World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5908
World Ranking
12977
National Ranking
454

Marco Di Natale 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 Di Natale 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: 217 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Marco Di Natale 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 Di Natale 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Marco Di Natale is affiliated with the Sant'Anna School of Advanced Studies in Italy. Their research contributions primarily focus on computer science, with an emphasis on hardware and architecture, computer networks and communications, computational theory and mathematics, safety, risk, reliability and quality, and software.

The main topics of their work include:

  • Real-Time Systems Scheduling
  • Embedded Systems Design Techniques
  • Distributed Systems and Fault Tolerance
  • Petri Nets in System Modeling
  • Parallel Computing and Optimization Techniques
  • Formal Methods in Verification
  • Safety Systems Engineering in Autonomy

Marco Di Natale has published in several scientific venues, notably:

  • Journal of Systems Architecture
  • ACM Transactions on Embedded Computing Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Computers
  • Proceedings of the International Symposium on Combinatorial Search

Among their recent papers are:

  • "Optimized partitioning and priority assignment of real-time applications on heterogeneous platforms with hardware acceleration," published in 2022 in the Journal of Systems Architecture
  • "Optimizing Inter-Core Communications Under the LET Paradigm using DMA Engines," published in 2022 in IEEE Transactions on Computers
  • "Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks," published in 2020 in ACM Transactions on Embedded Computing Systems
  • "Multi-criteria Optimization of Real-time DAGs on Heterogeneous Platforms under P-EDF," published in 2023 in ACM Transactions on Embedded Computing Systems
  • "Introduction to the special issues on embedded systems in applied computing," published in 2020 in Journal of Systems Architecture

Frequent collaborators include:

  • P Pazzaglia
  • Daniel Casini
  • Alessandro Biondi
  • Youcheng Sun
  • Tommaso Cucinotta

Best Publications

  • Implications of classical scheduling results for real-time systems

    J.A. Stankovic;M. Spuri;M. Di Natale;G.C. Buttazzo

  • Minimizing memory utilization of real-time task sets in single and multi-processor systems-on-a-chip

    P. Gai;G. Lipari;M. Di Natale

  • Embedded System Design for Automotive Applications

    A. Sangiovanni-Vincentelli;M. Di Natale

  • Understanding and Using the Controller Area Network Communication Protocol: Theory and Practice

    Marco Di Natale;Haibo Zeng;Paolo Giusto;Arkadeb Ghosal

  • Moving From Federated to Integrated Architectures in Automotive: The Role of Standards, Methods and Tools

    M. Di Natale;A.L. Sangiovanni-Vincentelli

  • Dynamic end-to-end guarantees in distributed real time systems

    Unknown

  • Sensitivity analysis for fixed-priority real-time systems

    Enrico Bini;Marco Di Natale;Giorgio Buttazzo

  • Period optimization for hard real-time distributed automotive systems

    A. Davare;Qi Zhu;M. Di Natale;C. Pinello

  • A comparison of MPCP and MSRP when sharing resources in the Janus multiple-processor on a chip platform

    P. Gai;M. Di Natale;G. Lipari;A. Ferrari

  • Mixed Criticality Systems—A History of Misconceptions?

    Rolf Ernst;Marco Di Natale

  • Schedule Optimization of Time-Triggered Systems Communicating Over the FlexRay Static Segment

    Haibo Zeng;M Di Natale;A Ghosal;A Sangiovanni-Vincentelli

  • Implementing Synchronous Models on Loosely Time Triggered Architectures

    S. Tripakis;C. Pinello;A. Benveniste;A. Sangiovanni-Vincent

  • Rendezvous Planning in Mobility-Assisted Wireless Sensor Networks

    Guoliang Xing;Tian Wang;Zhihui Xie;Weijia Jia

  • Optimization of task allocation and priority assignment in hard real-time distributed systems

    Qi Zhu;Haibo Zeng;Wei Zheng;Marco Di Natale

  • Sensitivity analysis for fixed-priority real-time systems

    E. Bini;M. Di Natale;G. Buttazzo

  • Stochastic Analysis of CAN-Based Real-Time Automotive Systems

    Haibo Zeng;M. Di Natale;P. Giusto;A. Sangiovanni-Vincentelli

  • Scheduling distributed real-time tasks with minimum jitter

    M. Di Natale;J.A. Stankovic

  • Optimal task rate selection in fixed priority systems

    E. Bini;M. Di Natale

  • Real-time control system analysis: an integrated approach

    L. Palopoli;L. Abeni;G. Buttazzo;F. Conticelli

  • Synthesis of Multitask Implementations of Simulink Models With Minimum Delays

    Marco Di Natale;Liangpeng Guo;Haibo Zeng;Alberto Sangiovanni-Vincentelli

  • Optimizing the Software Architecture for Extensibility in Hard Real-Time Distributed Systems

    Qi Zhu;Yang Yang;M Natale;E Scholte

Frequent Co-Authors

Haibo Zeng
Haibo Zeng Nanjing University of Science and Technology
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Giorgio Buttazzo
Giorgio Buttazzo Sant'Anna School of Advanced Studies
Gianluca Dini
Gianluca Dini University of Pisa
Xue Liu
Xue Liu McGill University
Peter Marwedel
Peter Marwedel TU Dortmund University
Giuseppe Lipari
Giuseppe Lipari University of Lille
Stavros Tripakis
Stavros Tripakis Northeastern University
Rolf Ernst
Rolf Ernst Technische Universität Braunschweig
Anastasios I. Mourikis
Anastasios I. Mourikis University of California, Riverside

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens doors to a range of online degrees and related career options. Those seeking a fast-track route may consider an accelerated cs degree, which allows you to earn your credentials quicker, helping you enter the job market sooner.

If you’re interested in applying your technology skills to sustainability, an environmental engineering degree can combine CS fundamentals with solving critical environmental challenges. Similarly, an online mechanical engineering degree gives you the flexibility to specialize in automation, robotics, or materials science, all while studying remotely.

For those drawn to theory and research, an online theoretical physics degree can deepen your understanding of the universe’s fundamental laws, with interdisciplinary ties to computer modeling and data analysis.

Each of these online pathways provides unique skill sets that can broaden your opportunities in fast-growing technology and engineering fields.

Best Scientists Citing Marco Di Natale

Trending Scientists

Recently Published Articles