World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
9432
World Ranking
7179
National Ranking
248

Roberto Teti 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 Roberto Teti 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: 190 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Roberto Teti 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 Roberto Teti 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

Roberto Teti is affiliated with the University of Naples Federico II in Italy and has contributed extensively to the field of engineering, with a focus on mechanical and industrial and manufacturing engineering. Their research spans several subfields including biomedical engineering, electrical and electronic engineering, and automotive engineering.

Their published work addresses numerous topics related to advanced manufacturing and industrial processes. Key topics of research include:

  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced Surface Polishing Techniques
  • Additive Manufacturing Materials and Processes
  • 3D Printing in Biomedical Research
  • Digital Transformation in Industry

Their recent papers include:

  • "Current advances in additive manufacturing" (2020), published in Procedia CIRP
  • "Big data analytics for smart factories of the future" (2020), published in CIRP Annals
  • "Process monitoring of machining" (2022), published in CIRP Annals
  • "Developing sensor signal-based digital twins for intelligent machine tools" (2021), published in Journal of Industrial Information Integration
  • "Smart Multi-Sensor Monitoring in Drilling of CFRP/CFRP Composite Material Stacks for Aerospace Assembly Applications" (2020), published in Applied Sciences

Frequent co-authors collaborating with Roberto Teti include:

  • Alessandra Caggiano
  • Tiziana Segreto
  • Doriana M. D'Addona
  • AMM Sharif Ullah
  • Luigi Nele

Most publications appear in the following venues:

  • Procedia CIRP (14 publications)
  • CIRP journal of manufacturing science and technology (5 publications)
  • CIRP Annals (3 publications)
  • Production Engineering (3 publications)
  • Materials (2 publications)

The main field of study for Roberto Teti is engineering with 81 related publications, supported by a significant focus on mechanical engineering (24 publications) and industrial and manufacturing engineering (16 publications). Their research contributions demonstrate a broad engagement across manufacturing technologies, industrial digitalization, and advanced machining processes.

Best Publications

  • Advanced monitoring of machining operations

    Roberto Teti;Krzysztof Jemielniak;Garret O'Donnell;David Dornfeld

  • Machining of Composite Materials

    R. Teti

  • Tool Condition Monitoring (TCM) — The Status of Research and Industrial Application

    G. Byrne;D. Dornfeld;I. Inasaki;G. Ketteler

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • Machine learning-based image processing for on-line defect recognition in additive manufacturing

    Alessandra Caggiano;Jianjing Zhang;Vittorio Alfieri;Fabrizia Caiazzo

  • Recent advances in engineering design optimisation: Challenges and future trends

    Rajkumar Roy;Srichand Hinduja;Roberto Teti

  • Composite materials parts manufacturing

    Jürgen Fleischer;Roberto Teti;Gisela Lanza;Paul Mativenga

  • Scalability in manufacturing systems design and operation: State-of-the-art and future developments roadmap

    G. Putnik;A. Sluga;H. ElMaraghy;R. Teti

  • Biologicalisation: Biological transformation in manufacturing

    Gerald Byrne;Dimitri Dimitrov;Laszlo Monostori;Roberto Teti

  • Genetic algorithm-based optimization of cutting parameters in turning processes

    Doriana M. D’Addona;Roberto Teti

  • Current advances in additive manufacturing

    Mercedes Pérez;Diego Carou;Eva María Rubio;Roberto Teti

  • Process monitoring of machining

    Unknown

  • Big data analytics for smart factories of the future

    Robert X. Gao;Lihui Wang;Moneer Helu;Roberto Teti

  • Intelligent Computing Methods for Manufacturing Systems

    R. Teti;S.R.T. Kumara

  • A roadmap for automated power line inspection. Maintenance and repair.

    Angelo Pagnano;Michael Höpf;Roberto Teti

  • Impact and post-impact behavior of foam core sandwich structures

    Unknown

  • Developing sensor signal-based digital twins for intelligent machine tools

    Angkush Kumar Ghosh;Amm Sharif Ullah;Roberto Teti;Akihiko Kubo

  • Chip form monitoring through advanced processing of cutting force sensor signals

    R. Teti;I.S. Jawahir;K. Jemielniak;T. Segreto

  • Multiple sensor monitoring in nickel alloy turning for tool wear assessment via sensor fusion

    T. Segreto;A. Simeone;R. Teti

  • Image data processing via neural networks for tool wear prediction

    D.M. D’Addona;R. Teti

  • CBN Grinding Performance Improvement in Aircraft Engine Components Manufacture

    Alessandra Caggiano;Roberto Teti

  • High Performance Cutting of Fibre Reinforced Plastic Composite Materials

    V. Lopresto;A. Caggiano;R. Teti

  • Tool wear modelling through regression analysis and intelligent methods for nickel base alloy machining

    C. Leone;D. D’Addona;R. Teti

Frequent Co-Authors

Paulo Roberto de Aguiar
Paulo Roberto de Aguiar Sao Paulo State University
Piera Centobelli
Piera Centobelli University of Naples Federico II
Konrad Wegener
Konrad Wegener ETH Zurich
David Dornfeld
David Dornfeld University of California, Berkeley
Robert X. Gao
Robert X. Gao Case Western Reserve University
Eduardo Carlos Bianchi
Eduardo Carlos Bianchi Sao Paulo State University
Lihui Wang
Lihui Wang Royal Institute of Technology
László Monostori
László Monostori Budapest University of Technology and Economics
Paul Xirouchakis
Paul Xirouchakis University of Strathclyde
Soundar R. T. Kumara
Soundar R. T. Kumara Pennsylvania State University

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