World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
8260
World Ranking
3873
National Ranking
61

Computer Science

D-Index
43
Citations
8312
World Ranking
7954
National Ranking
56

Carlo Fischione 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 Carlo Fischione 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: 325 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Carlo Fischione 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 Carlo Fischione 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: 43 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Overview

Carlo Fischione is affiliated with the Royal Institute of Technology in Sweden. Their research spans multiple domains within engineering and computer science, particularly focusing on electrical and electronic engineering as well as computer networks and communications.

The scientist has contributed extensively to fields such as advanced MIMO systems optimization, privacy-preserving technologies in data, and energy-efficient wireless sensor networks. Other notable research areas include distributed sensor networks and detection algorithms, energy harvesting in wireless networks, advanced wireless communication technologies, and stochastic gradient optimization techniques.

Frequent coauthors in their collaboration network include Saeed Razavikia, José Mairton B. da Silva, Gábor Fodor, Henrik Hellström, and Hossein Shokri-Ghadikolaei, reflecting a strong collaborative research environment.

Carlo Fischione's body of work is often published in venues such as arXiv (Cornell University), IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Transactions on Communications, and IEEE Communications Letters. These publications cover significant contributions to wireless communications and internet of things research.

Recent papers authored by the scientist include:

  • The Internet of Audio Things: State of the Art, Vision, and Challenges (2020, IEEE Internet of Things Journal)
  • The Internet of Sounds: Convergent Trends, Insights, and Future Directions (2023, IEEE Internet of Things Journal)
  • Elk Audio OS (2021, ACM Transactions on Internet of Things)
  • 1-bit Phase Shifters for Large-Antenna Full-Duplex mmWave Communications (2020, IEEE Transactions on Wireless Communications)
  • A Review of Reinforcement Learning for Controlling Building Energy Systems From a Computer Science Perspective (2022, Sustainable Cities and Society)

Best Publications

  • Millimeter Wave Cellular Networks: A MAC Layer Perspective

    Hossein Shokri-Ghadikolaei;Carlo Fischione;Gabor Fodor;Petar Popovski

  • A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

    Christos Laoudias;Adriano Moreira;Sunwoo Kim;Sangwoo Lee

  • Wireless Network Design for Control Systems: A Survey

    Pangun Park;Sinem Coleri Ergen;Carlo Fischione;Chenyang Lu

  • A generalized Markov chain model for effective analysis of slotted IEEE 802.15.4

    Pangun Park;Piergiuseppe Di Marco;Pablo Soldati;Carlo Fischione

  • The Sensable City: A Survey on the Deployment and Management for Smart City Monitoring

    Rong Du;Paolo Santi;Ming Xiao;Athanasios V. Vasilakos

  • Internet of Musical Things: Vision and Challenges

    Luca Turchet;Carlo Fischione;Georg Essl;Damian Keller

  • A Distributed Approach for the Optimal Power-Flow Problem Based on ADMM and Sequential Convex Approximations

    Sindri Magnusson;Pradeep Chathuranga Weeraddana;Carlo Fischione

  • Modeling and Optimization of the IEEE 802.15.4 Protocol for Reliable and Timely Communications

    Pangun Park;P. Di Marco;C. Fischione;K. H. Johansson

  • Beam-searching and transmission scheduling in millimeter wave communications

    Hossein Shokri-Ghadikolaei;Lazaros Gkatzikis;Carlo Fischione

  • Low-Latency Networking: Where Latency Lurks and How to Tame It

    Xiaolin Jiang;Hossein Shokri-Ghadikolaei;Gabor Fodor;Eytan Modiano

  • Distributed and Collaborative Estimation over Wireless Sensor Networks

    A. Speranzon;C. Fischione;K.H. Johansson

  • Optimizing client association for load balancing and fairness in millimeter-wave wireless networks

    George Athanasiou;Pradeep Chathuranga Weeraddana;Carlo Fischione;Leandros Tassiulas

  • On the Convergence of Alternating Direction Lagrangian Methods for Nonconvex Structured Optimization Problems

    Sindri Magnusson;Pradeep Chathuranga Weeraddana;Michael G. Rabbat;Carlo Fischione

  • Breath: An Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks

    Pangun Park;Carlo Fischione;A Bonivento;Karl H Johansson

  • A distributed minimum variance estimator for sensor networks

    A. Speranzon;C. Fischione;K.H. Johansson;A. Sangiovanni-Vincentelli

  • Spectrum Pooling in MmWave Networks: Opportunities, Challenges, and Enablers

    Federico Boccardi;Hossein Shokri-Ghadikolaei;Gabor Fodor;Elza Erkip

  • Adaptive IEEE 802.15.4 protocol for energy efficient, reliable and timely communications

    Pangun Park;Carlo Fischione;Karl Henrik Johansson

  • Spectrum Sharing in mmWave Cellular Networks via Cell Association, Coordination, and Beamforming

    Hossein Shokri-Ghadikolaei;Federico Boccardi;Carlo Fischione;Gabor Fodor

  • System Level Design for Clustered Wireless Sensor Networks

    A. Bonivento;C. Fischione;L. Necchi;F. Pianegiani

  • Analytical Modeling of Multi-hop IEEE 802.15.4 Networks

    P. Di Marco;Pangun Park;C. Fischione;K. H. Johansson

  • Low-latency Networking: Where Latency Lurks and How to Tame It

    Xiaolin Jiang;Hossein S. Ghadikolaei;Gabor Fodor;Eytan Modiano

Frequent Co-Authors

Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Gabor Fodor
Gabor Fodor Ericsson (Sweden)
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Ming Xiao
Ming Xiao Royal Institute of Technology
Na Li
Na Li Harvard University
Zhibo Pang
Zhibo Pang Royal Institute of Technology
Fabio Graziosi
Fabio Graziosi University of L'Aquila
Vahid Tarokh
Vahid Tarokh Duke University
Michele Zorzi
Michele Zorzi University of Padua

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Related Online Degrees & Career Pathways

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Additionally, competency-based online colleges offer a tailored learning experience, focusing on mastering specific skills important to engineering professions. This approach allows students to progress at their own pace, often resulting in faster degree completion and job readiness.

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