Leaderboards/Scientific Measurement and Uncertainty Evaluation

Scientific Measurement and Uncertainty Evaluation

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Ali Yeganeh
Ferdowsi University of Mashhad
2
Tatjana Ammer
Roche (Switzerland)
3
MohammadSadegh KhajueeZadeh
Iran University of Science and Technology
4
Bo-Fu Xie
Anhui University
5
Etienne Cantin
Centre National de la Recherche Scientifique
6
B. Mondal
Pennsylvania State University
7
Aaron J. Rowane
National Institute of Standards and Technology
8
Wenhao Zhang
Nanjing University of Science and Technology
9
Karolina Planeta
AGH University of Krakow
10
Marvin Schewe
National Institute of Standards and Technology

Rising Stars Papers

1
Monitoring multistage healthcare processes using state space models and a machine learning based framework
Artificial Intelligence in Medicine|2024
32 cit.
2
Regional ionospheric correction generation for GNSS PPP-RTK: theoretical analyses and a new interpolation method
GPS Solutions|2024
21 cit.
3
Shallow vs. Deep Learning Models for Groundwater Level Prediction: A Multi-Piezometer Data Integration Approach
Water Air & Soil Pollution|2024
19 cit.
4
Investigation into the erosion damage mechanism of High-Temperature, High-Pressure, and High-Speed gasflow on metal surfaces
Engineering Failure Analysis|2024
14 cit.
5
Monitoring bivariate autocorrelated process using a deep learning-based control chart: A case study on the car manufacturing industry
Computers & Industrial Engineering|2024
14 cit.
6
Using the attention layer mechanism in construction of a novel ratio control chart: An application to Ethereum price prediction and automated trading strategy
Engineering Applications of Artificial Intelligence|2024
11 cit.
7
Bubble Point Measurements of cis-1,1,1,4,4,4-Hexafluorobutene [R-1336mzz(Z)] + trans-1,2-Dichloroethene [R-1130(E)] mixtures
International Journal of Thermophysics|2024
7 cit.
8
Flyable Mirror: Airborne laser Doppler vibrometer for large engineering structures
Journal of Physics Conference Series|2024
6 cit.
9
REFIMEVE frequency and time network and applications
Journal of Physics Conference Series|2024
4 cit.
10
Autoencoders for monitoring Poisson-dependent process steps based on state space representation
Computers & Industrial Engineering|2025
4 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Klaus N. Quelhas
National Institute of Standards and Technology
2
Marcus H. Mendenhal
National Institute of Standards and Technology
3
Z Zhang
National Institute of Metrology
4
Nicholas Petillon
Institut de la Filtration et des Techniques Séparatives
5
Kim Phuc Tran
Université de Lille
6
Sandile Charles Shongwe
University of the Free State
7
Muhammad Abid
Princess of Wales Hospital
8
En Ming Miao
Hefei University of Technology
9
Xin Dong Zhuang
Hefei University of Technology
10
Matthew D. M. Pawley
University of Exeter

Emerging Leaders Papers

1
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
Computers in Industry|2022
129 cit.
2
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
IEEE Access|2022
102 cit.
3
Explainable Anomaly Detection for Industrial Control System Cybersecurity
IFAC-PapersOnLine|2022
64 cit.
4
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction
Computers in Industry|2023
56 cit.
5
Monitoring non-parametric profiles using adaptive EWMA control chart
Scientific Reports|2022
24 cit.
6
Analyzing abnormal pattern of hotelling <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si7.svg" display="inline" id="d1e2165"><mml:msup><mml:mrow><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> control chart for compositional data using artificial neural networks
Computers & Industrial Engineering|2023
17 cit.
7
Monitoring autocorrelated compositional data vectors using an enhanced residuals Hotelling <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si365.svg" display="inline" id="d1e6705"><mml:msup><mml:mrow><mml:mi>T</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math> control chart
Computers & Industrial Engineering|2023
17 cit.
8
A novel application of statistical process control charts in financial market surveillance with the idea of profile monitoring
PLoS ONE|2023
14 cit.
9
The effects of measurement errors on estimating and assessing the multivariate process capability with imprecise characteristic
Computers & Industrial Engineering|2022
13 cit.
10
Composite and Mixture Distributions for Heavy-Tailed Data—An Application to Insurance Claims
Mathematics|2024
11 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Barry N. Taylor
National Institute of Standards and Technology
2
William H. Woodall
Virginia Tech
3
David B. Newell
National Institute of Standards and Technology
4
Roger Wood
Alberta Health Services
5
G. S. Watson
University of Cambridge
6
Michael S. Saccucci
University of Connecticut
7
William O. Thompson
Board of the Swiss Federal Institutes of Technology
8
Michael B. C. Khoo
Universiti Sains Malaysia
9
Steven E. Rigdon
UCLouvain Saint-Louis Brussels
10
George C. Runger
Arizona State University

Current Senior Leaders Papers

1
Applied Statistics and Probability for Engineers
Technometrics|1995
4k cit.
2
TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II
Biometrika|1951
3.6k cit.
3
<i>An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements</i>
Physics Today|1998
2.8k cit.
4
CODATA recommended values of the fundamental physical constants: 2010
Reviews of Modern Physics|2012
2.5k cit.
5
Harmonized guidelines for single-laboratory validation of methods of analysis (IUPAC Technical Report)
Pure and Applied Chemistry|2002
2.4k cit.
6
Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements
Technometrics|1990
1.4k cit.
7
Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements
Technometrics|1990
1.3k cit.
8
Statistics of Directional Data
Technometrics|1973
1.2k cit.
9
A Multivariate Exponentially Weighted Moving Average Control Chart
Technometrics|1992
1.2k cit.
10
CODATA recommended values of the fundamental physical constants: 2006
Reviews of Modern Physics|2008
949 cit.

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