World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5309
World Ranking
12586
National Ranking
439

Marco Luise publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Marco Luise sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 341 publications — 80th percentile

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

The last bar groups every scientist with 991 publications or more.

Marco Luise D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Marco Luise sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to synchronization and signal processing in communications

Overview

Marco Luise is affiliated with the University of Pisa in Italy. Their research spans multiple fields of study, predominantly in engineering and computer science. More specifically, their work relates to subfields including electrical and electronic engineering, aerospace engineering, computer networks and communications, artificial intelligence, and automotive engineering.

The main topics of Marco Luise's scholarly work include satellite communication systems, vehicular ad hoc networks (VANETs), privacy-preserving technologies in data, autonomous vehicle technology and safety, opportunistic and delay-tolerant networks, blockchain technology applications and security, and advanced MIMO systems optimization.

Marco Luise has contributed to several publication venues. They have published extensively in the Journal of Communications and Networks, as well as in IEEE Transactions on Aerospace and Electronic Systems. Additional venues include Zenodo (CERN European Organization for Nuclear Research), IEEE Network, and the Journal of Network and Computer Applications.

Some of the recent papers by Marco Luise are as follows:

  • The Open Challenge of Integrating Satellites into (Beyond-) 5G Cellular Networks, 2022, IEEE Network
  • A transparent distributed ledger-based certificate revocation scheme for VANETs, 2023, Journal of Network and Computer Applications
  • Formation-of-Arrays Antenna Technology for High-Throughput Mobile Non-Terrestrial Networks, 2023, IEEE Transactions on Aerospace and Electronic Systems
  • Securing Seaport Logistic Vehicles Using a Distributed Ledger-Based Credential Management System, 2021, IEEE Open Journal of Vehicular Technology
  • Optimizing a Formation-of-Arrays (FoA) Satellite Antenna System for Very High-Throughput Communications, 2024, IEEE Transactions on Aerospace and Electronic Systems

Frequent coauthors in their research network include Anthony Ephremides, Inkyu Co, Advisors Byeong, Ga Eun Lee, and E. Biglieri.

Marco Luise was awarded the IEEE Fellow distinction in 2012 for contributions to synchronization and signal processing in communications.

Best Publications

  • Carrier frequency recovery in all-digital modems for burst-mode transmissions

    M. Luise;R. Reggiannini

  • Carrier frequency acquisition and tracking for OFDM systems

    M. Luise;R. Reggiannini

  • Turbo synchronization: an EM algorithm interpretation

    N. Noels;C. Herzet;A. Dejonghe;V. Lottici

  • Mobile and Personal Communications in the 60 GHz Band: A Survey

    Filippo Giannetti;Marco Luise;Ruggero Reggiannini

  • Embedding carrier phase recovery into iterative decoding of turbo-coded linear modulations

    V. Lottici;M. Luise

  • Low-complexity blind carrier frequency recovery for OFDM signals over frequency-selective radio channels

    M. Luise;M. Marselli;R. Reggiannini

  • A theoretical framework for soft-information-based synchronization in iterative (Turbo) receivers

    Nele Noels;Vincenzo Lottici;Antoine Dejonghe;Heidi Steendam

  • Code-Aided Turbo Synchronization

    C. Herzet;N. Noels;V. Lottici;H. Wymeersch

  • A digital chip timing recovery loop for band-limited direct-sequence spread-spectrum signals

    R. De Gaudenzi;M. Luise;R. Viola

  • Satellite and Terrestrial Radio PositioningTechniques - A signal processing perspective

    D. Dardari;E. Falletti;Marco Luise

  • MHOMS: high-speed ACM modem for satellite applications

    S. Benedetto;R. Garello;G. Montorsi;C. Berrou

  • Decision-directed coherent delay-lock tracking loop for DS-spread-spectrum signals

    R. de Gaudenzi;M. Luise

  • Optimization of symbol timing recovery for QAM data demodulators

    A.N. D'Andrea;M. Luise

  • Advances in satellite CDMA transmission for mobile and personal communications

    R. De Gaudenzi;F. Giannetti;M. Luise

  • Blind equalization/detection for OFDM signals over frequency-selective channels

    M. Luise;R. Reggiannini;G.M. Vitetta

  • Design and analysis of a jitter-free clock recovery scheme for QAM systems

    N.A. D'Andrea;M. Luise

  • Carrier phase recovery for turbo-coded linear modulations

    V. Lottici;M. Luise

  • Signal recognition and signature code acquisition in CDMA mobile packet communications

    R. De Gaudenzi;F. Giannetti;M. Luise

  • Cramer-Rao bounds in the parametric estimation of fading radiotransmission channels

    F. Gini;M. Luise;R. Reggiannini

  • Adaptive pre- and post-compensation of nonlinear distortions for high-level data Modulations

    L. Giugno;M. Luise;V. Lottici

Frequent Co-Authors

R. De Gaudenzi
R. De Gaudenzi European Space Research and Technology Centre
Luca Sanguinetti
Luca Sanguinetti University of Pisa
H. Vincent Poor
H. Vincent Poor Princeton University
Marc Moeneclaey
Marc Moeneclaey Ghent University
Luc Vandendorpe
Luc Vandendorpe Université Catholique de Louvain
Guido Montorsi
Guido Montorsi Polytechnic University of Turin
Sergio Benedetto
Sergio Benedetto Polytechnic University of Turin
Christian Tschudin
Christian Tschudin University of Basel
Claude Berrou
Claude Berrou IMT Atlantique
Henk Wymeersch
Henk Wymeersch Chalmers University of Technology

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