World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
6806
World Ranking
4490
National Ranking
154

Computer Science

D-Index
40
Citations
6822
World Ranking
9304
National Ranking
266

Luca Mottola 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 Luca Mottola 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: 185 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Luca Mottola 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 Luca Mottola 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: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Overview

Luca Mottola is a researcher affiliated with the Polytechnic University of Milan in Italy. Their work spans multiple disciplines within engineering and computer science, focusing primarily on wireless networks, embedded systems, and localization technologies.

The main fields of study for their research include engineering and computer science. Within these broader areas, their work delves into subfields such as electrical and electronic engineering, computer networks and communications, aerospace engineering, computer vision and pattern recognition, and hardware and architecture.

The research topics frequently addressed by Luca Mottola feature energy harvesting in wireless networks, advanced memory and neural computing, IoT and edge/fog computing, robotics and sensor-based localization, robotic path planning algorithms, green IT and sustainability, as well as cooperative communication and network coding.

Notable recent papers authored or co-authored by Luca Mottola include the following:

  • Synchronous Transmissions in Low-Power Wireless, 2020, ACM Computing Surveys
  • Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • The Internet of Batteryless Things, 2024, Communications of the ACM
  • Indoor Drone Localization and Tracking Based on Acoustic Inertial Measurement, 2023, IEEE Transactions on Mobile Computing
  • Acoustic Localization System for Precise Drone Landing, 2023, IEEE Transactions on Mobile Computing

Luca Mottola has collaborated extensively with several co-authors. Frequent collaborators include Saad Ahmed, Muhammad Hamad Alizai, Thiemo Voigt, Marco Zimmerling, and Y. Z. Sun.

Their publications appear regularly in various venues, with the most frequent including arXiv (Cornell University), Communications of the ACM, ACM Transactions on Embedded Computing Systems, GetMobile Mobile Computing and Communications, and IEEE Transactions on Mobile Computing.

Best Publications

  • Radio link quality estimation in wireless sensor networks: A survey

    Nouha Baccour;Anis Koubâa;Luca Mottola;Marco Antonio Zúñiga

  • Programming wireless sensor networks: Fundamental concepts and state of the art

    Luca Mottola;Gian Pietro Picco

  • Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment

    Matteo Ceriotti;Luca Mottola;Gian Pietro Picco;Amy L. Murphy

  • Low-power wireless bus

    Federico Ferrari;Marco Zimmerling;Luca Mottola;Lothar Thiele

  • The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario

    P. Costa;G. Coulson;R. Gold;M. Lad

  • Logical neighborhoods: a programming abstraction for wireless sensor networks

    Luca Mottola;Gian Pietro Picco

  • Towards lightweight information dissemination in inter-vehicular networks

    Paolo Costa;Davide Frey;Matteo Migliavacca;Luca Mottola

  • Energy Harvesting and Wireless Transfer in Sensor Network Applications: Concepts and Experiences

    Naveed Anwar Bhatti;Muhammad Hamad Alizai;Affan A. Syed;Luca Mottola

  • Not all wireless sensor networks are created equal: A comparative study on tunnels

    Luca Mottola;Gian Pietro Picco;Matteo Ceriotti;Ştefan Gunǎ

  • pTunes: runtime parameter adaptation for low-power MAC protocols

    Marco Zimmerling;Federico Ferrari;Luca Mottola;Thiemo Voigt

  • MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks

    L. Mottola;G. P. Picco

  • TeenyLIME: transiently shared tuple space middleware for wireless sensor networks

    Paolo Costa;Luca Mottola;Amy L. Murphy;Gian Pietro Picco

  • Programming wireless sensor networks with the TeenyLime middleware

    Paolo Costa;Luca Mottola;Amy L. Murphy;Gian Pietro Picco

  • Efficient routing from multiple sources to multiple sinks in wireless sensor networks

    Pietro Ciciriello;Luca Mottola;Gian Pietro Picco

  • HarvOS: efficient code instrumentation for transiently-powered embedded sensing

    Naveed Anwar Bhatti;Luca Mottola

  • A Self-Repairing Tree Topology Enabling Content-Based Routing in Mobile Ad Hoc Networks

    L. Mottola;G. Cugola;G.P. Picco

  • Reconfigurable Component-based Middleware for Networked Embedded Systems

    Paolo Costa;Geoff Coulson;Cecilia Mascolo;Luca Mottola

  • Adaptive Real-Time Communication for Wireless Cyber-Physical Systems

    Marco Zimmerling;Luca Mottola;Pratyush Kumar;Federico Ferrari

  • Making sensornet MAC protocols robust against interference

    Carlo Alberto Boano;Thiemo Voigt;Nicolas Tsiftes;Luca Mottola

  • The announcement layer: beacon coordination for the sensornet stack

    Adam Dunkels;Luca Mottola;Nicolas Tsiftes;Fredrik Österlind

  • Is there light at the ends of the tunnel? Wireless sensor networks for adaptive lighting in road tunnels

    Matteo Ceriotti;Michele Corra;Leandro D'Orazio;Roberto Doriguzzi

Frequent Co-Authors

Gian Pietro Picco
Gian Pietro Picco University of Trento
Amy L. Murphy
Amy L. Murphy Fondazione Bruno Kessler
Lothar Thiele
Lothar Thiele ETH Zurich
Carlo Ghezzi
Carlo Ghezzi Polytechnic University of Milan
Stamatis Karnouskos
Stamatis Karnouskos Systems, Applications & Products in Data Processing (Germany)
Kay Römer
Kay Römer Graz University of Technology
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Kamin Whitehouse
Kamin Whitehouse University of Virginia
Paolo Costa
Paolo Costa Microsoft (United States)
Cecilia Mascolo
Cecilia Mascolo University of Cambridge

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