World's Best Scientists 2026 revealed!
Martin F. Lambert

Martin F. Lambert

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
8926
World Ranking
4325
National Ranking
234

Martin F. Lambert 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 Martin F. Lambert 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: 306 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Martin F. Lambert 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 Martin F. Lambert 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Martin F. Lambert is affiliated with the University of Adelaide in Australia. Their research primarily focuses on engineering, with a significant number of publications in civil and structural engineering, ocean engineering, computational mechanics, mechanical engineering, and materials chemistry. The main topics of their work include water systems and optimization, geophysical methods and applications, geotechnical engineering and underground structures, high voltage insulation and dielectric phenomena, underwater acoustics research, fluid dynamics and turbulent flows, and flow measurement and analysis.

Lambert's recent papers reflect their engagement with applied engineering challenges in water and pipeline systems. Notable publications include:

  • Leak Detection and Topology Identification in Pipelines Using Fluid Transients and Artificial Neural Networks, 2020, Journal of Water Resources Planning and Management
  • Leak-Before-Break Main Failure Prevention for Water Distribution Pipes Using Acoustic Smart Water Technologies: Case Study in Adelaide, 2020, Journal of Water Resources Planning and Management
  • Physics-informed neural networks for hydraulic transient analysis in pipeline systems, 2022, Water Research
  • Extreme wall shear stress events in turbulent pipe flows: spatial characteristics of coherent motions, 2020, Journal of Fluid Mechanics
  • A convolutional neural network for pipe crack and leak detection in smart water network, 2022, Structural Health Monitoring

Lambert has collaborated frequently with several researchers, including Wei Zeng, Jinzhe Gong, Benjamin Cazzolato, Aaron C. Zecchin, and Mark Stephens. These collaborations indicate a strong network in the domains of pipeline and water system engineering.

Their work has been published predominantly in a focused range of venues, demonstrating subject matter consistency. The most frequent publication venues are:

  • Journal of Water Resources Planning and Management
  • Journal of Hydraulic Engineering
  • Journal of Fluid Mechanics
  • SSRN Electronic Journal
  • Water Research

Martin Lambert's contributions encompass research themes such as fluid dynamics, hydraulic transients, leak detection, smart water network technologies, and pipeline structural health monitoring. These topics are linked to broader fields like water infrastructure management and computational modeling of fluid flow and structural behavior.

Best Publications

  • A compound event framework for understanding extreme impacts

    M. Leonard;S. Westra;Aloke Phatak;M. Lambert

  • Leak Detection and Calibration Using Transients and Genetic Algorithms

    John P. Vítkovský;Angus R. Simpson;Martin F. Lambert

  • LEAK DETECTION IN PIPELINES USING THE DAMPING OF FLUID TRANSIENTS

    Xiao-Jian Wang;Martin F. Lambert;Angus R. Simpson;James A. Liggett

  • Frequency Domain Analysis for Detecting Pipeline Leaks

    Pedro J. Lee;John P. Vítkovský;Martin F. Lambert;Angus R. Simpson

  • Drought Analysis Using Trivariate Copulas Conditional on Climatic States

    G. Wong;M. F. Lambert;M. Leonard;A. V. Metcalfe

  • Leak location using the pattern of the frequency response diagram in pipelines: a numerical study

    Pedro J. Lee;John P. Vítkovský;Martin F. Lambert;Angus R. Simpson

  • A strategy for diagnosing and interpreting hydrological model nonstationarity

    Seth Westra;Mark Thyer;Michael Leonard;Dmitri Kavetski

  • Experimental verification of the frequency response method for pipeline leak detection

    Pedro J. Lee;Martin F. Lambert;Angus R. Simpson;John P. Vítkovský

  • Parameters affecting water-hammer wave attenuation, shape and timing—Part 1: Mathematical tools

    Anton Bergant;Arris S. Tijsseling;John P. Vítkovský;Dídia I.C. Covas

  • Experimental Observation and Analysis of Inverse Transients for Pipeline Leak Detection

    John P. Vítkovský;Martin F. Lambert;Angus R. Simpson;James A. Liggett

  • Systematic Evaluation of One-Dimensional Unsteady Friction Models in Simple Pipelines

    John P. Vítkovský;Anton Bergant;Angus R. Simpson;Martin F. Lambert

  • Pipeline Break Detection Using Pressure Transient Monitoring

    Dalius Misiunas;John Vítkovský;Gustaf Olsson;Angus R Simpson

  • Detection and Location of a Partial Blockage in a Pipeline Using Damping of Fluid Transients

    Xiao-Jian Wang;Martin F. Lambert;Angus R. Simpson

  • Discrete Blockage Detection in Pipelines Using the Frequency Response Diagram: Numerical Study

    Pedro J. Lee;John P. Vítkovský;Martin F. Lambert;Angus R. Simpson

  • Bayesian training of artificial neural networks used for water resources modeling

    Greer B. Kingston;Martin F. Lambert;Holger R. Maier

  • ESTIMATING THE DISCHARGE CAPACITY IN STRAIGHT COMPOUND CHANNELS.

    M F Lambert;W R Myers

  • A point rainfall model for risk-based design

    Theresa M Heneker;Martin F Lambert;George Kuczera

  • Parameters affecting water-hammer wave attenuation, shape and timing—Part 2: Case studies

    Anton Bergant;Arris S. Tijsseling;John P. Vítkovský;Dídia I.C. Covas

  • Discharge prediction in straight compound channels using the mixing length concept

    M.F. Lambert;R.H.J. Sellin

  • Optimal Measurement Site Locations for Inverse Transient Analysis in Pipe Networks

    John P. Vitkovsky;James A. Liggett;Angus R. Simpson;Martin F. Lambert

  • Parameters affecting water-hammer wave attenuation, shape and timing—Part 1: Mathematical tools Paramètres affectant l'atténuation, la forme et le retard du coup de bélier—Partie 1: Modèles mathématiques

    Anton Bergant;Arris S. Tijsseling;John P. Vítkovský;Angus R. Simpson

Frequent Co-Authors

Angus R. Simpson
Angus R. Simpson University of Adelaide
Aaron C. Zecchin
Aaron C. Zecchin University of Adelaide
George Kuczera
George Kuczera University of Newcastle Australia
Holger R. Maier
Holger R. Maier University of Adelaide
Seth Westra
Seth Westra University of Adelaide
Gustaf Olsson
Gustaf Olsson Lund University
David Lewis
David Lewis University of Adelaide
Justin D. Brookes
Justin D. Brookes University of Adelaide
Dusan Losic
Dusan Losic University of Adelaide
Craig T. Simmons
Craig T. Simmons University of Newcastle Australia

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