OOIR: Observatory of International Research

Papers

(The TQCC of Technometrics 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 2021-04-01 to 2025-04-01.)

Article	Citations
Handbook of Measurement Error Models	99
Bivariate DeepKriging for Large-Scale Spatial Interpolation of Wind Fields	39
New Frontiers of Biostatistics and Bioinformatics	23
Explanatory Model Analysis: Explore, Explain and Examine Predictive Models,	20
Polynomial Methods and Incidence Theory Polynomial Methods and Incidence Theory , Adam Sheffer, Cambridge University Press, 2022, 263 pp., $64.99, ISBN: 9781108959988	19
(Almost) Impossible Integrals, Sums, and Series (Almost) Impossible Integrals, Sums, and Series , Cornel Ioan Vălean, Cham, Switzerland: Springer Nature Switzerland AG,	16
Federated Multiple Tensor-on-Tensor Regression (FedMTOT) for Multimodal Data Under Data-Sharing Constraints	12
Vedic Mathematics: A Mathematical Tale from the Ancient Veda to Modern Times	11
Probability Modeling and Statistical Inference in Cancer Screening	11
Math and Art: An Introduction to Visual Mathematics, 2nd ed.,	10
A Proportional Intensity Model with Frailty for Missing Recurrent Failure Data	10
The 2021 Technometrics Prizes	9
Modern Data Science with R (2nd ed.)	9
2022 Ziegel Award Announcement	9
R for Political Data Science: A Practical Guide	9
Dynamic Mixture of Experts Models for Online Prediction	8
Foundations of Statistics for Data Scientists: With R and Python	8
Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference, and PredictionKao-Tai Tsai, Boca Raton, FL: CRC Press, Taylor & Francis Group, LLC, 2022, xiii + 260 pp., $	8
Profile Monitoring via Eigenvector Perturbation	8
Statistical Universals of Language: Mathematical Chance vs. Human Choice	8
Foundations of Statistical Mechanics Foundations of Statistical Mechanics Roman Frigg and Charlotte Werndl, UK: Cambridge University Press, 2024, 84 pp., $22.00, ISBN 97	8
PICAR: An Efficient Extendable Approach for Fitting Hierarchical Spatial Models	7
Screening the Discrepancy Function of a Computer Model	7
Discrepancy Measures for Global Sensitivity Analysis	7
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior	7

Sequential Data Integration Under Dataset Shift	6
Strata Design for Variance Reduction in Stochastic Simulation	6
Tolerance Intervals Under a Class of Unbalanced Linear Mixed Models	6
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets	6
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	6
Data-Driven Pathwise Sampling Approaches for Online Anomaly Detection	6
Density Regression with Conditional Support Points	6
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	6
Moving Sum Procedure for Change Point Detection under Piecewise Linearity	6
Gaussian Process-Aided Function Comparison Using Noisy Scattered Data	6
Adaptive Order-of-Addition Experiments via the Quick-Sort Algorithm	6
Adaptive Partially Observed Sequential Change Detection and Isolation	6
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	6
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	5
Clustered Coefficient Regression Models for Poisson Process with an Application to Seasonal Warranty Claim Data	5
Scalable Methods for Multiple Time Series Comparison in Second Order Dynamics	5
Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes	5
Automated Threshold Selection and Associated Inference Uncertainty for Univariate Extremes	5
Sequential Bayesian Experimental Design for Calibration of Expensive Simulation Models	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Practical and Optimal Likelihood Intervals and Regions for Weibull and Gumbel Distributions	5
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field	5
Mathematical Analysis and Optimization for Economists	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Advanced Statistical Methods	5
Models for Multi-State Survival Data Rates, Risks, and Pseudo-Values, 1st ed.	5
Class Maps for Visualizing Classification Results	5
Adventures in Recreational Mathematics, Vol. 2 Adventures in Recreational Mathematics, Vol. 2 , By David Singmaster, Singapore: World Scientific, 2022, 180 pp., $28.00 (	4
Derivative Based Global Sensitivity Analysis and Its Entropic Link	4
Anomaly Detection in Large-Scale Networks With Latent Space Models	4
Behavior Analysis with Machine Learning Using R,	4
Applied Machine Learning Using mlr3 in RApplied Machine Learning Using mlr3 in R, Edited by Bernd Bischl, Raphael Sonabend, Lars Kotthoff, and Michel Lang, Boca Raton, FL: CRC Press, Taylor & Fran	4
Advanced Engineering Mathematics	4
Experimental Design and Modeling for Forward-Inverse Maps	4
Mathematical Modeling: Models, Analysis and Applications, 2nd Edition Mathematical Modeling: Models, Analysis and Applications, 2nd Edition , by Sandip Banerjee, Boka Ra	4
Design and Analysis of Computer Experiments with both Numeral and Distributional Inputs	4
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing	4
Principles of Biostatistics	4
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data	4
Time Series Clustering and Classification	4
Statistical Methods in Health Disparity Research Statistical Methods in Health Disparity Research Edited by J. Sunil Rao, Boca Raton, CRC Press, 2023, 298 pp., £120.00,	4
Accelerated Event Times with Multiple Thresholds	4
Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale	4
Feature Detection and Hypothesis Testing for Extremely Noisy Nanoparticle Images using Topological Data Analysis	3
Distribution-on-Scalar Single-Index Quantile Regression Model for Handling Tumor Heterogeneity	3
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	3
Prediction of Future Failures for Heterogeneous Reliability Field Data	3
The Science of Hockey: The Math, Technology, and Data Behind the Sport The Science of Hockey: The Math, Technology, and Data Behind the Sport Edited by Kevin Snow, Forew	3
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	3
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	3

Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed. Data Science and Machine Learning for Non-Programmers Using SAS Enterprise Miner, 1st ed.	3
Artificial Intelligence with Python Artificial Intelligence with Python , Teik Toe Teoh and Zheng Rong, Springer, 2022, 336 pp., EUR 16.99, ISBN 978-981-16-8615-3.	3
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-1	3
Accounting for Location Measurement Error in Imaging Data With Application to Atomic Resolution Images of Crystalline Materials	3
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	3