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 2021-04-01 to 2025-04-01.)

Article	Citations
Editorial for ADAC issue 4 of volume 17 (2023)	43
Editorial for ADAC issue 2 of volume 17 (2023)	32
Parametric models for distributional data	18
Editorial for ADAC issue 1 of volume 16 (2022)	13
A link function specification test in the single functional index model	12
Editorial for ADAC issue 1 of volume 17 (2023)	11
Contamination transformation matrix mixture modeling for skewed data groups with heavy tails and scatter	11
MLE for the parameters of bivariate interval-valued model	9
Random models for adjusting fuzzy rand index extensions	9
Classification of multivariate count data with multivariate log-linear conditional Poisson distribution	8
A fingerprint of a heterogeneous data set	8
Gaussian mixture model with an extended ultrametric covariance structure	8
Characterisation and calibration of multiversal methods	8
Nonparametric estimation of directional highest density regions	8
A probabilistic method for reconstructing the Foreign Direct Investments network in search of ultimate host economies	8
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets	8
Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database	7
Association measures for interval variables	7
A fresh look at mean-shift based modal clustering	6
Model based clustering of multinomial count data	6
Mixed-effect models with trees	6
Reducing the dimensionality and granularity in hierarchical categorical variables	6
Scalable Bayesian p-generalized probit and logistic regression	6
Are attitudes toward immigration changing in Europe? An analysis based on latent class IRT models	5
Robust optimal classification trees under noisy labels	5

An enhanced version of the SSA-HJ-biplot for time series with complex structure	5
Robust regression for interval-valued data based on midpoints and log-ranges	5
A structured covariance ensemble for sufficient dimension reduction	5
On the efficient implementation of classification rule learning	5
Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution	5
Constrained clustering and multiple kernel learning without pairwise constraint relaxation	5
LASSO regularization within the LocalGLMnet architecture	5
Robust instance-dependent cost-sensitive classification	5
Clustering large mixed-type data with ordinal variables	4
Model-based clustering using a new multivariate skew distribution	4
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	4
Minimum adjusted Rand index for two clusterings of a given size	4
Clusterwise elastic-net regression based on a combined information criterion	3
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images	3
Flexible mixture regression with the generalized hyperbolic distribution	3
Profile-based latent class distance association analyses for sparse tables:application to the attitude of European citizens towards sustainable tourism	3
Robust logistic zero-sum regression for microbiome compositional data	3
Editorial for ADAC issue 4 of volume 16 (2022)	3
New models for symbolic data analysis	3
Factor and hybrid components for model-based clustering	3
The chiPower transformation: a valid alternative to logratio transformations in compositional data analysis	3
Robust and sparse logistic regression	3
A new three-step method for using inverse propensity weighting with latent class analysis	3
Application of distance standard deviation in functional data analysis	3
Estimators of various kappa coefficients based on the unbiased estimator of the expected index of agreements	3
Threshold-based Naïve Bayes classifier	3
Clustering with missing data: which equivalent for Rubin’s rules?	3
Functional clustering of fictional narratives using Vonnegut curves	3
View selection in multi-view stacking: choosing the meta-learner	2
Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions	2
Editorial for ADAC issue 3 of volume 17 (2023)	2
Claims fraud detection with uncertain labels	2
Quantile composite-based path modeling: algorithms, properties and applications	2
Loss-guided stability selection	2
Independence versus indetermination: basis of two canonical clustering criteria	2
Dirichlet compound negative multinomial mixture models and applications	2
Least-squares bilinear clustering of three-way data	2
Mixtures of regressions using matrix-variate heavy-tailed distributions	2
Modal clustering of matrix-variate data	2
Editorial for ADAC issue 3 of volume 15 (2021)	2
Generalized Cramér’s coefficient via f-divergence for contingency tables	2
Editorial for ADAC issue 3 of volume 16 (2022)	2
The role of diversity and ensemble learning in credit card fraud detection	2
A power-controlled reliability assessment for multi-class probabilistic classifiers	2
Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint	2
Polynomial approximate discretization of geometric centers in high-dimensional Euclidean space	1
Strong consistency of the MLE under two-parameter Gamma mixture models with a structural scale parameter	1
Special issue on “advances in models and learning for clustering and classification”	1
Enhancing symbolic regression with side information for data analysis	1
Multidimensional scaling for big data	1

Theory of angular depth for classification of directional data	1
Robust Bayesian inference for the censored mixture of experts model using heavy-tailed distributions	1
Model-based clustering and outlier detection with missing data	1
Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion	1
Semiparametric finite mixture of regression models with Bayesian P-splines	1
A between-cluster approach for clustering skew-symmetric data	1
Composite likelihood methods for parsimonious model-based clustering of mixed-type data	1
Early identification of biliary atresia using subspace and the bootstrap methods	1
Multivariate cluster weighted models using skewed distributions	1
Detecting and classifying outliers in big functional data	1
Is there a role for statistics in artificial intelligence?	1
Addressing class imbalance in functional data clustering	1
Directional density-based clustering	1
Nonparametric regression and classification with functional, categorical, and mixed covariates	1
QDA classification of high-dimensional data with rare and weak signals	1
A low-rank non-convex norm method for multiview graph clustering	1
On mathematical optimization for clustering categories in contingency tables	1
Co-clustering contaminated data: a robust model-based approach	1
A two-step estimator for generalized linear models for longitudinal data with time-varying measurement error	1
Unobserved classes and extra variables in high-dimensional discriminant analysis	1
Kurtosis removal for data pre-processing	1
Identification of representative trees in random forests based on a new tree-based distance measure	1
Liszt’s Étude S.136 no.1: audio data analysis of two different piano recordings	1
Discovering interpretable structure in longitudinal predictors via coefficient trees	1
Robust gradient boosting for generalized additive models for location, scale and shape	1
On some properties of Cronbach’s α coefficient for interval-valued data in questionnaires	1
Kernel biclustering algorithm in Hilbert spaces	1
Notes on the H-measure of classifier performance	1
Applications of dual regularized Laplacian matrix for community detection	1
Unsupervised curve clustering using wavelets	1