World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
4904
World Ranking
10381
National Ranking
317

Cristina Silvano 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 Cristina Silvano 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Cristina Silvano 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 Cristina Silvano 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: 38 D-Index — 30th percentile

30% 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

  • 2017 - IEEE Fellow For contributions to energy-efficient computer architectures

Overview

Cristina Silvano is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Within these areas, they have focused on several subfields such as Molecular Biology, Electrical and Electronic Engineering, Hardware and Architecture, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

The scientist's main topics of research include Parallel Computing and Optimization Techniques, Computational Drug Discovery Methods, Advanced Memory and Neural Computing, Advanced Neural Network Applications, Bioinformatics and Genomic Networks, Protein Structure and Dynamics, and Protein Degradation and Inhibitors.

Cristina Silvano has contributed to multiple academic papers over recent years. Notable publications include:

  • A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms, 2023, arXiv (Cornell University)
  • A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms, 2025, ACM Computing Surveys

Other related works where Silvano was not the primary author but connected to their research area include:

  • EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2, 2022, IEEE Transactions on Emerging Topics in Computing
  • Pegasus: Performance Engineering for Software Applications Targeting HPC Systems, 2020, IEEE Transactions on Software Engineering
  • Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, 2021, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

The frequent co-authors collaborating with Cristina Silvano include Davide Gadioli, Gianluca Palermo, Emanuele Vitali, Andrea R. Beccari, and Carlo Cavazzoni.

Publication venues where Cristina Silvano has most often appeared are:

  • arXiv (Cornell University)
  • ACM Computing Surveys
  • IEEE Transactions on Emerging Topics in Computing
  • IEEE Transactions on Software Engineering
  • Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

In addition to journal articles, Cristina Silvano has contributed to book publications, including a title under Springer Science+Business Media: "Embedded Computer Systems: Architectures, Modeling, and Simulation" published in 2023.

Award recognition includes being named an IEEE Fellow in 2017 for contributions to energy-efficient computer architectures.

Best Publications

  • Asymptotic zero-transition activity encoding for address busses in low-power microprocessor-based systems

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • A Survey on Compiler Autotuning using Machine Learning

    Amir H. Ashouri;William Killian;John Cavazos;Gianluca Palermo

  • Address bus encoding techniques for system-level power optimization

    L. Benini;G. De Micheli;E. Macii;D. Sciuto

  • ReSPIR: A Response Surface-Based Pareto Iterative Refinement for Application-Specific Design Space Exploration

    G. Palermo;C. Silvano;V. Zaccaria

  • Secure Memory Accesses on Networks-on-Chip

    L. Fiorin;G. Palermo;S. Lukovic;V. Catalano

  • A Power Modeling and Estimation Framework for VLIW-based Embedded Systems

    L. Benini;D. Bruni;M. Chinosi;C. Silvano

  • Exploration of distributed shared memory architectures for NoC-based multiprocessors

    Matteo Monchiero;Gianluca Palermo;Cristina Silvano;Oreste Villa

  • Multi-objective design space exploration of embedded systems

    Gianluca Palermo;Cristina Silvano;Vittorio Zaccaria

  • MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning

    Amir H. Ashouri;Andrea Bignoli;Gianluca Palermo;Cristina Silvano

  • Power estimation of embedded systems: a hardware/software codesign approach

    W. Fornaciari;P. Gubian;D. Sciuto;C. Silvano

  • A security monitoring service for NoCs

    Leandro Fiorin;Gianluca Palermo;Cristina Silvano

  • MULTICUBE: Multi-objective Design Space Exploration of Multi-core Architectures

    C. Silvano;W. Fornaciari;G. Palermo;V. Zaccaria

  • COBAYN: Compiler Autotuning Framework Using Bayesian Networks

    Amir Hossein Ashouri;Giovanni Mariani;Gianluca Palermo;Eunjung Park

  • Power optimization of system-level address buses based on software profiling

    W. Fornaciari;M. Polentarutti;D. Sciuto;C. Silvano

  • PIRATE: A Framework for Power/Performance Exploration of Network-on-Chip Architectures

    Gianluca Palermo;Cristina Silvano

  • An instruction-level energy model for embedded VLIW architectures

    M. Sami;D. Sciuto;C. Silvano;V. Zaccaria

  • Power estimation for architectural exploration of HW/SW communication on system-level buses

    William Fornaciari;Donatella Sciuto;Christina Silvano

  • An industrial design space exploration framework for supporting run-time resource management on multi-core systems

    G. Mariani;P. Avasare;G. Vanmeerbeeck;C. Ykman-Couvreur

  • Energy estimation and optimization of embedded VLIW processors based on instruction clustering

    A. Bona;M. Sami;D. Sciuto;C. Silvano

  • Efficient Synchronization for Embedded On-Chip Multiprocessors

    M. Monchiero;G. Palermo;C. Silvano;O. Villa

Frequent Co-Authors

Gianluca Palermo
Gianluca Palermo Polytechnic University of Milan
Donatella Sciuto
Donatella Sciuto Polytechnic University of Milan
Luca Benini
Luca Benini ETH Zurich
Koen Bertels
Koen Bertels Delft University of Technology
Dimitrios Soudris
Dimitrios Soudris National Technical University of Athens
Gerd Ascheid
Gerd Ascheid RWTH Aachen University
Petri Mahonen
Petri Mahonen Aalto University
Enrico Macii
Enrico Macii Polytechnic University of Turin
Heinrich Meyr
Heinrich Meyr RWTH Aachen University

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