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 2021-11-01 to 2025-11-01.)

Article	Citations
2022 Ziegel Award Announcement	59
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	26
Handbook of Measurement Error Models	26
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	16
Advanced Statistical Methods	16
Foundations of Statistics for Data Scientists: With R and Python	16
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	16
Statistical Universals of Language: Mathematical Chance vs. Human Choice	15
Modern Data Science with R (2nd ed.)	14
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	13
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	12
Thoughts on Forward-Inverse Maps	12
Mathematical Analysis and Optimization for Economists	12
Anomaly Detection in Large-Scale Networks With Latent Space Models	12
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	12
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	12
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	11
Deep Latent Factor Model for Spatio-Temporal Forecasting	11
A Local Variational Inference Framework for the Orthogonal Gaussian Process Calibration	11
The 2023 Technometrics Prizes	10
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
The 2024 Technometrics Prizes	8
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	8

Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
Hands-On Data Science for Librarians Hands-On Data Science for Librarians Sarah Lin and Dorris Scott, Boca Raton, FL: CRC Press, 2023, 200 pp., $69.95, ISBN: 97810032180	8
Degradation Data Analysis based on Wiener Process with a Nonlinear Drift and a Stochastic Volatility	7
Privacy-aware Gaussian Process Regression	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	7
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	7
Bayesian Optimization via Exact Penalty	7
Robust Latent Feature Learning for Incomplete Big Data	7
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
The ESD Control Program Handbook	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
Detecting Influential Observations in Single-Index Fréchet Regression	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
A Course in the Large Sample Theory of Statistical InferenceA Course in the Large Sample Theory of Statistical Inference, W. J. Hall and D. Oakes, Boca Raton, FL: Chapman and Hall, CRC Press, 2024, x	6
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	6
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	6
Optimal Planning of Destructive Degradation Tests	6
Applied Regularization Methods for the Social Sciences	6
Probability, Choice, and Reason	6
The 2021 Technometrics Prizes	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Probability Modeling and Statistical Inference in Cancer Screening	5
Cellwise Outlier Detection in Heterogeneous Populations	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
Kernel-based Sensitivity Analysis for (Excursion) Sets	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Optimal Experimental Designs for Process Robustness Studies	5
Principles of Biostatistics	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
A Sharper Computational Tool for Regression	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Efficient Active Learning Strategies for Computer Experiments	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Symbolic Regression	4
Detecting Changes in Covariance via Random Matrix Theory	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning Molecular Networking Statistical Mechanics in the Age of AI and Machine Learning , Edite	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	3
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	3
Screening Designs for Continuous and Categorical Factors	3
Constructing a Simulation Surrogate with Partially Observed Output	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors	3
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	3

Towards Improved Heliosphere Sky Map Estimation with Theseus	3
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Technometrics 2023 Associate Editors	3
AI, Machine Learning and Deep Learning a Security PerspectiveEdited by Fei Hu, Xiali Hei, Boca Raton, FL:CRC Press, 2023, 346 pp., 136 B/W Illustrations, GBP 99.99 (Hardback), ISBN 9781032034041, http	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Robust Multivariate Functional Control Chart	3
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	3
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	3
Transfer Learning with Large-Scale Quantile Regression	3
Sequential Change-Point Detection for Mutually Exciting Point Processes	3
Information Sharing for Robust and Stable Cross-Validation	3