2026 Peter C. Young: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	74	816	773	55	48	387	19517

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

816

773

387

19517

Engineering and Technology

D-Index

Citations

19517

World Ranking

816

National Ranking

Overview

Peter C. Young is affiliated with Lancaster University in the United Kingdom. Their research spans multiple fields, with a focus on medicine and engineering. Within these fields, they have contributed notably to areas such as control and systems engineering, oncology, cancer research, pathology and forensic medicine, and dermatology.

Their research topics cover a range of subjects, including:

Control Systems and Identification
Advanced Control Systems Design
Fault Detection and Control Systems
Cutaneous Melanoma Detection and Management
Breast Cancer Treatment Studies
HER2/EGFR in Cancer Research
Breast Lesions and Carcinomas

Recent papers authored by or involving Peter C. Young include:

A simple robust method of fractional time-delay estimation for linear dynamic systems (2022, Automatica)
Rare Primary Malignant Melanoma of the Breast Presenting as a Solitary Breast Mass in a 43-Year-Old Male (2023, Cureus)
An Interesting Imaging Presentation of a Common Benign Entity: Fibrocystic Changes in a Postmenopausal Patient (2023, Cureus)
The Role of Leadership in Embedding Risk Management: Lessons from an Irish Public Sector Organisation (2023, International Journal of Public Sector Performance Management)

Frequent co-authors collaborating with Peter C. Young include:

Brittany Q Dang
Brittany Miles
Fengwei Chen
Jing He
Quan Dong Nguyen

Their scholarly work is published mainly in the following venues:

Cureus
Automatica
International Journal of Public Sector Performance Management

Best Publications

Recursive Estimation and Time Series Analysis

Peter C. Young

1121
Citations
Parameter estimation for continuous-time models-A survey

Peter Young

735
Citations
Direct Identification of Continuous-time Models from Sampled Data: Issues, Basic Solutions and Relevance

Hugues Garnier;Liuping Wang;Peter C. Young;Peter C. Young

584
Citations
An instrumental variable method for real-time identification of a noisy process

P.C. Young

549
Citations
Dynamic harmonic regression.

Peter C. Young;Diego J. Pedregal;Wlodek Tych

428
Citations
Uncertainty, Complexity and Concepts of Good Science in Climate Change Modelling: Are GCMs the Best Tools?

Simon Shackley;Peter Young;Stuart Parkinson;Brian Wynne

379
Citations
Data-based mechanistic modelling of environmental, ecological, economic and engineering systems.

Peter C. Young

373
Citations
Recursive Estimation and Time-Series Analysis: An Introduction

Peter Young

370
Citations
Refined instrumental variable methods of recursive time-series analysis Part III. Extensions

Peter Young;Anthony Jakeman

361
Citations
Data-based mechanistic modelling and the rainfall-flow non-linearity.

Peter C. Young;Keith J. Beven

357
Citations
Environmental time series analysis and forecasting with the Captain toolbox

C. James Taylor;Diego J. Pedregal;Peter C. Young;Wlodek Tych

342
Citations
Predicting daily flows in ungauged catchments: model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina

Teemu S. Kokkonen;Anthony J. Jakeman;Peter C. Young;Harri J. Koivusalo

331
Citations
Simplicity out of complexity in environmental modelling: Occam's razor revisited.

Peter C. Young;Stuart Parkinson;Matthew Lees

322
Citations
An approach to the linear multivariable servomechanism problem.

P. C. Young;J. C. Willems

322
Citations
Longitudinal Dispersion in Natural Streams

Tom Beer;Peter C. Young

321
Citations
Advances in real–time flood forecasting

Peter C. Young

312
Citations
The Wide Field Spectrograph (WiFeS): Performance and Data Reduction

Michael Dopita;Jonghwan Rhee;Catherine Farage;Peter McGregor

312
Citations
Top‐down and data‐based mechanistic modelling of rainfall–flow dynamics at the catchment scale

Peter C Young;Peter C Young

258
Citations
State Dependent Parameter metamodelling and sensitivity analysis

Marco Ratto;Andrea Pagano;Peter C Young;Peter C Young

256
Citations
Gemini near-infrared integral field spectrograph (NIFS)

Peter J. McGregor;John Hart;Peter Garth Conroy;Murray Leigh Pfitzner

253
Citations
Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner

Peter C. Young

248
Citations