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 2022-01-01 to 2026-01-01.)

Article	Citations
2022 Ziegel Award Announcement	64
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	28
Handbook of Measurement Error Models	26
Foundations of Statistics for Data Scientists: With R and Python	17
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	17
Advanced Statistical Methods	16
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	16
Statistical Universals of Language: Mathematical Chance vs. Human Choice	16
Modern Data Science with R (2nd ed.)	15
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	14
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	13
Mathematical Analysis and Optimization for Economists	13
Thoughts on Forward-Inverse Maps	13
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	13
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	12
The 2023 Technometrics Prizes	11
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	11
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	9
The 2024 Technometrics Prizes	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
Just Enough Data Science and Machine Learning	8
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
Degradation Data Analysis based on Wiener Process with a Nonlinear Drift and a Stochastic Volatility	8

Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
The ESD Control Program Handbook	7
An Adjacency-Adaptive Gaussian Process Method for Sample Efficient Response Surface Modeling and Test-Point Acquisition	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Bayesian Optimization via Exact Penalty	7
An Adaptive Sampling Strategy for Online Monitoring of Partially Observed Networks	7
Robust Latent Feature Learning for Incomplete Big Data	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
Hybrid Smoothing for Anomaly Detection in Time Series	7
Privacy-Aware Gaussian Process Regression	7
On Statistical Properties of a Veracity Scoring Method for Spatial Data	7
Detecting Influential Observations in Single-Index Fréchet Regression	6
Applied Regularization Methods for the Social Sciences	6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	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
Probability Modeling and Statistical Inference in Cancer Screening	6
The 2021 Technometrics Prizes	6
Optimal Planning of Destructive Degradation Tests	6
Probability, Choice, and Reason	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
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Efficient Active Learning Strategies for Computer Experiments	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Principles of Biostatistics	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Cellwise Outlier Detection in Heterogeneous Populations	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Optimal Experimental Designs for Process Robustness Studies	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Detecting Changes in Covariance via Random Matrix Theory	4
Screening Designs for Continuous and Categorical Factors	4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Symbolic Regression	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
A Sharper Computational Tool for Regression	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	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

PICS: A Sequential Approach to Obtain Optimal Designs for Nonlinear Models Leveraging Closed-Form Solutions for Faster Convergence	3
Technometrics 2023 Associate Editors	3
Sequential Change-Point Detection for Mutually Exciting Point Processes	3
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
Constructing a Simulation Surrogate with Partially Observed Output	3
Information Sharing for Robust and Stable Cross-Validation	3
Chance, Logic and Intuition: An Introduction to the Counter-Intuitive Logic of Chance	3
Transfer Learning with Large-Scale Quantile Regression	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	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
Luck, Logic, and White Lies: The Mathematics of Games; 2nd ed.Jörg Bewersdorff, translated by David Kramer, Boca Raton, FL: A.K. Peters/CRC Press, Taylor & Francis Group, 2021, xx + 548 pp., $ 47.	3
Robust Multivariate Functional Control Chart	3