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 2021-07-01 to 2025-07-01.)

Article	Citations
A link function specification test in the single functional index model	45
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	38
An enhanced version of the SSA-HJ-biplot for time series with complex structure	21
Robust regression for interval-valued data based on midpoints and log-ranges	15
Model-based clustering using a new multivariate skew distribution	15
Application of distance standard deviation in functional data analysis	12
QDA classification of high-dimensional data with rare and weak signals	11
Least-squares bilinear clustering of three-way data	11
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	11
Robust logistic zero-sum regression for microbiome compositional data	11
On mathematical optimization for clustering categories in contingency tables	11
Notes on the H-measure of classifier performance	10
Kurtosis removal for data pre-processing	10
Applications of dual regularized Laplacian matrix for community detection	10
Special issue on “New methodologies in clustering and classification for complex and/or big data”	9
A von Mises–Fisher mixture model for clustering numerical and categorical variables	9
Multidimensional scaling for big data	9
Sparse dimension reduction based on energy and ball statistics	8
Nonparametric regression and classification with functional, categorical, and mixed covariates	8
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	8
Statistical jump model for mixed-type data with missing data imputation	8
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning	7
Robust clustering of functional directional data	7
Model-based clustering and outlier detection with missing data	7
Correction to: Statistical jump model for mixed-type data with missing data imputation	6

Proximal methods for sparse optimal scoring and discriminant analysis	6
Entropy-based fuzzy clustering of interval-valued time series	6
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	6
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6
A topological data analysis based classifier	6
Editorial for ADAC issue 1 of volume 16 (2022)	5
Poisson degree corrected dynamic stochastic block model	5
Robust optimal classification trees under noisy labels	5
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	5
LASSO regularization within the LocalGLMnet architecture	4
Threshold-based Naïve Bayes classifier	4
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	4
Special issue on “Advances in clustering, classification and related methods”	4
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	4
Modal clustering of matrix-variate data	4
Clustering with missing data: which equivalent for Rubin’s rules?	4
Clustering large mixed-type data with ordinal variables	4
Claims fraud detection with uncertain labels	4
Special issue on “advances in models and learning for clustering and classification”	4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	4
Editorial for ADAC issue 3 of volume 16 (2022)	3
Determinantal consensus clustering	3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	3
Correction to: Multivariate cluster weighted models using skewed distributions	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
Initialization strategies for clustering mixed-type data with the k-prototypes algorithm	3
Principal component analysis constrained by layered simple structures	3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	3
Unsupervised learning from attributed networks	3
A two-group canonical variate analysis biplot for an optimal display of both means and cases	3
Editorial for ADAC issue 4 of volume 15 (2021)	2
Benchmarking distance-based partitioning methods for mixed-type data	2
Random models for adjusting fuzzy rand index extensions	2
MLE for the parameters of bivariate interval-valued model	2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	2
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	2
Semiparametric mixture of linear regressions with nonparametric Gaussian scale mixture errors	2
Special issue on “Models and learning for clustering and Classification”	2
An empirical comparison and characterisation of nine popular clustering methods	2
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	2
Editorial for ADAC issue 3 of volume 17 (2023)	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	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
A fresh look at mean-shift based modal clustering	2
Mixed-type kernel-based quantification of similarity for clustering	2
Finite mixture of hidden Markov models for tensor-variate time series data	2

Reducing the dimensionality and granularity in hierarchical categorical variables	2
Scalable Bayesian p-generalized probit and logistic regression	2
A new three-step method for using inverse propensity weighting with latent class analysis	2
Gaussian mixture model with an extended ultrametric covariance structure	2
Nonparametric estimation of directional highest density regions	2
Model based clustering of multinomial count data	2
Robust functional logistic regression	2
Semiparametric finite mixture of regression models with Bayesian P-splines	1
SUBiNN: a stacked uni- and bivariate kNN sparse ensemble	1
Modeling time-dependent population proportions in a finite mixture model setting	1
Sparse constrained and unconstrained non-symmetric correspondence analysis	1
Association measures for interval variables	1
Optimal projections for Gaussian discriminants	1
An analytic strategy for data processing of multimode networks	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
Mining maximal frequent rectangles	1
Kernel biclustering algorithm in Hilbert spaces	1
Directional density-based clustering	1
A dual subspace parsimonious mixture of matrix normal distributions	1
Minimum adjusted Rand index for two clusterings of a given size	1
Editorial for ADAC issue 1 of volume 17 (2023)	1
Mixture modeling with normalizing flows for spherical density estimation	1
Localization processes for functional data analysis	1
Natural-neighborhood based, label-specific undersampling for imbalanced, multi-label data	1
Clustering by deep latent position model with graph convolutional network	1
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model	1
Multivariate cluster weighted models using skewed distributions	1
View selection in multi-view stacking: choosing the meta-learner	1
Correction: Characterisation and calibration of multiversal methods	1
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	1
Parametric models for distributional data	1
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	1
Correction to: Principal component analysis constrained by layered simple structures	1
Functional independent component analysis by choice of norm: a framework for near-perfect classification	1
A new model for counterfactual analysis for functional data	1
A low-rank non-convex norm method for multiview graph clustering	1
Detecting and classifying outliers in big functional data	1