World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
34
Citations
5679
World Ranking
5743
National Ranking
68

Nicola Calabretta publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Nicola Calabretta sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 556 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Nicola Calabretta D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Nicola Calabretta sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 34 D-Index — 18th percentile

18% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Nicola Calabretta is affiliated with the Eindhoven University of Technology in the Netherlands. Their research primarily lies within the broad field of engineering, with a particular focus on electrical and electronic engineering.

The core areas of Calabretta's academic inquiry include:

  • Optical Network Technologies
  • Photonic and Optical Devices
  • Advanced Photonic Communication Systems
  • Advanced Optical Network Technologies
  • Semiconductor Lasers and Optical Devices
  • Software-Defined Networks and 5G
  • Interconnection Networks and Systems

The scientist has contributed extensively to a number of subfields, among which are:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Information Systems
  • Atomic and Molecular Physics, and Optics

Nicola Calabretta has published numerous papers, notably in venues that specialize in photonics, optical communications, and related technologies. Frequent publication venues include:

  • Journal of Lightwave Technology
  • Journal of Optical Communications and Networking
  • IET conference proceedings
  • Optics Letters
  • Conference on Lasers and Electro-Optics

Among some recent papers are:

  • Assessment on the Achievable Throughput of Multi-Band ITU-T G.652.D Fiber Transmission Systems, 2020, Journal of Lightwave Technology
  • Nanosecond optical switching and control system for data center networks, 2022, Nature Communications
  • ROTOS: A Reconfigurable and Cost-Effective Architecture for High-Performance Optical Data Center Networks, 2020, Journal of Lightwave Technology
  • InP photonic integrated multi-layer neural networks: Architecture and performance analysis, 2021, APL Photonics
  • Highly-Efficient Switch Migration for Controller Load Balancing in Elastic Optical Inter-Datacenter Networks, 2021, IEEE Journal on Selected Areas in Communications

Nicola Calabretta has collaborated frequently with several co-authors, including:

  • K.A. Williams
  • Xuwei Xue
  • Bitao Pan
  • Fulong Yan
  • Netsanet Tessema

The research contributions of Nicola Calabretta show a strong orientation toward advancing the capabilities and efficiency of optical networks and photonic systems, with involvement in emerging technologies such as software-defined networks and artificial intelligence within communication systems.

Best Publications

  • Optical packet switching and buffering by using all-optical signal processing methods

    H.J.S. Dorren;M.T. Hill;Y. Liu;N. Calabretta

  • Assessment on the Achievable Throughput of Multi-Band ITU-T G.652.D Fiber Transmission Systems

    Alessio Ferrari;Antonio Napoli;Johannes K. Fischer;Nelson Costa

  • Wavelength conversion using nonlinear polarization rotation in a single semiconductor optical amplifier

    Y. Liu;M.T. Hill;E. Tangdiongga;H. de Waardt

  • 1x2 optical packet switch using all-optical header processing

    Martin Hill;A. Srivatsa;N. Calabretta;Y. Liu

  • Deep Neural Network Through an InP SOA-Based Photonic Integrated Cross-Connect

    Bin Shi;Nicola Calabretta;Ripalta Stabile

  • Optical signal processing based on self-induced polarization rotation in a semiconductor optical amplifier

    N. Calabretta;Y. Liu;F.M. Huijskens;M.T. Hill

  • Nanosecond optical switching and control system for data center networks

    Unknown

  • All-optical packet/circuit switching-based data center network for enhanced scalability, latency, and throughput

    Jordi Perelló;Salvatore Spadaro;Sergio Ricciardi;Davide Careglio

  • Novel flat datacenter network architecture based on scalable and flow-controlled optical switch system

    W Wang Miao;J Jun Luo;S Stefano Di Lucente;Hjs Harm Dorren

  • Opsquare: A flat DCN architecture based on flow-controlled optical packet switches

    Fulong Yan;Wang Miao;Oded Raz;Nicola Calabretta

  • InP Photonic Integrated Multi-Layer Neural Networks: Architecture and Performance Analysis

    Unknown

  • Double-stage cross-gain modulation in SOAs: an effective technique for WDM multicasting

    G. Contestabile;N. Calabretta;R. Proietti;E. Ciaramella

  • Lightness: A Function-Virtualizable Software Defined Data Center Network With All-Optical Circuit/Packet Switching

    George M. Saridis;Shuping Peng;Yan Yan;Alejandro Aguado

  • Single and multicast wavelength conversion at 40 Gb/s by means of fast nonlinear polarization switching in an SOA

    G. Contestabile;N. Calabretta;M. Presi;E. Ciaramella

  • Towards multiband optical systems

    Antonio Napoli;Nelson Costa;Johannes K. Fischer;João Pedro

  • Cross-Gain Compression in Semiconductor Optical Amplifiers

    G. Contestabile;R. Proietti;N. Calabretta;E. Ciaramella

  • Towards Petabit/s All-Optical Flat Data Center Networks Based on WDM Optical Cross-Connect Switches with Flow Control

    W Wang Miao;F Fulong Yan;N Nicola Calabretta

  • SDN-enabled OPS with QoS guarantee for reconfigurable virtual data center networks

    Wang Miao;Fernando Agraz;Shuping Peng;Salvatore Spadaro

  • HiFOST: a scalable and low-latency hybrid data center network architecture based on flow-controlled fast optical switches

    Fulong Yan;Xuwei Xue;Nicola Calabretta

  • ROTOS: A Reconfigurable and Cost-Effective Architecture for High-Performance Optical Data Center Networks

    Xuwei Xue;Fulong Yan;Kristif Prifti;Fu Wang

  • Ultrafast asynchronous multioutput all-optical header processor

    N. Calabretta;H. de Waardt;G.D. Khoe;H.J.S. Dorren

  • Three-state all-optical memory based on coupled ring lasers

    Y. Liu;M.T. Hill;N. Calabretta;H. de Waardt

  • Novel flat datacenter network architecture based on scalable and flow-controlled optical switch system

    S. Di Lucente;N. Calabretta;Jun Luo;H. Dorren

Frequent Co-Authors

Ernesto Ciaramella
Ernesto Ciaramella Sant'Anna School of Advanced Studies
H. de Waardt
H. de Waardt Eindhoven University of Technology
GD Giok-Djan Khoe
GD Giok-Djan Khoe Eindhoven University of Technology
MT Martin Hill
MT Martin Hill University of Western Australia
Roberto Proietti
Roberto Proietti Polytechnic University of Turin
MK Meint Smit
MK Meint Smit Eindhoven University of Technology
A.M.J. Koonen
A.M.J. Koonen Eindhoven University of Technology
Antonella Bogoni
Antonella Bogoni Sant'Anna School of Advanced Studies
Dimitra Simeonidou
Dimitra Simeonidou University of Bristol
H.J.S. Dorren
H.J.S. Dorren Eindhoven University of Technology

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