World's Best Scientists 2026 revealed!
Fabio Graziosi

Fabio Graziosi

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
31
Citations
3507
World Ranking
6631
National Ranking
309

Fabio Graziosi 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 Fabio Graziosi 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: 238 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Fabio Graziosi 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 Fabio Graziosi 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Fabio Graziosi is affiliated with the University of L'Aquila in Italy. Their research spans multiple areas within engineering and computer science, focusing particularly on advanced applications in structural health monitoring, network communications, and computational techniques applied to seismic and cultural heritage contexts.

Their notable recent publications include:

  • Data-driven optimal predictive control of seismic induced vibrations in frame structures, 2020, Structural Control and Health Monitoring
  • Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests, 2020, Journal of Optimization Theory and Applications
  • On the Exploitation of 5G Multi-Access Edge Computing for Spatial Audio in Cultural Heritage Applications, 2021, IEEE Access
  • What Can 5G Do for Public Safety? Structural Health Monitoring and Earthquake Early Warning Scenarios, 2022, Sensors
  • Design and evaluation of 5G-based architecture supporting data-driven digital twins updating and matching in seismic monitoring, 2022, Bulletin of Earthquake Engineering

The main fields of study for Fabio Graziosi comprise Engineering and Computer Science. Specific subfields they work in include Electrical and Electronic Engineering, Computer Networks and Communications, Civil and Structural Engineering, Aerospace Engineering, and Computer Vision and Pattern Recognition.

Key research topics associated with their work are:

  • Advanced Optical Network Technologies
  • Structural Health Monitoring Techniques
  • IoT and Edge/Fog Computing
  • Advanced Photonic Communication Systems
  • Software-Defined Networks and 5G
  • Optical Network Technologies
  • 3D Surveying and Cultural Heritage

Fabio Graziosi collaborates frequently with a group of coauthors, including:

  • Fabio Franchi
  • Andrea Marotta
  • Claudia Rinaldi
  • Carlo Centofanti
  • Dajana Cassioli

Their research contributions have appeared repeatedly in a variety of publication venues, predominantly in engineering and technology journals. Major venues include:

  • IEEE Access
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • IEEE Open Journal of the Communications Society
  • IEEE Networking Letters

Best Publications

  • A general correlation model for shadow fading in mobile radio systems

    F. Graziosi;F. Santucci

  • Channel Capacity Over Generalized Fading Channels: A Novel MGF-Based Approach for Performance Analysis and Design of Wireless Communication Systems

    M. Di Renzo;F. Graziosi;F. Santucci

  • A unified framework for performance analysis of CSI-assisted cooperative communications over fading channels

    M. Renzo;F. Graziosi;F. Santucci

  • Space Shift Keying (SSK—) MIMO with Practical Channel Estimates

    M. Di Renzo;Dario De Leonardis;F. Graziosi;H. Haas

  • Generalized moment matching for the linear combination of lognormal RVs: application to outage analysis in wireless systems

    M. Pratesi;F. Santucci;F. Graziosi

  • A comprehensive framework for performance analysis of dual-hop cooperative wireless systems with fixed-gain relays over generalized fading channels

    M. Di Renzo;F. Graziosi;F. Santucci

  • A comprehensive framework for performance analysis of cooperative multi-hop wireless systems over log-normal fading channels

    M. Renzo;F. Graziosi;F. Santucci

  • A multicell model of handover initiation in mobile cellular networks

    F. Graziosi;M. Pratesi;M. Ruggieri;F. Santucci

  • Distributed data fusion over correlated log-normal sensing and reporting channels: Application to cognitive radio networks

    M. Renzo;L. Imbriglio;F. Graziosi;F. Santucci

  • Approximation for a Sum of On-Off Log-Normal Processes With Wireless Applications

    C. Fischione;F. Graziosi;F. Santucci

  • On Diversity Order and Coding Gain of Multisource Multirelay Cooperative Wireless Networks With Binary Network Coding

    M. Di Renzo;M. Iezzi;F. Graziosi

  • Multi-user spatial modulation MIMO

    Sandeep Narayanan;Marium Jalal Chaudhry;Athanasios Stavridis;Marco Di Renzo

  • Locating zigbee® nodes using the ti®s cc2431 location engine: a testbed platform and new solutions for positioning estimation of wsns in dynamic indoor environments

    Stefano Tennina;Marco Di Renzo;Fabio Graziosi;Fortunato Santucci

  • Modeling of the handover dwell time in cellular mobile communications systems

    M. Ruggieri;F. Graziosi;F. Santucci

  • Distributed Spatial Modulation: A Cooperative Diversity Protocol for Half-Duplex Relay-Aided Wireless Networks

    Sandeep Narayanan;Marco Di Renzo;Fabio Graziosi;Harald Haas

  • Long-term structural monitoring of the damaged Basilica S. Maria di Collemaggio through a low-cost wireless sensor network

    Francesco Potenza;Fabio Federici;Marco Lepidi;Vincenzo Gattulli

  • Further results on the approximation of log-normal power sum via pearson type IV distribution: a general formula for log-moments computation

    M. Di Renzo;F. Graziosi;F. Santucci

  • The ultra-wide bandwidth outdoor channel: from measurement campaign to statistical modelling

    Marco Di Renzo;Fabio Graziosi;Riccardo Minutolo;Mauro Montanari

  • Error Performance and Diversity Analysis of Multi-Source Multi-Relay Wireless Networks with Binary Network Coding and Cooperative MRC

    M. Di Renzo;M. Iezzi;F. Graziosi

  • Outage analysis in mobile radio systems with generically correlated log-normal interferers

    M. Pratesi;F. Santucci;F. Graziosi;M. Ruggieri

  • On the Performance of CSI-Assisted Cooperative Communications over Generalized Fading Channels

    M. Di Renzo;F. Graziosi;F. Santucci

Frequent Co-Authors

Marco Di Renzo
Marco Di Renzo CentraleSupélec
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Harald Haas
Harald Haas University of Cambridge
Vincenzo Gattulli
Vincenzo Gattulli Sapienza University of Rome
Luis Alonso
Luis Alonso Universitat Politècnica de Catalunya
Angelos Antonopoulos
Angelos Antonopoulos Universitat Politècnica de Catalunya
Christos Verikoukis
Christos Verikoukis University of Patras
Antonio Mecozzi
Antonio Mecozzi University of L'Aquila
Naoya Wada
Naoya Wada National Institute of Information and Communications Technology
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology

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