World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
9432
World Ranking
7176
National Ranking
248

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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