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Maurizio Bevilacqua

Maurizio Bevilacqua

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
7670
World Ranking
7232
National Ranking
253

Maurizio Bevilacqua 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 Maurizio Bevilacqua 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: 202 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Maurizio Bevilacqua 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 Maurizio Bevilacqua 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Maurizio Bevilacqua is affiliated with Marche Polytechnic University in Italy. The research profile reflects extensive contributions primarily within the fields of Engineering and Business, Management and Accounting.

The main fields of study for Maurizio Bevilacqua's work include:

  • Engineering
  • Business, Management and Accounting

Within these, the following subfields are prominently represented:

  • Industrial and Manufacturing Engineering
  • Strategy and Management
  • Artificial Intelligence
  • Management Science and Operations Research
  • Safety, Risk, Reliability and Quality

The research addresses several key topics, including:

  • Digital Transformation in Industry
  • Supply Chain Resilience and Risk Management
  • Quality and Supply Management
  • Quality and Safety in Healthcare
  • Multi-Criteria Decision Making
  • Cognitive Science and Mapping
  • Assembly Line Balancing Optimization

Frequent publication venues identified for Maurizio Bevilacqua's work are:

  • Sustainability
  • IFAC-PapersOnLine
  • Energies
  • Expert Systems with Applications
  • International Journal of Quality & Reliability Management

Notable recent papers authored or coauthored by Maurizio Bevilacqua include:

  • Digital Twin Reference Model Development to Prevent Operators' Risk in Process Plants, 2020, Sustainability
  • The impact of Operations and IT-related Industry 4.0 key technologies on organizational resilience, 2021, Production Planning & Control
  • The resurrection of digital triplet: A cognitive pillar of human-machine integration at the dawn of industry 5.0, 2023, Journal of King Saud University - Computer and Information Sciences
  • Retrofitting a Process Plant in an Industry 4.0 Perspective for Improving Safety and Maintenance Performance, 2021, Sustainability
  • Data-driven decision support tool for production planning: a framework combining association rules and simulation, 2022, Computers in Industry

Frequent coauthors collaborating with Maurizio Bevilacqua include:

  • Filippo Emanuele Ciarapica
  • Giovanni Mazzuto
  • Sara Antomarioni
  • Giulio Marcucci
  • Marco Ortenzi

Best Publications

  • The analytic hierarchy process applied to maintenance strategy selection

    Maurizio Bevilacqua;Marcello Braglia

  • A FUZZY-QFD APPROACH TO SUPPLIER SELECTION

    Maurizio Bevilacqua;F. E. Ciarapica;G. Giacchetta

  • FMECA approach to product traceability in the food industry

    Massimo Bertolini;Maurizio Bevilacqua;Roberto Massini

  • A combined goal programming—AHP approach to maintenance selection problem

    Massimo Bertolini;Maurizio Bevilacqua

  • Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants

    Maurizio Bevilacqua;Eleonora Bottani;Filippo Emanuele Ciarapica;Francesco Costantino

  • Business process reengineering of a supply chain and a traceability system: A case study

    M. Bevilacqua;F.E. Ciarapica;G. Giacchetta

  • From Traditional Purchasing to Supplier Management: A Fuzzy Logic-based Approach to Supplier Selection

    Maurizio Bevilacqua;Alberto Petroni

  • Development of Risk-Based Inspection and Maintenance procedures for an oil refinery

    M. Bertolini;M. Bevilacqua;F.E. Ciarapica;G. Giacchetta

  • Lean practices implementation and their relationships with operational responsiveness and company performance: an Italian study

    Maurizio Bevilacqua;Filippo Emanuele Ciarapica;Ilaria De Sanctis

  • Development of a sustainable product lifecycle in manufacturing firms: a case study

    Maurizio Bevilacqua;F. E. Ciarapica;G. Giacchetta

  • Monte Carlo simulation approach for a modified FMECA in a power plant

    Maurizio Bevilacqua;Marcello Braglia;Roberto Gabbrielli

  • The impact of Operations and IT-related Industry 4.0 key technologies on organizational resilience

    Giulio Marcucci;Sara Antomarioni;Filippo Emanuele Ciarapica;Maurizio Bevilacqua

  • Critical chain and risk analysis applied to high-risk industry maintenance: A case study

    M. Bevilacqua;F.E. Ciarapica;G. Giacchetta

  • Environmental analysis of a cotton yarn supply chain

    Maurizio Bevilacqua;Filippo Emanuele Ciarapica;Giovanni Mazzuto;Claudia Paciarotti

  • An analytical method for maintenance outsourcing service selection

    Massimo Bertolini;Maurizio Bevilacqua;Marcello Braglia;Marco Frosolini

  • Environmental efficiency analysis for ENI oil refineries

    Maurizio Bevilacqua;Marcello Braglia

  • Business process re‐engineering in healthcare management: a case study

    Massimo Bertolini;Maurizio Bevilacqua;Filippo Emanuele Ciarapica;Giancarlo Giacchetta

  • The classification and regression tree approach to pump failure rate analysis

    Maurizio Bevilacqua;Marcello Braglia;Roberto Montanari

  • An alternative approach to HACCP system implementation

    Massimo Bertolini;Antonio Rizzi;Maurizio Bevilacqua

  • Human factor risk management in the process industry: A case study

    Maurizio Bevilacqua;Filippo Emanuele Ciarapica

Frequent Co-Authors

Michele Germani
Michele Germani Marche Polytechnic University
Eleonora Bottani
Eleonora Bottani University of Parma
Gabriele Comodi
Gabriele Comodi Marche Polytechnic University
Chrysostomos D. Stylios
Chrysostomos D. Stylios University of Ioannina
Alessandro Persona
Alessandro Persona University of Padua
Maurizio Faccio
Maurizio Faccio University of Padua
Daria Battini
Daria Battini University of Padua

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Exploring these online pathways allows students and professionals to build specialized knowledge and pursue diverse careers within the dynamic fields of engineering and technology.

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