high-dimensional data with rare and weak signals	10
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	10
Notes on the H-measure of classifier performance	10
On mathematical optimization for clustering categories in contingency tables	10
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning	9
Applications of dual regularized Laplacian matrix for community detection	9
Special issue on “New methodologies in clustering and classification for complex and/or big data”	8
Nonparametric regression and classification with functional, categorical, and mixed covariates	8
A von Mises–Fisher mixture model for clustering numerical and categorical variables	8
Sparse dimension reduction based on energy and ball statistics	7
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	7
Model-based clustering and outlier detection with missing data	7
Statistical jump model for mixed-type data with missing data imputation	7
Robust clustering of functional directional data	6
Proximal methods for sparse optimal scoring and discriminant analysis	6
A topological data analysis based classifier	6

Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	6
Entropy-based fuzzy clustering of interval-valued time series	6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6
Multidimensional scaling for big data	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
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	5
Robust optimal classification trees under noisy labels	5
Poisson degree corrected dynamic stochastic block model	5
Editorial for ADAC issue 1 of volume 16 (2022)	5
LASSO regularization within the LocalGLMnet architecture	4
Clustering large mixed-type data with ordinal variables	4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	4
Special issue on “Advances in clustering, classification and related methods”	4
Clustering with missing data: which equivalent for Rubin’s rules?	4
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	4
Modal clustering of matrix-variate data	4
Claims fraud detection with uncertain labels	4
Special issue on “advances in models and learning for clustering and classification”	3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	3
Principal component analysis constrained by layered simple structures	3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	3
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	3
Is there a role for statistics in artificial intelligence?	3
Theory of angular depth for classification of directional data	3
Comparing flexible modelling approaches: the varying-thresholds model versus quantile regression	3
Unsupervised learning from attributed networks	3
Threshold-based Naïve Bayes classifier	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
Determinantal consensus clustering	3
Reducing the dimensionality and granularity in hierarchical categorical variables	2
Model based clustering of multinomial count data	2
MLE for the parameters of bivariate interval-valued model	2
Robust functional logistic regression	2
Special issue on “Models and learning for clustering and Classification”	2
Correction to: Multivariate cluster weighted models using skewed distributions	2
A fresh look at mean-shift based modal clustering	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
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	2
Nonparametric estimation of directional highest density regions	2
Mixed-type kernel-based quantification of similarity for clustering	2
Benchmarking distance-based partitioning methods for mixed-type data	2
Editorial for ADAC issue 4 of volume 15 (2021)	2
Characterisation and calibration of multiversal methods	2
Random models for adjusting fuzzy rand index extensions	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Scalable Bayesian p-generalized probit and logistic regression	2

Gaussian mixture model with an extended ultrametric covariance structure	2
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	2
Model-based clustering for random hypergraphs	2
An empirical comparison and characterisation of nine popular clustering methods	2
Finite mixture of hidden Markov models for tensor-variate time series data	2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	2
A low-rank non-convex norm method for multiview graph clustering	1
Directional density-based clustering	1
View selection in multi-view stacking: choosing the meta-learner	1
Editorial for ADAC issue 3 of volume 17 (2023)	1
Optimal projections for Gaussian discriminants	1
Multivariate cluster weighted models using skewed distributions	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1
Localization processes for functional data analysis	1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	1
An analytic strategy for data processing of multimode networks	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
A new three-step method for using inverse propensity weighting with latent class analysis	1
Association measures for interval variables	1
Comparison of internal evaluation criteria in hierarchical clustering of categorical data	1
A new model for counterfactual analysis for functional data	1
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	1
Mixture modeling with normalizing flows for spherical density estimation	1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	1
Detecting and classifying outliers in big functional data	1
Semiparametric finite mixture of regression models with Bayesian P-splines	1
Clustering by deep latent position model with graph convolutional network	1
A dual subspace parsimonious mixture of matrix normal distributions	1
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble	1
Correction: Characterisation and calibration of multiversal methods	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
Correction to: Principal component analysis constrained by layered simple structures	1