World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
11835
World Ranking
3370
National Ranking
222

Michael Beer 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 Michael Beer 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: 409 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Michael Beer 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 Michael Beer 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Michael Beer is affiliated with the University of Liverpool in the United Kingdom. Their research primarily spans the fields of engineering and decision sciences, with a notable emphasis on civil and structural engineering, statistics, probability and uncertainty, control and systems engineering, computational theory and mathematics, and safety, risk, reliability, and quality.

The main topics covered in their research include probabilistic and robust engineering design, structural health monitoring techniques, advanced multi-objective optimization algorithms, seismic performance and analysis, wind and air flow studies, reliability and maintenance optimization, and concrete corrosion and durability.

Michael Beer has contributed extensively to several publication venues. Their frequent publication outlets include:

  • Mechanical Systems and Signal Processing
  • Reliability Engineering & System Safety
  • Computer Methods in Applied Mechanics and Engineering
  • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering
  • Probabilistic Engineering Mechanics

Their recent papers reflect a focus on mechanical systems, signal processing, and structural safety:

  • "Digital twin-driven intelligent assessment of gear surface degradation", 2022, Mechanical Systems and Signal Processing
  • "A review of vibration-based gear wear monitoring and prediction techniques", 2022, Mechanical Systems and Signal Processing
  • "Universal source-free domain adaptation method for cross-domain fault diagnosis of machines", 2023, Mechanical Systems and Signal Processing
  • "Engineering analysis with probability boxes: A review on computational methods", 2021, Structural Safety
  • "Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution method", 2023, Structural Safety

The scientist has collaborated frequently with several co-authors, including:

  • Marcos A. Valdebenito
  • Matthias G.R. Faes
  • Matteo Broggi
  • Pengfei Wei
  • Chao Dang

In addition to journal publications, Michael Beer has contributed to academic books. Notably, one publication with Springer International Publishing is titled Uncertainty in Engineering, released in 2021.

Best Publications

  • Fuzzy Randomness: Uncertainty in Civil Engineering and Computational Mechanics

    Bernd Möller;Michael Beer

  • Imprecise probabilities in engineering analyses

    Michael Beer;Scott Ferson;Vladik Y Kreinovich

  • A review of vibration-based gear wear monitoring and prediction techniques

    Unknown

  • Fuzzy structural analysis using α-level optimization

    B. Möller;W. Graf;M. Beer

  • Engineering computation under uncertainty - Capabilities of non-traditional models

    Bernd Möller;Michael Beer

  • Resiliency assessment of urban rail transit networks: Shanghai metro as an example

    Dong-ming Zhang;Fei Du;Hongwei Huang;Fan Zhang

  • Advanced line sampling for efficient robust reliability analysis

    Marco de Angelis;Edoardo Patelli;Michael Beer

  • Safety assessment of structures in view of fuzzy randomness

    Bernd Möller;Wolfgang Graf;Michael Beer

  • Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering context

    Michael Beer;Yi Zhang;Ser Tong Quek;Kok Kwang Phoon

  • Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method

    Hao Zhang;Hongzhe Dai;Michael Beer;Wei Wang

  • Karhunen-Loéve Expansion of Stochastic Processes with a Modified Exponential Covariance Kernel

    Pol D. Spanos;Pol D. Spanos;Pol D. Spanos;Michael Beer;Michael Beer;Michael Beer;John Red-Horse;John Red-Horse;John Red-Horse

  • Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties

    Yong Liu;Fook-Hou Lee;Ser-Tong Quek;Michael Beer

  • Ecology of the Microbial Community Removing Phosphate from Wastewater under Continuously Aerobic Conditions in a Sequencing Batch Reactor

    Johwan Ahn;Sarah Schroeder;Michael Beer;Simon McIlroy

  • Consistent seismic hazard and fragility analysis considering combined capacity-demand uncertainties via probability density evolution method

    Unknown

  • Engineering analysis with probability boxes: A review on computational methods

    Matthias G.R. Faes;Matthias G.R. Faes;Marco Daub;Marco Daub;Stefano Marelli;Edoardo Patelli;Edoardo Patelli

  • Phylogeny of the filamentous bacterium Eikelboom Type 1851, and design and application of a 16S rRNA targeted oligonucleotide probe for its fluorescence in situ identification in activated sludge

    Michael Beer;Elizabeth M Seviour;Yun Kong;Mitchell Cunningham

  • Learning from major accidents to improve system design

    Raphael Moura;Michael Beer;Edoardo Patelli;John Lewis

  • The role of the Bhattacharyya distance in stochastic model updating

    Sifeng Bi;Matteo Broggi;Michael Beer;Michael Beer;Michael Beer

  • Imprecise system reliability and component importance based on survival signature

    Geng Feng;Edoardo Patelli;Michael Beer;Michael Beer;Michael Beer;Frank P.A. Coolen

  • Encyclopedia of earthquake engineering

    Michael Beer;Ioannis A. Kougioumtzoglou;Edoardo Patelli;Siu-Kui Au

  • Functional analysis of microbial communities in aerobic–anaerobic sequencing batch reactors fed with different phosphorus/carbon (P/C) ratios

    Yun H. Kong;Michael Beer;Gavin N. Rees;Robert J. Seviour

  • Designing robust structures - A nonlinear simulation based approach

    Michael Beer;Martin Liebscher

  • Which are the polyphosphate accumulating organisms in full-scale activated sludge enhanced biological phosphate removal systems in Australia?

    M. Beer;Helen Margaret Stratton;P.C. Griffiths;R.J. Seviour

  • Are some putative glycogen accumulating organisms (GAO) in anaerobic : aerobic activated sludge systems members of the α-Proteobacteria?

    Michael Beer;Yun H. Kong;Robert J. Seviour

Frequent Co-Authors

Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Yi Zhang
Yi Zhang Nanyang Technological University
Robert J. Seviour
Robert J. Seviour La Trobe University
Pol D. Spanos
Pol D. Spanos Rice University
Frank P. A. Coolen
Frank P. A. Coolen Durham University
Hao Zhang
Hao Zhang University of Sydney
Kok-Kwang Phoon
Kok-Kwang Phoon Singapore University of Technology and Design
Zhenzhou Lu
Zhenzhou Lu Northwestern Polytechnical University
Bilal M. Ayyub
Bilal M. Ayyub University of Maryland, College Park
Wei Gao
Wei Gao University of New South Wales

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