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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
58
Citations
13050
World Ranking
3641
National Ranking
72

Massimo Tornatore 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 Massimo Tornatore 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: 496 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Massimo Tornatore 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 Massimo Tornatore 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: 58 D-Index — 75th percentile

75% 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

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Massimo Tornatore is affiliated with the Polytechnic University of Milan in Italy. Their research primarily spans the fields of Engineering and Computer Science, with a focus on Electrical and Electronic Engineering, Computer Networks and Communications, and Artificial Intelligence.

Their recent publications demonstrate a concentration on networking technologies and advanced communication systems. Selected papers include:

  • Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach (2020) published in IEEE Transactions on Wireless Communications
  • Machine-Learning-Enabled DDoS Attacks Detection in P4 Programmable Networks (2021) published in Journal of Network and Systems Management
  • Cost-Efficient VNF Placement and Scheduling in Public Cloud Networks (2020) published in IEEE Transactions on Communications
  • Disaster resilience of optical networks: State of the art, challenges, and opportunities (2021) published in Optical Switching and Networking
  • Machine learning regression for QoT estimation of unestablished lightpaths (2021) published in Journal of Optical Communications and Networking

The frequent co-authors associated with Massimo Tornatore include:

  • Francesco Musumeci
  • Biswanath Mukherjee
  • Mëmëdhe Ibrahimi
  • Omran Ayoub
  • Sifat Ferdousi

The primary venues where Tornatore publishes research are:

  • Journal of Optical Communications and Networking
  • IEEE Transactions on Network and Service Management
  • arXiv (Cornell University)
  • Journal of Lightwave Technology
  • IEEE Communications Magazine

Their work addresses a range of topics with a concentration on network technologies and communications, including:

  • Advanced Optical Network Technologies
  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Network Security and Intrusion Detection
  • Software System Performance and Reliability

Massimo Tornatore's research contributes across theoretical and applied domains within network design, security, and performance, emphasizing optical communications, resource management in cloud infrastructures, and the integration of machine learning for network optimization.

Best Publications

  • An Overview on Application of Machine Learning Techniques in Optical Networks

    Francesco Musumeci;Cristina Rottondi;Avishek Nag;Irene Macaluso

  • Energy Efficiency in Telecom Optical Networks

    Yi Zhang;Pulak Chowdhury;Massimo Tornatore;Biswanath Mukherjee

  • Optical Network Design With Mixed Line Rates and Multiple Modulation Formats

    A. Nag;M. Tornatore;B. Mukherjee

  • Machine-learning method for quality of transmission prediction of unestablished lightpaths

    Cristina Rottondi;Luca Barletta;Alessandro Giusti;Massimo Tornatore

  • Design of Disaster-Resilient Optical Datacenter Networks

    M. F. Habib;M. Tornatore;M. De Leenheer;F. Dikbiyik

  • Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

    Helin Yang;Zehui Xiong;Jun Zhao;Dusit Niyato

  • Disaster survivability in optical communication networks

    M. Farhan Habib;Massimo Tornatore;Ferhat Dikbiyik;Biswanath Mukherjee

  • Building a Green Wireless-Optical Broadband Access Network (WOBAN)

    Pulak Chowdhury;Massimo Tornatore;Suman Sarkar;Biswanath Mukherjee

  • A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

    Carlos Colman-Meixner;Chris Develder;Massimo Tornatore;Biswanath Mukherjee

  • Optimal BBU Placement for 5G C-RAN Deployment Over WDM Aggregation Networks

    Francesco Musumeci;Camilla Bellanzon;Nicola Carapellese;Massimo Tornatore

  • Minimizing the Risk From Disaster Failures in Optical Backbone Networks

    Ferhat Dikbiyik;Massimo Tornatore;Biswanath Mukherjee

  • A survey of strategies for communication networks to protect against large-scale natural disasters

    Teresa Gomes;Janos Tapolcai;Christian Esposito;David Hutchison

  • 5G fronthaul-latency and jitter studies of CPRI over ethernet

    Divya Chitimalla;Koteswararao Kondepu;Luca Valcarenghi;Massimo Tornatore

  • Availability design of optical transport networks

    M. Tornatore;G. Maier;A. Pattavina

  • A Tutorial on Machine Learning for Failure Management in Optical Networks

    Francesco Musumeci;Cristina Rottondi;Giorgio Corani;Shahin Shahkarami

  • Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks

    Shahin Shahkarami;Francesco Musumeci;Filippo Cugini;Massimo Tornatore

  • Survivable Traffic Grooming in Elastic Optical Networks—Shared Protection

    Menglin Liu;M. Tornatore;B. Mukherjee

  • QoT estimation for unestablished lighpaths using machine learning

    Luca Barletta;Alessandro Giusti;Cristina Rottondi;Massimo Tornatore

  • Energy-Efficient Virtual Base Station Formation in Optical-Access-Enabled Cloud-RAN

    Xinbo Wang;Saigopal Thota;Massimo Tornatore;Hwan Seok Chung

  • Virtual Network Function placement for resilient Service Chain provisioning

    Ali Hmaity;Marco Savi;Francesco Musumeci;Massimo Tornatore

  • Impact of processing costs on service chain placement in network functions virtualization

    Marco Savi;Massimo Tornatore;Giacomo Verticale

  • Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks

    Davide Andreoletti;Sebastian Troia;Francesco Musumeci;Silvia Giordano

Frequent Co-Authors

Biswanath Mukherjee
Biswanath Mukherjee University of California, Davis
Achille Pattavina
Achille Pattavina Polytechnic University of Milan
Charles U. Martel
Charles U. Martel University of California, Davis
Silvia Giordano
Silvia Giordano University of Applied Sciences and Arts of Southern Switzerland
Yoshinari Awaji
Yoshinari Awaji National Institute of Information and Communications Technology
Raouf Boutaba
Raouf Boutaba University of Waterloo
Lena Wosinska
Lena Wosinska Chalmers University of Technology
Dipak Ghosal
Dipak Ghosal University of California, Davis
Yuefeng Ji
Yuefeng Ji Beijing University of Posts and Telecommunications
Darko Zibar
Darko Zibar Technical University of Denmark

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