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 2021-08-01 to 2025-08-01.)

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	47
2022 Ziegel Award Announcement	25
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	21
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	21
Handbook of Measurement Error Models	14
Foundations of Statistics for Data Scientists: With R and Python	14
Advanced Statistical Methods	13
Statistical Universals of Language: Mathematical Chance vs. Human Choice	13
Mathematical Analysis and Optimization for Economists	12
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	12
Anomaly Detection in Large-Scale Networks With Latent Space Models	12
Modern Data Science with R (2nd ed.)	12
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
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	12
Thoughts on Forward-Inverse Maps	11
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	11
The 2023 Technometrics Prizes	10
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
Mathematical Statistics	10
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	9
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	9
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	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
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
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	8
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
Bayesian Optimization via Exact Penalty	7
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	7
The ESD Control Program Handbook	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
Optimal Planning of Destructive Degradation Tests	7
Robust Latent Feature Learning for Incomplete Big Data	7
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	6
Applied Regularization Methods for the Social Sciences	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Detecting Influential Observations in Single-Index Fréchet Regression	6
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	6
Probability, Choice, and Reason	6
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Advanced Engineering Mathematics	5
A Sharper Computational Tool for Regression	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Principles of Biostatistics	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
The 2021 Technometrics Prizes	5
Cellwise Outlier Detection in Heterogeneous Populations	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	5
Probability Modeling and Statistical Inference in Cancer Screening	5
Detecting Changes in Covariance via Random Matrix Theory	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Robust Multivariate Functional Control Chart	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	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
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Symbolic Regression	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3
Distributed Estimation of Principal Support Vector Machines for Sufficient Dimension Reduction	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Technometrics 2023 Associate Editors	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

Screening Designs for Continuous and Categorical Factors	3
Transfer Learning with Large-Scale Quantile Regression	3
Constructing a Simulation Surrogate with Partially Observed Output	3