OOIR: Observatory of International Research

Papers

(The TQCC of Technometrics is 4. 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 2021-05-01 to 2025-05-01.)

Article	Citations
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel	108
Statistical Universals of Language: Mathematical Chance vs. Human Choice	43
2022 Ziegel Award Announcement	28
Modern Data Science with R (2nd ed.)	24
Using BART to Perform Pareto Optimization and Quantify its Uncertainties	19
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice	17
Handbook of Measurement Error Models	12
Foundations of Statistics for Data Scientists: With R and Python	12
Statistical GenomicsBrooke Fridley and Xuefeng Wang, New York, NY: Humana, 2023, 377 pp., EUR 169.99, ISBN 978-1-0716-2986-4 (eBook)	11
Online Structural Change-Point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning	11
Mathematical Analysis and Optimization for Economists	11
Time Series Clustering and Classification	11
Advanced Statistical Methods	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	10
High-Dimensional Cost-constrained Regression Via Nonconvex Optimization	9
Mathematical Statistics	9
A Tweedie Compound Poisson Model in Reproducing Kernel Hilbert Space	9
Anomaly Detection in Large-Scale Networks With Latent Space Models	9
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
Deep Latent Factor Model for Spatio-Temporal Forecasting	8
The 2023 Technometrics Prizes	8
A Global-Local Approximation Framework for Large-Scale Gaussian Process Modeling	8
The Temporal Overfitting Problem with Applications in Wind Power Curve Modeling	8
Likelihood Inference for Possibly Nonstationary Processes via Adaptive Overdifferencing	8
Detecting Influential Observations in Single-Index Fréchet Regression	7

Adaptive Sampling for Monitoring Multi-Profile Data with Within-and-between Profile Correlation	7
Bayesian Optimization via Exact Penalty	7
Robust Latent Feature Learning for Incomplete Big Data	7
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data	7
Bayesian Semiparametric Local Clustering of Multiple Time Series Data	7
Constrained Bayesian Optimization with Lower Confidence Bound	7
A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation	7
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning	7
The ESD Control Program Handbook	7
Optimal Planning of Destructive Degradation Tests	6
Probability, Choice, and Reason	6
Applied Regularization Methods for the Social Sciences	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
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks	6
Spatio-Temporal Analysis and Prediction of Mass Telecommunication Base Station Failure Events	6
On Statistical Properties of a Veracity Scoring Method for Spatial Data	6
A Subsampling Method for Regression Problems Based on Minimum Energy Criterion	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
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction	5
Correlation in Engineering and the Applied Sciences: Applications in R	5
Advanced Engineering Mathematics	5
Principles of Biostatistics	5
Probability Modeling and Statistical Inference in Cancer Screening	5
The 2021 Technometrics Prizes	5
A Sharper Computational Tool for Regression	5
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models	5
Statistics Today: Everyday Applications, Research Questions, Insights, and Challenges	5
Manhattan Project: The Story of the Century, by Bruce Cameron Reed. Springer Nature Switzerland AG, 2020,	5
Statistical Modeling of Occupant Behavior Statistical Modeling of Occupant Behavior , JanKloppenborg Møller, Marcel Schweiker, Rune Korsholm Andersen, Burak Gunay, Selin	5
Robust Multivariate Functional Control Chart	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	4
Detecting Changes in Covariance via Random Matrix Theory	4
Kernel-based Sensitivity Analysis for (Excursion) Sets	4
Multi-Output Calibration of a Honeycomb Seal via On-site Surrogates	4
Towards Improved Heliosphere Sky Map Estimation with Theseus	4
Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition	4
Screening Designs for Continuous and Categorical Factors	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
Handbook of Statistical Methods for Randomized Controlled Clinical Trials	4
A New Sparse-Learning Model for Maximum Gap Reduction of Composite Fuselage Assembly	4
Modeling Crash Risk on Roadway Networks Using Bayesian Regression Trees	4
Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers	4
Handbook of Regression Modeling in People Analytics: With Examples in R and Python,	4
Symbolic Regression	4
Block Vecchia Approximation for Scalable and Efficient Gaussian Process Computations	4