World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
37
Citations
7987
World Ranking
5045
National Ranking
198

Francesco Amato publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Francesco Amato sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 249 publications — 44th percentile

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

The last bar groups every scientist with 1,065 publications or more.

Francesco Amato D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Francesco Amato sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 37 D-Index — 27th percentile

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

The last bar groups every scientist with 111 D-Index or more.

Overview

Francesco Amato is affiliated with the University of Naples Federico II in Italy. Their research is primarily situated at the intersection of medicine and engineering, with a significant focus on biomedical engineering and related subfields. They have contributed extensively to areas including cardiology and cardiovascular medicine, control and systems engineering, molecular biology, and neurology.

The scientist's work covers a range of topics, particularly in clinical and biomedical contexts. Key topics explored include dental materials and restorations, Parkinson's disease mechanisms and treatments, musculoskeletal pain and rehabilitation, muscle activation and electromyography studies, dental implant techniques and outcomes, balance, gait, and falls prevention, and gene regulatory network analysis.

Francesco Amato has published in several notable venues multiple times. Frequent publication platforms include Sensors and Bioengineering, each hosting seven of their works. Other common venues are the 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), Diagnostics, and Scientific Reports, where they have at least four publications each.

Among recent papers, titles and publication details are as follows:

  • "A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals" (2021, Sensors)
  • "A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs" (2022, Mathematics)
  • "Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review" (2023, Computer Methods and Programs in Biomedicine)
  • "Diagnostic Applications of Intraoral Scanners: A Systematic Review" (2023, Journal of Imaging)
  • "Predictive Analysis of Hospital Stay after Caesarean Section: A Single-Center Study" (2023, Bioengineering)

Their research collaborations reflect ongoing partnerships with several frequent coauthors. These include Alfonso Maria Ponsiglione, Maria Romano, Carlo Cosentino, Carlo Ricciardi, and Alessio Merola, indicating a networked approach to multidisciplinary research.

Best Publications

  • Technical Communique: Finite-time control of linear systems subject to parametric uncertainties and disturbances

    Francesco Amato;Marco Ariola;Peter Dorato

  • Technical communique: Finite-time stabilization via dynamic output feedback

    Francesco Amato;Marco Ariola;Carlo Cosentino

  • Finite-time control of discrete-time linear systems

    F. Amato;M. Ariola

  • Advantages and limits of robot-assisted laparoscopic surgery: preliminary experience.

    F. Corcione;C. Esposito;D. Cuccurullo;A. Settembre

  • Technical communique: Finite-time stability of linear time-varying systems with jumps

    Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino

  • Finite-Time Stability of Linear Time-Varying Systems: Analysis and Controller Design

    F. Amato;M. Ariola;C. Cosentino

  • Brief paper: Finite-time control of discrete-time linear systems: Analysis and design conditions

    Francesco Amato;Marco Ariola;Carlo Cosentino

  • Finite-Time Stability and Control

    Francesco Amato;Roberto Ambrosino;Marco Ariola;Carlo Cosentino

  • Robust Control of Linear Systems Subject to Uncertain Time-Varying Parameters

    Francesco Amato

  • Technical communique: Input-output finite time stabilization of linear systems

    F. Amato;R. Ambrosino;C. Cosentino;G. De Tommasi

  • Technical communique: Necessary and sufficient conditions for finite-time stability of impulsive dynamical linear systems

    F. Amato;G. De Tommasi;A. Pironti

  • Technical communique: On the region of attraction of nonlinear quadratic systems

    F. Amato;C. Cosentino;A. Merola

  • Sufficient Conditions for Finite-Time Stability and Stabilization of Nonlinear Quadratic Systems

    F. Amato;C. Cosentino;A. Merola

  • Input–Output Finite-Time Stability of Linear Systems: Necessary and Sufficient Conditions

    F. Amato;G. Carannante;G. De Tommasi;A. Pironti

  • Stabilization of Bilinear Systems Via Linear State-Feedback Control

    F. Amato;C. Cosentino;A.S. Fiorillo;A. Merola

  • Necessary and sufficient conditions for finite-time stability of linear systems

    F. Amato;M. Ariola;C. Cosentino;C.T. Abdallah

  • Cortical-like mini-columns of neuronal cells on zinc oxide nanowire surfaces.

    V. Onesto;M. Villani;R. Narducci;N Malara

  • Finite-time stabilization of impulsive dynamical linear systems

    F. Amato;R. Ambrosino;C. Cosentino;G. De Tommasi

  • New sufficient conditions for the stability of slowly varying linear systems

    F. Amato;G. Celentano;F. Garofalo

  • Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

    Maria Francesca Spadea;Giampaolo Pileggi;Paolo Zaffino;Patrick Salome

  • An approach to control automated warehouse systems

    Francesco Amato;Francesco Basile;Ciro Carbone;Pasquale Chiacchio

Frequent Co-Authors

Marco Ariola
Marco Ariola Parthenope University of Naples
Massimiliano Mattei
Massimiliano Mattei University of Naples Federico II
Francesco Gentile
Francesco Gentile Information Technology University
Mauro Ferrari
Mauro Ferrari Houston Methodist
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
Mohamed Darouach
Mohamed Darouach University of Lorraine
Mario Cannataro
Mario Cannataro Magna Graecia University
E. Di Fabrizio
E. Di Fabrizio King Abdullah University of Science and Technology
Laura Cancedda
Laura Cancedda Italian Institute of Technology

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