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 2021-09-01 to 2025-09-01.)

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	50
2022 Ziegel Award Announcement	25
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	23
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	21
Advanced Statistical Methods	14
Handbook of Measurement Error Models	14
Statistical Universals of Language: Mathematical Chance vs. Human Choice	14
Foundations of Statistics for Data Scientists: With R and Python	14
Modern Data Science with R (2nd ed.)	13
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	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
Thoughts on Forward-Inverse Maps	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
Mathematical Analysis and Optimization for Economists	11
Mathematical Statistics	11
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	11
The 2023 Technometrics Prizes	10
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	10
Deep Latent Factor Model for Spatio-Temporal Forecasting	10
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	10
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	9
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	8
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	8
Discussion of “Experimental Design and Modeling for Forward-Inverse Maps” by R. Barton & M. Morris, appearing in Technometrics	8

An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	7
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	7
Degradation data analysis based on Wiener process with a nonlinear drift and a stochastic volatility	7
Bayesian Optimization via Exact Penalty	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
The ESD Control Program Handbook	7
Robust Latent Feature Learning for Incomplete Big Data	7
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
Detecting Influential Observations in Single-Index Fréchet Regression	6
Applied Regularization Methods for the Social Sciences	6
Probability, Choice, and Reason	6
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
Optimal Planning of Destructive Degradation Tests	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
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Principles of Biostatistics	5
Advanced Engineering Mathematics	5
The 2021 Technometrics Prizes	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Cellwise Outlier Detection in Heterogeneous Populations	5
A Periodic Fractional Wiener Process for Remaining Useful Life Prediction of Photovoltaic Systems with Long-Range Dependence	5
Probability Modeling and Statistical Inference in Cancer Screening	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
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
Computational and Analytic Methods in Biological Sciences, 1st ed. Computational and Analytic Methods in Biological Sciences, 1st ed. , Edited by Akshara Makrariya, Braj	5
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	4
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
Batch Sequential Experimental Design for Calibration of Stochastic Simulation Models	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
Efficient Active Learning Strategies for Computer Experiments	4
A General Framework for Robust Monitoring of Multivariate Correlated Processes	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4
Screening Designs for Continuous and Categorical Factors	4
Detecting Changes in Covariance via Random Matrix Theory	4
A Sharper Computational Tool for Regression	4
Symbolic Regression	4
Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	3
Text as Data: A New Framework for Machine Learning and the Social Sciences	3
Technometrics 2023 Associate Editors	3
Robust Multivariate Functional Control Chart	3
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	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
Constructing a Simulation Surrogate with Partially Observed Output	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
Transfer Learning with Large-Scale Quantile Regression	3
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments	3