World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
15045
World Ranking
885
National Ranking
15

Antonio De Maio 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 Antonio De Maio 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: 386 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Antonio De Maio 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 Antonio De Maio 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: 71 D-Index — 88th percentile

88% 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

  • 2013 - IEEE Fellow For contributions to radar signal processing

Overview

Antonio De Maio is affiliated with the University of Naples Federico II in Italy. Their research primarily spans fields related to engineering and computer science, with a strong focus on aerospace engineering and signal processing.

Their work encompasses several subfields including aerospace engineering, signal processing, artificial intelligence, electrical and electronic engineering, and oceanography.

Key topics within their research portfolio include:

  • Radar Systems and Signal Processing
  • Advanced SAR Imaging Techniques
  • Direction-of-Arrival Estimation Techniques
  • Target Tracking and Data Fusion in Sensor Networks
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Antenna Design and Optimization
  • Indoor and Outdoor Localization Technologies

Antonio De Maio has contributed extensively to a number of publication venues. The most frequent include:

  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Aerospace and Electronic Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Aerospace and Electronic Systems Magazine

The recent research outputs demonstrate a focus on radar technologies and signal design, with notable papers including:

  • GLRT-Based Adaptive Target Detection in FDA-MIMO Radar, 2020, IEEE Transactions on Aerospace and Electronic Systems
  • On the Design of Multi-Spectrally Constrained Constant Modulus Radar Signals, 2020, IEEE Transactions on Signal Processing
  • Multi-Spectrally Constrained Transceiver Design Against Signal-Dependent Interference, 2022, IEEE Transactions on Signal Processing
  • Single-Snapshot Angle and Incremental Range Estimation for FDA-MIMO Radar, 2021, IEEE Transactions on Aerospace and Electronic Systems
  • FDA-MIMO Transmitter and Receiver Optimization, 2024, IEEE Transactions on Signal Processing

Frequent co-authors collaborating with Antonio De Maio are:

  • Augusto Aubry
  • Massimo Rosamilia
  • Vincenzo Carotenuto
  • Paolo Braca
  • Alfonso Farina

Antonio De Maio was recognized as an IEEE Fellow in 2013 for contributions to radar signal processing.

Best Publications

  • GLRT-based adaptive detection algorithms for range-spread targets

    E. Conte;A. De Maio;G. Ricci

  • Waveform design and diversity for advanced radar systems

    Fulvio Gini;Antonio De Maio;Lee Patton

  • Recursive estimation of the covariance matrix of a compound-Gaussian process and its application to adaptive CFAR detection

    E. Conte;A. De Maio;G. Ricci

  • Design Principles of MIMO Radar Detectors

    A. De Maio;M. Lops

  • Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization

    A. Aubry;A. De Maio;M. Piezzo;A. Farina

  • Statistical analysis of real clutter at different range resolutions

    E. Conte;A. De Maio;C. Galdi

  • Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix

    A. De Maio

  • A new radar waveform design algorithm with improved feasibility for spectral coexistence

    A. Aubry;A. De Maio;Y. Huang;M. Piezzo

  • Design of Phase Codes for Radar Performance Optimization With a Similarity Constraint

    A. De Maio;S. De Nicola;Yongwei Huang;Zhi-Quan Luo

  • Ambiguity Function Shaping for Cognitive Radar Via Complex Quartic Optimization

    A. Aubry;A. De Maio;Bo Jiang;Shuzhong Zhang

  • Design of Optimized Radar Codes With a Peak to Average Power Ratio Constraint

    Antonio De Maio;Yongwei Huang;M Piezzo;Shuzhong Zhang

  • Adaptive Radar Detection of Distributed Targets in Homogeneous and Partially Homogeneous Noise Plus Subspace Interference

    F. Bandiera;A. De Maio;A.S. Greco;G. Ricci

  • A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

    Mohammad Alaee Kerahroodi;Augusto Aubry;Antonio De Maio;Mohammad Mahdi Naghsh

  • GLRT-Based Adaptive Target Detection in FDA-MIMO Radar

    Lan Lan;Angela Marino;Augusto Aubry;Antonio De Maio

  • MIMO Radar Beampattern Design Via PSL/ISL Optimization

    Augusto Aubry;Antonio De Maio;Yongwei Huang

  • Optimizing Radar Waveform and Doppler Filter Bank via Generalized Fractional Programming

    Augusto Aubry;Antonio De Maio;Mohammad Mahdi Naghsh

  • Optimization theory-based radar waveform design for spectrally dense environments

    Augusto Aubry;Vincenzo Carotenuto;Antonio De Maio;Alfonso Farina

  • Code Design to Optimize Radar Detection Performance Under Accuracy and Similarity Constraints

    A. De Maio;S. De Nicola;Yongwei Huang;Shuzhong Zhang

  • CFAR detection of distributed targets in non-Gaussian disturbance

    E. Conte;A. De Maio;G. Ricci

  • Knowledge-Aided Bayesian Radar Detectors & Their Application to Live Data

    A. De Maio;A. Farina;G. Foglia

  • A Coordinate-Descent Framework to Design Low PSL/ISL Sequences

    M. Alaee;A. Aubry;A. De Maio;M. M. Naghsh

Frequent Co-Authors

Augusto Aubry
Augusto Aubry University of Naples Federico II
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Danilo Orlando
Danilo Orlando IEEE Computer Society
John J. Soraghan
John J. Soraghan University of Strathclyde
Guolong Cui
Guolong Cui University of Electronic Science and Technology of China
Michael C. Wicks
Michael C. Wicks University of Dayton
Paolo Braca
Paolo Braca North Atlantic Treaty Organization
Domenico Ciuonzo
Domenico Ciuonzo University of Naples Federico II
Petre Stoica
Petre Stoica Uppsala University
Guisheng Liao
Guisheng Liao Xidian University

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