World's Best Scientists 2026 revealed!
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Computer Science
Spain
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
11444
World Ranking
2283
National Ranking
22

Computer Science

D-Index
54
Citations
11652
World Ranking
4566
National Ranking
59

Pietro Manzoni 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 Pietro Manzoni 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: 417 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Pietro Manzoni 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 Pietro Manzoni 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: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

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

Overview

Pietro Manzoni is affiliated with the Universitat Politècnica de València in Spain. Their research focuses primarily on areas within Computer Science and Engineering, with notable work in the subfields of Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their scholarly output includes publications in several fields, with main topics covering UAV Applications and Optimization, Opportunistic and Delay-Tolerant Networks, IoT and Edge/Fog Computing, IoT Networks and Protocols, Human Mobility and Location-Based Analysis, Software-Defined Networks and 5G, and Robotic Path Planning Algorithms.

Recent papers authored or coauthored by Pietro Manzoni are:

  • Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19 (2020, IEEE Access)
  • Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain (2020, IET Smart Cities)
  • Evaluating the Effectiveness of COVID-19 Bluetooth-Based Smartphone Contact Tracing Applications (2020, Applied Sciences)
  • MQTT-ST: A Spanning Tree Protocol for Distributed MQTT Brokers (2020, Virtual Community of Pathological Anatomy, University of Castilla La Mancha)
  • BORDER: A Benchmarking Framework for Distributed MQTT Brokers (2022, IEEE Internet of Things Journal)

Frequent coauthors collaborating with Pietro Manzoni include Carlos T. Calafate, Juan-Carlos Cano, José M. Cecilia, Enrique Hernández-Orallo, and Babu R. Dawadi.

The scientist publishes regularly in venues such as Electronics, SSRN Electronic Journal, arXiv (Cornell University), IEEE Access, and Sensors.

Best Publications

  • A survey and comparative study of simulators for vehicular ad hoc networks (VANETs)

    Francisco J. Martinez;Chai Keong Toh;Juan-Carlos Cano;Carlos T. Calafate

  • Routing mechanisms for mobile ad hoc networks based on the energy drain rate

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.-C. Cano

  • Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks

    F J Martinez;Chai-Keong Toh;Juan-Carlos Cano;C T Calafate

  • Providing accident detection in vehicular networks through OBD-II devices and Android-based smartphones

    Jorge Zaldivar;Carlos T. Calafate;Juan Carlos Cano;Pietro Manzoni

  • Review: An overview of vertical handover techniques: Algorithms, protocols and tools

    Johann Márquez-Barja;Carlos T. Calafate;Juan-Carlos Cano;Pietro Manzoni

  • A performance comparison of energy consumption for Mobile Ad Hoc Network routing protocols

    J.-C. Cano;P. Manzoni

  • ANEJOS: a java based simulator for ad hoc networks

    Miguel Sánchez;Pietro Manzoni

  • CityMob: A Mobility Model Pattern Generator for VANETs

    F.J. Martinez;J.-C. Cano;C.T. Calafate;P. Manzoni

  • Determination of Critical Transmission Range in Ad-Hoc Networks

    Miguel Sánchez;Pietro Manzoni;Zygmunt J. Haas

  • HOP: achieving efficient anonymity in MANETs by combining HIP, OLSR, and pseudonyms

    Javier Campos;Carlos T. Calafate;Marga Nácher;Pietro Manzoni

  • Trust Management for Vehicular Networks: An Adversary-Oriented Overview

    Chaker Abdelaziz Kerrache;Carlos T. Calafate;Juan-Carlos Cano;Nasreddine Lagraa

  • Power-aware routing based on the energy drain rate for mobile ad hoc networks

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.C. Cano

  • A comparative evaluation of AMQP and MQTT protocols over unstable and mobile networks

    Jorge E. Luzuriaga;Miguel Perez;Pablo Boronat;Juan Carlos Cano

  • DTN Protocols for Vehicular Networks: An Application Oriented Overview

    Sergio M. Tornell;Carlos T. Calafate;Juan-Carlos Cano;Pietro Manzoni

  • Road Side Unit Deployment: A Density-Based Approach

    J. Barrachina;P. Garrido;M. Fogue;Francisco J. Martinez

  • Automatic Accident Detection: Assistance Through Communication Technologies and Vehicles

    M. Fogue;P. Garrido;F. J. Martinez;J. Cano

  • A Location-Aware Waypoint-Based Routing Protocol for Airborne DTNs in Search and Rescue Scenarios.

    Armir Bujari;Carlos Miguel Tavares De Araujo Cesariny Calafate;Juan-Carlos Cano;Pietro Manzoni

  • Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19

    Enrique Hernández-Orallo;Pietro Manzoni;Carlos Miguel Tavares De Araujo Cesariny Calafate;Juan-Carlos Cano

  • Improving Selfish Node Detection in MANETs Using a Collaborative Watchdog

    Enrique Hernandez-Orallo;M. D. Serrat;J. Cano;C. T. Calafate

  • Flying ad-hoc network application scenarios and mobility models:

    Armir Bujari;Carlos Miguel Tavares de Araujo Cesariny Calafate;Juan-Carlos Cano;Pietro Manzoni

  • DrivingStyles: A smartphone application to assess driver behavior

    Javier E. Meseguer;Carlos T. Calafate;Juan Carlos Cano;Pietro Manzoni

Frequent Co-Authors

Carlos T. Calafate
Carlos T. Calafate Universitat Politècnica de València
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Dongkyun Kim
Dongkyun Kim Kyungpook National University
Claudio E. Palazzi
Claudio E. Palazzi University of Padua
Katia Obraczka
Katia Obraczka University of California, Santa Cruz
J.J. Garcia-Luna-Aceves
J.J. Garcia-Luna-Aceves University of California, Santa Cruz
Yusheng Ji
Yusheng Ji National Institute of Informatics
Floriano De Rango
Floriano De Rango University of Calabria
Danda B. Rawat
Danda B. Rawat Howard University
Peter Pietzuch
Peter Pietzuch Imperial College London

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