World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5380
World Ranking
13480
National Ranking
648

Gianluigi Liva 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 Gianluigi Liva 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: 270 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Gianluigi Liva 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 Gianluigi Liva 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Gianluigi Liva is affiliated with the German Aerospace Center in Germany, contributing extensively to research in computer science and engineering. Their work predominantly spans computer networks and communications as well as electrical and electronic engineering, with additional involvement in molecular biology, infectious diseases, and artificial intelligence.

The main research topics covered by Liva include:

  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques
  • Cooperative Communication and Network Coding
  • IoT Networks and Protocols
  • Age of Information Optimization
  • Advanced Wireless Communication Technologies
  • SARS-CoV-2 detection and testing

They have contributed multiple research papers over the years, some of the recent publications being:

  • "White Paper on Critical and Massive Machine Type Communication Towards 6G," 2020, arXiv (Cornell University)
  • "Semantic Communications in Networked Systems: A Data Significance Perspective," 2022, IEEE Network
  • "Machine type communications: key drivers and enablers towards the 6G era," 2021, EURASIP Journal on Wireless Communications and Networking
  • "Trends in Channel Coding for 6G," 2024, Proceedings of the IEEE
  • "The Dynamic Behavior of Frameless ALOHA: Drift Analysis, Throughput, and Age of Information," 2023, IEEE Transactions on Communications

Frequent publication venues for Liva's work include:

  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • IEEE Transactions on Information Theory
  • elib (German Aerospace Center)
  • IEEE Communications Letters

Collaboration is notable in Liva's career, with frequent co-authors such as:

  • Hannes Bartz
  • Andrea Munari
  • Emna Ben Yacoub
  • Alexandre Graell i Amat
  • Enrico Paolini

In addition to articles, Liva has contributed to academic publishing through books, including a publication with Springer Science+Business Media titled "Code-Based Cryptography" in 2022.

Best Publications

  • Graph-Based Analysis and Optimization of Contention Resolution Diversity Slotted ALOHA

    G Liva

  • Coded Slotted ALOHA: A Graph-Based Method for Uncoordinated Multiple Access

    Enrico Paolini;Gianluigi Liva;Marco Chiani

  • Protograph LDPC Codes Design Based on EXIT Analysis

    G. Liva;M. Chiani

  • Coded random access: applying codes on graphs to design random access protocols

    Enrico Paolini;Cedomir Stefanovic;Gianluigi Liva;Petar Popovski

  • White paper on critical and massive machine type communication towards 6G

    N.H. Mahmood;S. Böcker;A. Munari;F. Clazzer

  • Efficient error-correcting codes in the short blocklength regime

    Mustafa Cemil Coskun;Mustafa Cemil Coskun;Giuseppe Durisi;Thomas Jerkovits;Gianluigi Liva

  • Quasi-Cyclic Generalized LDPC Codes With Low Error Floors

    Gianluigi Liva;William E. Ryan;Marco Chiani

  • Code Design for Short Blocks: A Survey.

    Gianluigi Liva;Lorenzo Gaudio;Tudor Ninacs;Thomas Jerkovits

  • High Throughput Random Access via Codes on Graphs: Coded Slotted ALOHA

    Enrico Paolini;Gianluigi Liva;Marco Chiani

  • Design of LDPC Codes: A Survey and New Results

    Gianluigi Liva;Shumei Song;Lan Lan;Yifei Zhang

  • Coded Slotted ALOHA: A Graph-Based Method for Uncoordinated Multiple Access

    Enrico Paolini;Gianluigi Liva;Marco Chiani

  • Non-Linear Interference Mitigation for Broadband Multimedia Satellite Systems

    M.A. Diaz;N. Courville;C. Mosquera;G. Liva

  • Machine type communications: key drivers and enablers towards the 6G era

    Nurul Huda Mahmood;Stefan Böcker;Ingrid Moerman;Onel L. Alcaraz López

  • Reliability Options for Data Communications in the Future Deep-Space Missions

    T. de Cola;E. Paolini;G. Liva;G. P. Calzolari

  • Performance versus overhead for fountain codes over F q

    G. Liva;E. Paolini;M. Chiani

  • Short Packets Over Block-Memoryless Fading Channels: Pilot-Assisted or Noncoherent Transmission?

    Johan Ostman;Giuseppe Durisi;Erik G. Strom;Mustafa C. Coskun

  • Short Turbo Codes over High Order Fields

    G. Liva;E. Paolini;B. Matuz;S. Scalise

  • Modern Random Access Protocols

    Matteo Berioli;Giuseppe Cocco;Gianluigi Liva;Andrea Munari

  • Maximum Likelihood Erasure Decoding of LDPC Codes: Pivoting Algorithms and Code Design

    E. Paolini;G. Liva;B. Matuz;M. Chiani

  • Spatially-coupled random access on graphs

    Gianluigi Liva;Enrico Paolini;Michael Lentmaier;Marco Chiani

  • Finite-Length Analysis of Irregular Repetition Slotted ALOHA in the Waterfall Region

    Alexandre Graell i Amat;Gianluigi Liva

  • Protograph-Based LDPC Code Design for Shaped Bit-Metric Decoding

    Fabian Steiner;Georg Bocherer;Gianluigi Liva

  • Generalized IRA Erasure Correcting Codes for Hybrid Iterative/Maximum Likelihood Decoding

    E. Paolini;G. Liva;B. Matuz;M. Chiani

  • International Journal of Satellite Communications and Networking

    Unknown

  • Coded Random Access: How Coding Theory Helps to Build Random Access Protocols.

    Enrico Paolini;Cedomir Stefanovic;Gianluigi Liva;Petar Popovski

  • From 5G to 6G: Has the Time for Modern Random Access Come?

    Federico Clazzer;Andrea Munari;Gianluigi Liva;Francisco Lazaro Blasco

Frequent Co-Authors

Marco Chiani
Marco Chiani University of Bologna
Giuseppe Durisi
Giuseppe Durisi Chalmers University of Technology
William E. Ryan
William E. Ryan Zeta Associates
Michael Lentmaier
Michael Lentmaier Lund University
Gerhard Bauch
Gerhard Bauch Hamburg University of Technology
Soung Chang Liew
Soung Chang Liew Chinese University of Hong Kong
Cedomir Stefanovic
Cedomir Stefanovic Aalborg University
Giovanni Emanuele Corazza
Giovanni Emanuele Corazza University of Bologna
Erik G. Ström
Erik G. Ström Chalmers University of Technology
Petar Popovski
Petar Popovski Aalborg University

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