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Engineering and Technology
Italy
2026

D-Index & Metrics

Engineering and Technology

D-Index
107
Citations
46396
World Ranking
96
National Ranking
1

Enrico Zio 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 Enrico Zio 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: 1,374 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Enrico Zio 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 Enrico Zio 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: 107 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Italy Leader Award
  • 2025 - Research.com Engineering and Technology in Italy Leader Award

Overview

Enrico Zio is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on engineering, with significant contributions across various subfields including Control and Systems Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, and Civil and Structural Engineering.

Their work concentrates on key topics such as Risk and Safety Analysis, Reliability and Maintenance Optimization, Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Infrastructure Resilience and Vulnerability Analysis, Probabilistic and Robust Engineering Design, and Nuclear Engineering Thermal-Hydraulics.

Enrico Zio has contributed to numerous scientific publications, with recent works including:

  • Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice, 2021, Reliability Engineering & System Safety
  • A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer, 2020, Applied Soft Computing
  • Remaining useful life prediction using multi-scale deep convolutional neural network, 2020, Applied Soft Computing
  • Prognostics and health management: A review from the perspectives of design, development and decision, 2021, Reliability Engineering & System Safety
  • Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study, 2024, Reliability Engineering & System Safety

Their frequent coauthors include Francesco Di Maio, Piero Baraldi, Jinjun Zhang, Wanqing Song, and Michele Compare.

Enrico Zio has published extensively in leading venues such as Reliability Engineering & System Safety, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Energies, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, and SSRN Electronic Journal.

Best Publications

  • Artificial intelligence for fault diagnosis of rotating machinery: A review

    Ruonan Liu;Boyuan Yang;Enrico Zio;Enrico Zio;Xuefeng Chen

  • Reliability engineering: Old problems and new challenges

    Enrico Zio

  • Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

    Enrico Zio;Enrico Zio

  • A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

    Aytaç Altan;Seçkin Karasu;Enrico Zio;Enrico Zio;Enrico Zio

  • Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation

    Marzio Marseguerra;Enrico Zio;Luca Podofillini

  • Challenges in the vulnerability and risk analysis of critical infrastructures

    Enrico Zio;Enrico Zio

  • System Reliability and Risk Analysis

    Enrico Zio

  • The Monte Carlo Simulation Method for System Reliability and Risk Analysis

    Enrico Zio

  • Some considerations on the treatment of uncertainties in risk assessment for practical decision making

    Terje Aven;Enrico Zio

  • A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system

    Enrico Zio;Francesco Di Maio

  • Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

    Boyuan Yang;Ruonan Liu;Enrico Zio

  • The future of risk assessment

    Enrico Zio;Enrico Zio

  • Particle filtering prognostic estimation of the remaining useful life of nonlinear components

    Enrico Zio;Giovanni Peloni

  • Remaining useful life prediction using multi-scale deep convolutional neural network

    Han Li;Wei Zhao;Yuxi Zhang;Enrico Zio

  • An Introduction to the Basics of Reliability and Risk Analysis

    Enrico Zio

  • Failure and reliability prediction by support vector machines regression of time series data

    Márcio das Chagas Moura;Enrico Zio;Isis Didier Lins;Enrique López Droguett

  • Multiobjective optimization by genetic algorithms: application to safety systems

    P.Giuggioli Busacca;M. Marseguerra;E. Zio

  • Optimizing Maintenance and Repair Policies via a Combination of Genetic Algorithms and Monte Carlo Simulation

    Marzio Marseguerra;Enrico Zio

  • An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

    Francesco Cadini;F. Santos;Enrico Zio;Enrico Zio

  • Prognostics and health management: A review from the perspectives of design, development and decision

    Yang Hu;Xuewen Miao;Yong Si;Ershun Pan

  • Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’ maintenance optimisation

    J. Barata;C.Guedes Soares;M. Marseguerra;E. Zio

  • Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

    Sheng Hong;Zheng Zhou;Enrico Zio;Kan Hong

Frequent Co-Authors

Piero Baraldi
Piero Baraldi Polytechnic University of Milan
Yan-Fu Li
Yan-Fu Li Tsinghua University
Terje Aven
Terje Aven University of Stavanger
Bruno Sudret
Bruno Sudret ETH Zurich
Ahti Salo
Ahti Salo Aalto University
Antonio Cammi
Antonio Cammi Polytechnic University of Milan
C. Guedes Soares
C. Guedes Soares Instituto Superior Técnico
Xinping Yan
Xinping Yan Wuhan University of Technology
Vasile Palade
Vasile Palade Coventry University

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