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Computer Science
Italy
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 66 1132 1079 23 23 316 18932
Computer Science 66 2309 2240 36 36 324 19027

Sergio Barbarossa publications per year

The chart shows the history of publications by Sergio Barbarossa between 1985 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sergio Barbarossa published across 42 years, from 1985 to 2026, averaging 8.5 papers a year. Output peaked at 19 publications in 2008. 12 of the 358 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1985 to 2026. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2008. 1985: 1 publication 1986: 2 publications 1987: 2 publications 1988: 0 publications 1989: 1 publication 1990: 3 publications 1991: 4 publications 1992: 3 publications 1993: 1 publication 1994: 4 publications 1995: 4 publications 1996: 8 publications 1997: 10 publications 1998: 9 publications 1999: 13 publications 2000: 9 publications 2001: 9 publications 2002: 6 publications 2003: 10 publications 2004: 6 publications 2005: 7 publications 2006: 9 publications 2007: 15 publications 2008: 19 publications 2009: 6 publications 2010: 6 publications 2011: 12 publications 2012: 8 publications 2013: 19 publications 2014: 16 publications 2015: 8 publications 2016: 10 publications 2017: 10 publications 2018: 10 publications 2019: 14 publications 2020: 13 publications 2021: 11 publications 2022: 14 publications 2023: 16 publications 2024: 18 publications 2025: 11 publications 2026: 1 publication
1985 2026

358 publications in total across all disciplines

View publications per year as a table
Sergio Barbarossa: publications per year, 1985 to 2026
Year Publications
1985 1
1986 2
1987 2
1988 0
1989 1
1990 3
1991 4
1992 3
1993 1
1994 4
1995 4
1996 8
1997 10
1998 9
1999 13
2000 9
2001 9
2002 6
2003 10
2004 6
2005 7
2006 9
2007 15
2008 19
2009 6
2010 6
2011 12
2012 8
2013 19
2014 16
2015 8
2016 10
2017 10
2018 10
2019 14
2020 13
2021 11
2022 14
2023 16
2024 18
2025 11
2026 1
Total 358
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 314–333 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276 316
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 66 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64 66
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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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

  • 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

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