OOIR: Observatory of International Research

Papers

(The TQCC of Advances in Data Analysis and Classification is 3. 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 2021-05-01 to 2025-05-01.)

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	36
Robust regression for interval-valued data based on midpoints and log-ranges	19
Model-based clustering using a new multivariate skew distribution	13
Robust logistic zero-sum regression for microbiome compositional data	11
Application of distance standard deviation in functional data analysis	11
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	11
On mathematical optimization for clustering categories in contingency tables	10
Kurtosis removal for data pre-processing	10
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	10
Least-squares bilinear clustering of three-way data	10
Notes on the H-measure of classifier performance	9
QDA classification of high-dimensional data with rare and weak signals	9
Sparse dimension reduction based on energy and ball statistics	8
A von Mises–Fisher mixture model for clustering numerical and categorical variables	8
Subgroup identification in individual participant data meta-analysis using model-based recursive partitioning	8
Sequential classification of customer behavior based on sequence-to-sequence learning with gated-attention neural networks	8
Applications of dual regularized Laplacian matrix for community detection	8
Multidimensional scaling for big data	7
Nonparametric regression and classification with functional, categorical, and mixed covariates	7
Robust clustering of functional directional data	6
Clustering data with non-ignorable missingness using semi-parametric mixture models assuming independence within components	6
Special issue on “New methodologies in clustering and classification for complex and/or big data”	6
Statistical jump model for mixed-type data with missing data imputation	6
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering	6

Model-based clustering and outlier detection with missing data	6
Proximal methods for sparse optimal scoring and discriminant analysis	6
Editorial for ADAC issue 1 of volume 16 (2022)	5
Natural language processing and financial markets: semi-supervised modelling of coronavirus and economic news	5
A topological data analysis based classifier	5
Entropy-based fuzzy clustering of interval-valued time series	5
Robust optimal classification trees under noisy labels	5
On discriminating between lognormal and Pareto tail: an unsupervised mixture-based approach	5
Poisson degree corrected dynamic stochastic block model	5
LASSO regularization within the LocalGLMnet architecture	4
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	4
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	4
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	3
Modal clustering of matrix-variate data	3
Threshold-based Naïve Bayes classifier	3
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	3
Theory of angular depth for classification of directional data	3
Correction to: Multivariate cluster weighted models using skewed distributions	3
Clustering large mixed-type data with ordinal variables	3
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	3
Special issue on “advances in models and learning for clustering and classification”	3
Determinantal consensus clustering	3
A two-group canonical variate analysis biplot for an optimal display of both means and cases	3
Is there a role for statistics in artificial intelligence?	3
Claims fraud detection with uncertain labels	3
Clustering with missing data: which equivalent for Rubin’s rules?	3
Editorial for ADAC issue 3 of volume 16 (2022)	3
Principal component analysis constrained by layered simple structures	3
Clustering and classification of spatio-temporal data using spatial dynamic panel data models	3