World's Best Scientists 2026 revealed!
Francesco Svelto

Francesco Svelto

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
6654
World Ranking
3770
National Ranking
116

Francesco Svelto 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 Svelto 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: 208 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Francesco Svelto 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 Svelto 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: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Overview

Francesco Svelto is affiliated with the University of Pavia in Italy. Their research primarily focuses on Engineering, with a specialization in Electrical and Electronic Engineering and contributions to Atomic and Molecular Physics, and Optics.

The main topics covered in their work include:

  • Photonic and Optical Devices
  • Radio Frequency Integrated Circuit Design
  • Advanced Photonic Communication Systems
  • Semiconductor Quantum Structures and Devices
  • Optical Network Technologies
  • Semiconductor Lasers and Optical Devices
  • Semiconductor materials and devices

Frequent coauthors who have collaborated with Francesco Svelto include:

  • Dan Li
  • Matteo Repossi
  • Li Geng
  • Franco Maloberti
  • Farhad Bozorgi

Their research has been published in several notable venues, including:

  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Journal of Solid-State Circuits
  • Journal of Lightwave Technology
  • Micromachines

Selected recent publications by Francesco Svelto include:

  • "Overcoming the Transimpedance Limit: A Tutorial on Design of Low-Noise TIA," 2022, IEEE Transactions on Circuits & Systems II Express Briefs
  • "Analog Front End of 50-Gb/s SiGe BiCMOS Opto-Electrical Receiver in 3-D-Integrated Silicon Photonics Technology," 2021, IEEE Journal of Solid-State Circuits
  • "Multi-Rate Low-Noise Optical Receiver Front-End," 2020, Journal of Lightwave Technology
  • "CMOS Low-Power Optical Transceiver for Short Reach," 2025, Micromachines

Best Publications

  • Toward multistandard mobile terminals - fully integrated receivers requirements and architectures

    M. Brandolini;P. Rossi;D. Manstretta;F. Svelto

  • Second-order intermodulation mechanisms in CMOS downconverters

    D. Manstretta;M. Brandolini;F. Svelto

  • Dielectric Properties Characterization From 0.5 to 50 GHz of Breast Cancer Tissues

    Andrea Martellosio;Marco Pasian;Maurizio Bozzi;Luca Perregrini

  • Analysis of reliability and power efficiency in cascode class-E PAs

    A. Mazzanti;L. Larcher;R. Brama;F. Svelto

  • Analysis and design of injection-locked LC dividers for quadrature generation

    A. Mazzanti;P. Uggetti;F. Svelto

  • Wireless multi-standard terminals: system analysis and design of a reconfigurable RF front-end

    F. Agnelli;G. Albasini;I. Bietti;A. Gnudi

  • A 1.3 GHz low-phase noise fully tunable CMOS LC VCO

    F. Svelto;S. Deantoni;R. Castello

  • A Low-Noise Design Technique for High-Speed CMOS Optical Receivers

    Dan Li;Gabriele Minoia;Matteo Repossi;Daniele Baldi

  • A 3.5 GHz Wideband ADPLL With Fractional Spur Suppression Through TDC Dithering and Feedforward Compensation

    Colin Weltin-Wu;Enrico Temporiti;Daniele Baldi;Marco Cusmai

  • Insights Into Phase-Noise Scaling in Switch-Coupled Multi-Core LC VCOs for E-Band Adaptive Modulation Links

    Lorenzo Iotti;Andrea Mazzanti;Francesco Svelto

  • A 0.18- $muhbox m$ CMOS Selective Receiver Front-End for UWB Applications

    G. Cusmai;M. Brandolini;P. Rossi;F. Svelto

  • A 2-dB noise figure 900-MHz differential CMOS LNA

    F. Gatta;E. Sacchi;F. Svelto;P. Vilmercati

  • A 3 GHz Fractional All-Digital PLL With a 1.8 MHz Bandwidth Implementing Spur Reduction Techniques

    E. Temporiti;C. Weltin-Wu;D. Baldi;R. Tonietto

  • A metal-oxide-semiconductor varactor

    F. Svelto;P. Erratico;S. Manzini;R. Castello

  • On the Feasibility of Breast Cancer Imaging Systems at Millimeter-Waves Frequencies

    Simona Di Meo;Pedro Fidel Espin-Lopez;Andrea Martellosio;Marco Pasian

  • A +78 dBm IIP2 CMOS direct downconversion mixer for fully integrated UMTS receivers

    M. Brandolini;P. Rossi;D. Sanzogni;F. Svelto

  • A variable gain RF front-end, based on a Voltage-Voltage feedback LNA, for multistandard applications

    P. Rossi;A. Liscidini;M. Brandolini;F. Svelto

  • A Low-Noise Quadrature VCO Based on Magnetically Coupled Resonators and a Wideband Frequency Divider at Millimeter Waves

    U. Decanis;A. Ghilioni;E. Monaco;A. Mazzanti

  • A 40–67 GHz Power Amplifier With 13 dBm ${ m P}_{ m SAT}$ and 16% PAE in 28 nm CMOS LP

    Matteo Bassi;Junlei Zhao;Andrea Bevilacqua;Andrea Ghilioni

  • On the amplitude and phase errors of quadrature LC-tank CMOS oscillators

    A. Mazzanti;F. Svelto;P. Andreani

Frequent Co-Authors

Andrea Mazzanti
Andrea Mazzanti University of Pavia
Rinaldo Castello
Rinaldo Castello École Polytechnique Fédérale de Lausanne
Luca Perregrini
Luca Perregrini University of Pavia
Maurizio Bozzi
Maurizio Bozzi University of Pavia
Luca Larcher
Luca Larcher University of Modena and Reggio Emilia
Pietro Andreani
Pietro Andreani Lund University
Riccardo Rovatti
Riccardo Rovatti University of Bologna
Andrea L. Lacaita
Andrea L. Lacaita Polytechnic University of Milan
Paolo Veronesi
Paolo Veronesi European Institute of Oncology

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Additionally, competency-based online colleges provide personalized learning paths focused on demonstrated skills, ideal for self-motivated learners who want to tailor their education to specific career goals.

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