World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
3668
World Ranking
6398
National Ranking
292

Computer Science

D-Index
32
Citations
3737
World Ranking
13252
National Ranking
472

Enzo Baccarelli 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 Enzo Baccarelli 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: 173 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Enzo Baccarelli 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 Enzo Baccarelli 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Enzo Baccarelli is affiliated with Sapienza University of Rome in Italy. Their research primarily lies within the fields of Computer Science and Medicine, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

The scientist has published extensively on topics such as COVID-19 diagnosis using AI, Anomaly Detection Techniques and Applications, IoT and Edge/Fog Computing, AI applications in cancer detection, Age of Information Optimization, Advanced Neural Network Applications, and Privacy-Preserving Technologies in Data.

Frequent coauthors of Enzo Baccarelli include Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi, Lorenzo Piazzo, and Simone Scardapane.

Key recent publications by Enzo Baccarelli include:

  • Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms, 2021, IEEE Access
  • Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications, 2020, Information Sciences
  • AFAFed-Asynchronous Fair Adaptive Federated learning for IoT stream applications, 2022, Computer Communications

Other notable recent works in related fields by coauthors include:

  • A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection, 2021, Expert Systems with Applications
  • An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease, 2021, Computation

Among publication venues where Enzo Baccarelli has contributed frequently are Expert Systems with Applications, Applied Sciences, The Journal of Supercomputing, arXiv (Cornell University), and IEEE Access.

Best Publications

  • Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

    Enzo Baccarelli;Paola G. Vinueza Naranjo;Michele Scarpiniti;Mohammad Shojafar

  • Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services

    Mohammad Shojafar;Nicola Cordeschi;Enzo Baccarelli

  • P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

    Paola G. Naranjo;Mohammad Shojafar;Habib Mostafaei;Zahra Pooranian

  • Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

    Enzo Baccarelli;Nicola Cordeschi;Alessandro Mei;Massimo Panella

  • Why should we add early exits to neural networks

    Simone Scardapane;Michele Scarpiniti;Enzo Baccarelli;Aurelio Uncini

  • Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems

    E. Baccarelli;A. Fasano;M. Biagi

  • Distributed and adaptive resource management in Cloud-assisted Cognitive Radio Vehicular Networks with hard reliability guarantees

    Nicola Cordeschi;Danilo Amendola;Mohammad Shojafar;Enzo Baccarelli

  • Energy-saving self-configuring networked data centers

    Nicola Cordeschi;Mohammad Shojafar;Enzo Baccarelli

  • Reliable Adaptive Resource Management for Cognitive Cloud Vehicular Networks

    Nicola Cordeschi;Danilo Amendola;Enzo Baccarelli

  • Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

    Paola Gabriela Vinueza Naranjo;Enzo Baccarelli;Michele Scarpiniti

  • A novel approach to in-band interference mitigation in ultra wideband radio systems

    E. Baccarelli;M. Biagi;L. Taglione

  • Energy-saving adaptive computing and traffic engineering for real-time-service data centers

    Mohammad Shojafar;Nicola Cordeschi;Danilo Amendola;Enzo Baccarelli

  • Optimal integer bit-loading for multicarrier ADSL systems subject to spectral-compatibility limits

    Enzo Baccarelli;Mauro Biagi

  • Combined channel estimation and data detection using soft statistics for frequency-selective fast-fading digital links

    E. Baccarelli;R. Cusani

  • Optimal discrete bit loading for DMT based constrained multicarrier systems

    A. Fasano;G. Di Blasio;E. Baccarelli;M. Biagi

  • Some simple bounds on the symmetric capacity and outage probability for QAM wireless channels with Rice and Nakagami fadings

    E. Baccarelli;A. Fasano

  • FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks

    Mohammad Shojafar;Mohammad Shojafar;Zahra Pooranian;Paola Gabriela Vinueza Naranjo;Enzo Baccarelli

  • Broadband Wireless Access Networks: A Roadmap on Emerging Trends and Standards

    Enzo Baccarelli;Mauro Biagi;Raffaele Bruno;Marco Conti

  • Evaluation of the reliable data rates supported by multiple-antenna coded wireless links for QAM transmissions

    E. Baccarelli

  • Bandwidth Management VMs Live Migration in Wireless Fog Computing for 5G Networks

    Danilo Amendola;Nicola Cordeschi;Enzo Baccarelli

  • EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

    Enzo Baccarelli;Michele Scarpiniti;Alireza Momenzadeh

  • Recursive Kalman-type optimal estimation and detection of hidden Markov chains

    Enzo Baccarelli;Roberto Cusani

  • Stochastic traffic engineering for real-time applications over wireless networks

    Nicola Cordeschi;Tatiana Patriarca;Enzo Baccarelli

Frequent Co-Authors

Stefano Galli
Stefano Galli Peraton Labs
Mohammad Shojafar
Mohammad Shojafar University of Surrey
Aurelio Uncini
Aurelio Uncini Sapienza University of Rome
Maria Sabrina Sarto
Maria Sabrina Sarto Sapienza University of Rome
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Romano Fantacci
Romano Fantacci University of Florence
Enrico Gregori
Enrico Gregori National Research Council (CNR)
Ajith Abraham
Ajith Abraham Sai University
Marco Conti
Marco Conti National Research Council (CNR)

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