World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Italy
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
18932
World Ranking
1132
National Ranking
23

Computer Science

D-Index
66
Citations
19027
World Ranking
2309
National Ranking
36

Sergio Barbarossa 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 Sergio Barbarossa 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: 316 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Sergio Barbarossa 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 Sergio Barbarossa 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award
  • 2012 - IEEE Fellow For contributions to signal processing, sensor networks, and wireless communications

Overview

Sergio Barbarossa is affiliated with Sapienza University of Rome in Italy. Their research spans multiple domains primarily within Computer Science and Engineering, with notable contributions to Electrical and Electronic Engineering, Artificial Intelligence, and Computer Networks and Communications.

Their recent scholarly output includes publications addressing emerging topics in wireless communication and signal processing. Notable papers include:

  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications, 2021, published in HAL (Le Centre pour la Communication Scientifique Directe)
  • Topological Signal Processing Over Simplicial Complexes, 2020, published in IEEE Transactions on Signal Processing
  • Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications, 2020, published in IEEE Transactions on Signal and Information Processing over Networks
  • Wireless Edge Machine Learning: Resource Allocation and Trade-Offs, 2021, published in IEEE Access
  • Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning, 2022, published in IEEE Transactions on Green Communications and Networking

The scientist's research topics include:

  • Topological and Geometric Data Analysis
  • Advanced Graph Neural Networks
  • Wireless Communication Security Techniques
  • Advanced Wireless Communication Technologies
  • Distributed Sensor Networks and Detection Algorithms
  • Energy Harvesting in Wireless Networks
  • Wireless Signal Modulation Classification

Frequent coauthors in their work include:

  • Paolo Di Lorenzo
  • Stefania Sardellitti
  • Mattia Merluzzi
  • Claudio Battiloro
  • Emilio Calvanese Strinati

Barbarossa has also published extensively in a set of recurring venues, such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Green Communications and Networking

Throughout their career, Barbarossa has focused on the development and analysis of wireless communication systems, with work addressing signal processing, sensor networks, distributed algorithms, and efficient resource allocation techniques in edge computing scenarios. This multidisciplinary approach incorporates elements from computational theory and mathematics alongside practical engineering challenges.

In recognition of their contributions to these fields, they were named an IEEE Fellow in 2012 for work related to signal processing, sensor networks, and wireless communications.

Best Publications

  • Optimal designs for space-time linear precoders and decoders

    A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis

  • Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing

    Stefania Sardellitti;Gesualdo Scutari;Sergio Barbarossa

  • Redundant filterbank precoders and equalizers. I. Unification and optimal designs

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication

    Emilio Calvanese Strinati;Sergio Barbarossa;Jose Luis Gonzalez-Jimenez;Dimitri Ktenas

  • Analysis of multicomponent LFM signals by a combined Wigner-Hough transform

    S. Barbarossa

  • Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks

    Sergio Barbarossa;Stefania Sardellitti;Paolo Di Lorenzo

  • Product high-order ambiguity function for multicomponent polynomial-phase signal modeling

    S. Barbarossa;A. Scaglione;G.B. Giannakis

  • 6G networks: Beyond Shannon towards semantic and goal-oriented communications

    Emilio Calvanese Strinati;Sergio Barbarossa

  • Signals on Graphs: Uncertainty Principle and Sampling

    Mikhail Tsitsvero;Sergio Barbarossa;Paolo Di Lorenzo

  • Non-data-aided carrier offset estimators for OFDM with null subcarriers: identifiability, algorithms, and performance

    Xiaoli Ma;C. Tepedelenlioglu;G.B. Giannakis;S. Barbarossa

  • Filterbank transceivers optimizing information rate in block transmissions over dispersive channels

    A. Scaglione;S. Barbarossa;G.B. Giannakis

  • Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • Detection and imaging of moving objects with synthetic aperture radar. Part 2: Joint time-frequency analysis by Wigner-Ville distribution

    S. Barbarossa;A. Farina

  • Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria

    G. Scutari;D.P. Palomar;S. Barbarossa

  • The MIMO Iterative Waterfilling Algorithm

    G. Scutari;D.P. Palomar;S. Barbarossa

  • Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View

    G. Scutari;D. Palomar;S. Barbarossa

  • Channel-independent synchronization of orthogonal frequency division multiple access systems

    S. Barbarossa;M. Pompili;G.B. Giannakis

  • Asynchronous Iterative Water-Filling for Gaussian Frequency-Selective Interference Channels

    G. Scutari;D.P. Palomar;S. Barbarossa

  • Detection and imaging of moving objects with synthetic aperture radar. Part 1: Optimal detection and parameter estimation theory

    S. Barbarossa

  • Potential Games: A Framework for Vector Power Control Problems With Coupled Constraints

    G. Scutari;S. Barbarossa;D.P. Palomar

  • Cognitive MIMO radio

    G. Scutari;D. Palomar;S. Barbarossa

Frequent Co-Authors

Gesualdo Scutari
Gesualdo Scutari Purdue University West Lafayette
Anna Scaglione
Anna Scaglione Cornell University
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Daniel P. Palomar
Daniel P. Palomar Hong Kong University of Science and Technology
Ananthram Swami
Ananthram Swami United States Army Research Laboratory
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Sergios Theodoridis
Sergios Theodoridis National and Kapodistrian University of Athens
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Aarno Parssinen
Aarno Parssinen University of Oulu

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open new career pathways. Many students and professionals benefit from accelerated online degree programs, which allow working adults to earn their qualifications faster without compromising quality.

Additionally, degrees like an instructional design masters degree online provide a unique blend of technical and educational skills, preparing graduates for roles in training and curriculum development within tech industries.

Students and professionals can also explore list of competency-based colleges that offer flexible programs focused on mastering specific skills, ideal for hands-on fields like engineering where practical knowledge is key.

For military spouses, navigating education options can be challenging. Fortunately, several online schools for military spouses provide tailored support and flexible learning schedules, enabling them to pursue degrees in engineering and related fields from anywhere.

Best Scientists Citing Sergio Barbarossa

Trending Scientists

Recently Published Articles