World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
19517
World Ranking
817
National Ranking
55

Peter C. Young publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Peter C. Young sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 387 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Peter C. Young D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Peter C. Young sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 74 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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

  • Parameter estimation for continuous-time models-A survey

    Peter Young

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

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

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

    P.C. Young

  • Dynamic harmonic regression.

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

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

    Simon Shackley;Peter Young;Stuart Parkinson;Brian Wynne

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

    Peter C. Young

  • Recursive Estimation and Time-Series Analysis: An Introduction

    Peter Young

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

    Peter Young;Anthony Jakeman

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

    Peter C. Young;Keith J. Beven

  • Environmental time series analysis and forecasting with the Captain toolbox

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

  • 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

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

    Peter C. Young;Stuart Parkinson;Matthew Lees

  • An approach to the linear multivariable servomechanism problem.

    P. C. Young;J. C. Willems

  • Longitudinal Dispersion in Natural Streams

    Tom Beer;Peter C. Young

  • Advances in real–time flood forecasting

    Peter C. Young

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

    Michael Dopita;Jonghwan Rhee;Catherine Farage;Peter McGregor

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

    Peter C Young;Peter C Young

  • State Dependent Parameter metamodelling and sensitivity analysis

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

  • Gemini near-infrared integral field spectrograph (NIFS)

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

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

    Peter C. Young

Frequent Co-Authors

Keith Beven
Keith Beven Lancaster University
Hugues Garnier
Hugues Garnier University of Lorraine
Anthony J. Jakeman
Anthony J. Jakeman Australian National University
Liuping Wang
Liuping Wang RMIT University
Andy Jarvis
Andy Jarvis Bezos Earth Fund
Andrea Castelletti
Andrea Castelletti Polytechnic University of Milan
John Hart
John Hart University of Illinois at Urbana-Champaign
Florian Pappenberger
Florian Pappenberger European Centre for Medium-Range Weather Forecasts
Josef Kittler
Josef Kittler University of Surrey
Rob Sharp
Rob Sharp Australian National University

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