World's Best Scientists 2026 revealed!
Andrea M. Tonello

Andrea M. Tonello

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
5663
World Ranking
5745
National Ranking
17

Computer Science

D-Index
34
Citations
5818
World Ranking
12068
National Ranking
106

Andrea M. Tonello 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 Andrea M. Tonello 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: 322 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Andrea M. Tonello 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 Andrea M. Tonello 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: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Overview

Andrea M. Tonello is affiliated with the University of Klagenfurt in Austria. Their research encompasses various areas within engineering and computer science, with a strong emphasis on electrical and electronic engineering.

The main fields of study for Andrea M. Tonello include:

  • Engineering
  • Computer Science

The subfields of study reveal a focus on specific engineering and computational disciplines:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition

The scientist's research topics cover several technical areas related to communications and networks, including:

  • Power Line Communications and Noise
  • Wireless Communication Security Techniques
  • Wireless Signal Modulation Classification
  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Full-Duplex Wireless Communications
  • Distributed Sensor Networks and Detection Algorithms

Recent papers authored or coauthored by Andrea M. Tonello include the following:

  • Capacity-Driven Autoencoders for Communications, 2021, IEEE Open Journal of the Communications Society
  • A Novel Recursive Smooth Trajectory Generation Method for Unmanned Vehicles, 2021, IEEE Transactions on Robotics
  • MIMO In-Band-Full-Duplex PLC: Design, Analysis and First Hardware Realization of the Analog Self-Interference Cancellation Stage, 2021, IEEE Open Journal of the Communications Society
  • A Swash Mass Pendulum with Passivity-Based Control, 2020, IEEE Robotics and Automation Letters
  • Data-driven prosumer-centric energy scheduling using convolutional neural networks, 2021, Applied Energy

Andrea M. Tonello collaborates frequently with several researchers, including:

  • Nunzio A. Letizia
  • Ana García Armada
  • Babak Salamat
  • Stefano Bregni
  • Harold Tepper

Key publication venues where Andrea M. Tonello's work has appeared include:

  • arXiv (Cornell University)
  • IEEE Transactions on Green Communications and Networking
  • IEEE Open Journal of the Communications Society
  • IEEE Access
  • IEEE Robotics and Automation Letters

Best Publications

  • Power Line Communications: Principles, Standards and Applications from Multimedia to Smart Grid

    Lutz Lampe;Andrea M. Tonello;Theo G. Swart

  • State of the Art in Power Line Communications: From the Applications to the Medium

    Cristina Cano;Alberto Pittolo;David Malone;Lutz Lampe

  • Space-time bit-interleaved coded modulation with an iterative decoding strategy

    A.M. Tonello

  • Bottom-Up Statistical PLC Channel Modeling—Part I: Random Topology Model and Efficient Transfer Function Computation

    A M Tonello;F Versolatto

  • GREEND: An energy consumption dataset of households in Italy and Austria

    Andrea Monacchi;Dominik Egarter;Wilfried Elmenreich;Salvatore D'Alessandro

  • Analysis of the uplink of an asynchronous multi-user DMT OFDMA system impaired by time offsets, frequency offsets, and multi-path fading

    A.M. Tonello;N. Laurenti;S. Pupolin

  • Improved Nyquist pulses

    A. Assalini;A.M. Tonello

  • On noise modeling for power line communications

    Luca Di Bert;Peter Caldera;David Schwingshackl;Andrea M. Tonello

  • Wideband Impulse Modulation and Receiver Algorithms for Multiuser Power Line Communications

    Andrea M. Tonello

  • A Fitting Algorithm for Random Modeling the PLC Channel

    A. M. Tonello;F. Versolatto;B. Bejar;S. Zazo

  • An MTL Theory Approach for the Simulation of MIMO Power-Line Communication Channels

    F. Versolatto;A. M. Tonello

  • Bottom-Up Statistical PLC Channel Modeling—Part II: Inferring the Statistics

    A M Tonello;F Versolatto

  • In-Home Power Line Communication Channel: Statistical Characterization

    Andrea M. Tonello;Fabio Versolatto;Alberto Pittolo

  • Cyclic Prefix Design and Allocation in Bit-Loaded OFDM over Power Line Communication Channels

    A M Tonello;S D'Alessandro;L Lampe

  • Bottom-up transfer function generator for broadband PLC statistical channel modeling

    Andrea M. Tonello;Tao Zheng

  • State-of-the-art in Power Line Communications: from the Applications to the Medium

    Cristina Cano;Alberto Pittolo;David Malone;Lutz Lampe

  • Measurements and analysis of PLC channels in a cruise ship

    Massimo Antoniali;Andrea M. Tonello;Matteo Lenardon;Andrea Qualizza

  • Opportunistic Relaying in In-Home PLC Networks

    Andrea M. Tonello;Fabio Versolatto;Salvatore D'Alessandro

  • Asynchronous multicarrier multiple access: Optimal and sub-optimal detection and decoding

    Andrea M. Tonello

  • MIMO MAP equalization and turbo decoding in interleaved space-time coded systems

    A.M. Tonello

  • Design of orthogonal filtered multitone modulation systems and comparison among efficient realizations

    Nicola Moret;Andrea M. Tonello

  • A Comparison Between Orthogonal and Non-Orthogonal Multiple Access in Cooperative Relaying Power Line Communication Systems

    Khaled M. Rabie;Bamidele Adebisi;Ebtihal H. G. Yousif;Haris Gacanin

Frequent Co-Authors

Lutz Lampe
Lutz Lampe University of British Columbia
Khaled M. Rabie
Khaled M. Rabie King Fahd University of Petroleum and Minerals
Stephan Weiss
Stephan Weiss University of Strathclyde
Bamidele Adebisi
Bamidele Adebisi Manchester Metropolitan University
Anand G. Dabak
Anand G. Dabak Texas Instruments (United States)
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas
Jian Song
Jian Song Tsinghua University
Andrea Zanella
Andrea Zanella University of Padua
Graeme Burt
Graeme Burt University of Strathclyde
Wenbo Ding
Wenbo Ding Tsinghua University

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