World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
19882
World Ranking
2559
National Ranking
1280

Electronics and Electrical Engineering

D-Index
64
Citations
19759
World Ranking
1270
National Ranking
526

Anna Scaglione 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 Anna Scaglione 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: 446 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: 451 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Anna Scaglione 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 Anna Scaglione sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Anna Scaglione is affiliated with Cornell University in the United States. Their research focuses primarily on engineering and computer science, with specializations in electrical and electronic engineering, artificial intelligence, control and systems engineering, computer networks and communications, and information systems.

The scientist's work covers a variety of topics including:

  • Smart Grid Energy Management
  • Smart Grid Security and Resilience
  • Optimal Power Flow Distribution
  • Privacy-Preserving Technologies in Data
  • Microgrid Control and Optimization
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Graph Neural Networks

Among their recent papers are:

  • "Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid," 2021, IEEE Transactions on Signal Processing
  • "Intelligent Resource Management at the Edge for Ubiquitous IoT: An SDN-Based Federated Learning Approach," 2021, IEEE Network
  • "Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms," 2023, IEEE Transactions on Smart Grid
  • "New Insights From the Shapley-Folkman Lemma on Dispatchable Demand in Energy Markets," 2021, IEEE Transactions on Power Systems
  • "Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability," 2022, IEEE Transactions on Power Systems

Frequent coauthors collaborating with Scaglione include:

  • Thomas Parisini
  • João P. Hespanha
  • Jing Sun
  • Sarah K. Spurgeon
  • Sean Peisert

Significant publication venues where their research appears consistently comprise:

  • arXiv (Cornell University)
  • Proceedings of the IEEE
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control Systems Technology
  • IEEE Transactions on Signal Processing

Scaglione's extensive research contributions reflect an intersection of advanced graph-based methods, control theory, and energy systems, particularly focusing on the challenges of modern smart grid infrastructure and distributed resources within power networks. The scientist's work also extends to federated learning approaches in IoT and privacy considerations in data systems.

Best Publications

  • For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

    S Galli;A Scaglione;Zhifang Wang

  • Optimal designs for space-time linear precoders and decoders

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

  • Gossip Algorithms for Distributed Signal Processing

    Alexandros G Dimakis;Soummya Kar;José M F Moura;Michael G Rabbat

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

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

  • On the interdependence of routing and data compression in multi-hop sensor networks

    Anna Scaglione;Sergio Servetto

  • Broadcast Gossip Algorithms for Consensus

    T.C. Aysal;M.E. Yildiz;A.D. Sarwate;A. Scaglione

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

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

  • A scalable synchronization protocol for large scale sensor networks and its applications

    Yao-Win Hong;A. Scaglione

  • Cooperative communications in mobile ad hoc networks

    A. Scaglione;D.L. Goeckel;J.N. Laneman

  • Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

    Tsung-Hui Chang;Angelia Nedic;Anna Scaglione

  • Opportunistic large arrays: cooperative transmission in wireless multihop ad hoc networks to reach far distances

    A. Scaglione;Yao-Win Hong

  • Binary Opinion Dynamics with Stubborn Agents

    Ercan Yildiz;Asuman Ozdaglar;Daron Acemoglu;Amin Saberi

  • Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

    Zhifang Wang;Anna Scaglione;Robert J Thomas

  • 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

  • Power Line Communications and the Smart Grid

    Stefano Galli;Anna Scaglione;Zhifang Wang

  • Randomized Space-Time Coding for Distributed Cooperative Communication

    B. Sirkeci-Mergen;A. Scaglione

  • Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

    Mahnoosh Alizadeh;Hoi-To Wai;Mainak Chowdhury;Andrea Goldsmith

  • Asymptotic analysis of multistage cooperative broadcast in wireless networks

    Birsen Sirkeci-Mergen;Anna Scaglione;Gökhan Mergen

  • Electrical centrality measures for electric power grid vulnerability analysis

    Zhifang Wang;Anna Scaglione;Robert J. Thomas

  • Transmit antennae space-time block coding for generalized OFDM in the presence of unknown multipath

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

  • Randomized Space-Time Coding for Distributed Cooperative Communication: Fractional Diversity

    B.S. Mergen;A. Scaglione

Frequent Co-Authors

Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Amir Leshem
Amir Leshem Bar-Ilan University
Tsung-Hui Chang
Tsung-Hui Chang Chinese University of Hong Kong, Shenzhen
Angelia Nedic
Angelia Nedic Arizona State University
George Kesidis
George Kesidis Pennsylvania State University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Petar Popovski
Petar Popovski Aalborg University
Stefano Galli
Stefano Galli Peraton Labs

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