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 2021-09-01 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
Robust logistic zero-sum regression for microbiome compositional data	12
Application of distance standard deviation in functional data analysis	12
Least-squares bilinear clustering of three-way data	12
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
QDA classification of high-dimensional data with rare and weak signals	11
Notes on the H-measure of classifier performance	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
Statistical jump model for mixed-type data with missing data imputation	9
Multidimensional scaling for big data	8
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	7
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
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

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
Special issue on “Advances in clustering, classification and related methods”	5
Poisson degree corrected dynamic stochastic block model	5
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
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
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
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
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