World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
69
Citations
22306
World Ranking
951
National Ranking
402

Computer Science

D-Index
69
Citations
22908
World Ranking
1950
National Ranking
989

Osvaldo Simeone 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 Osvaldo Simeone 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: 538 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Osvaldo Simeone 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 Osvaldo Simeone 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: 69 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Osvaldo Simeone is affiliated with King's College London in the United Kingdom. Their research spans multiple topics and fields focused on advanced computing and communication technologies.

The scientist has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on the subfields of Artificial Intelligence, Electrical and Electronic Engineering, and Computer Networks and Communications. Other areas of interest include Aerospace Engineering and Cognitive Neuroscience.

Key topics in their research include:

  • Advanced Memory and Neural Computing
  • Advanced MIMO Systems Optimization
  • Distributed Sensor Networks and Detection Algorithms
  • Privacy-Preserving Technologies in Data
  • Neural Networks and Reservoir Computing
  • Advanced Wireless Communication Technologies
  • Ferroelectric and Negative Capacitance Devices

Osvaldo Simeone has published in various notable venues, with a significant number of publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Wireless Communications
  • IEEE Signal Processing Letters

Some recent papers authored by or associated with Simeone include:

  • "Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison," 2020, IEEE Open Journal of the Communications Society
  • "Memristors-From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing," 2020, Advanced Intelligent Systems
  • "Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control," 2020, IEEE Journal on Selected Areas in Communications
  • "Semantic-Effectiveness Filtering and Control for Post-5G Wireless Connectivity," 2020, IRIS UNIMORE (University of Modena and Reggio Emilia)
  • "Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis," 2021, arXiv (Cornell University)

Frequent collaborators in Simeone's work include:

  • Sangwoo Park
  • Shlomo Shamai
  • Matteo Zecchin
  • Sharu Theresa Jose
  • Bipin Rajendran

In addition to journal articles and conference papers, Simeone has contributed to book publications. One notable work is the book titled Machine Learning for Engineers, published by Cambridge University Press in 2022.

Best Publications

  • Multi-Cell MIMO Cooperative Networks: A New Look at Interference

    D Gesbert;S Hanly;H Huang;S Shamai Shitz

  • Energy Harvesting Wireless Communications: A Review of Recent Advances

    Sennur Ulukus;Aylin Yener;Elza Erkip;Osvaldo Simeone

  • 5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View

    Petar Popovski;Kasper Floe Trillingsgaard;Osvaldo Simeone;Giuseppe Durisi

  • Reconfigurable Intelligent Surfaces vs. Relaying: Differences, Similarities, and Performance Comparison

    Marco Di Renzo;Konstantinos Ntontin;Jian Song;Fadil Habibi Danufane

  • Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning

    Seongah Jeong;Osvaldo Simeone;Joonhyuk Kang

  • Spectrum Leasing to Cooperating Secondary Ad Hoc Networks

    O. Simeone;I. Stanojev;S. Savazzi;Y. Bar-Ness

  • A Very Brief Introduction to Machine Learning With Applications to Communication Systems

    Osvaldo Simeone

  • Stable Throughput of Cognitive Radios With and Without Relaying Capability

    O. Simeone;Y. Bar-Ness;U. Spagnolini

  • Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications

    Ali Al-Shuwaili;Osvaldo Simeone

  • Distributed synchronization in wireless networks

    O. Simeone;U. Spagnolini;Y. Bar-Ness;S. Strogatz

  • Pilot-based channel estimation for OFDM systems by tracking the delay-subspace

    O. Simeone;Y. Bar-Ness;U. Spagnolini

  • Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

    Seok-Hwan Park;Osvaldo Simeone;Onur Sahin;Shlomo Shamai

  • Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing.

    Adnan Mehonic;Abu Sebastian;Bipin Rajendran;Osvaldo Simeone

  • Joint Optimization of Cloud and Edge Processing for Fog Radio Access Networks

    Seok-Hwan Park;Osvaldo Simeone;Shlomo Shamai Shitz

  • Fronthaul Compression for Cloud Radio Access Networks: Signal processing advances inspired by network information theory

    Seok-Hwan Park;Osvaldo Simeone;Onur Sahin;Shlomo Shamai Shitz

  • Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control

    Dongzhu Liu;Osvaldo Simeone

  • Downlink multicell processing with limited-backhaul capacity

    O. Simeone;O. Somekh;H. V. Poor;S. Shamai

  • On the Transfer of Information and Energy in Multi-User Systems

    A. M. Fouladgar;O. Simeone

  • Cloud radio access network: Virtualizing wireless access for dense heterogeneous systems

    Osvaldo Simeone;Andreas Maeder;Mugen Peng;Onur Sahin

  • Robust and Efficient Distributed Compression for Cloud Radio Access Networks

    Seok-Hwan Park;O. Simeone;O. Sahin;S. Shamai

  • Joint optimization of cloud and edge processing for fog radio access networks

    Seok-Hwan Park;Osvaldo Simeone;Shlomo Shamai

Frequent Co-Authors

Shlomo Shamai
Shlomo Shamai Technion – Israel Institute of Technology
Umberto Spagnolini
Umberto Spagnolini Polytechnic University of Milan
Yeheskel Bar-Ness
Yeheskel Bar-Ness New Jersey Institute of Technology
Petar Popovski
Petar Popovski Aalborg University
Elza Erkip
Elza Erkip New York University
Alexander M. Haimovich
Alexander M. Haimovich New Jersey Institute of Technology
Wei Yu
Wei Yu University of Toronto
Mugen Peng
Mugen Peng Beijing University of Posts and Telecommunications
Ravi Tandon
Ravi Tandon University of Arizona
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design

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