World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
48
Citations
9840
World Ranking
3057
National Ranking
45

Computer Science

D-Index
49
Citations
10410
World Ranking
5856
National Ranking
38

Mikael Skoglund 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 Mikael Skoglund 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: 612 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Mikael Skoglund 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 Mikael Skoglund 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: 48 D-Index — 56th percentile

56% 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

  • 2019 - IEEE Fellow For contributions to source-channel coding and wireless communications

Overview

Mikael Skoglund is affiliated with the Royal Institute of Technology in Sweden. Their research spans the fields of Computer Science and Engineering, with a particular focus on Artificial Intelligence, Electrical and Electronic Engineering, and Computer Networks and Communications. Their work also touches on Molecular Biology and Control and Systems Engineering on a smaller scale.

The scientist has contributed to several main topics, including Wireless Communication Security Techniques, Privacy-Preserving Technologies in Data, Cryptography and Data Security, Cooperative Communication and Network Coding, Advanced MIMO Systems Optimization, Distributed Sensor Networks and Detection Algorithms, and Stochastic Gradient Optimization Techniques.

Frequent co-authors include Tobias J. Oechtering, Ming Xiao, Amirreza Zamani, H. Vincent Poor, and Photios A. Stavrou.

Mikael Skoglund has published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, and IEEE Transactions on Information Forensics and Security.

Recent papers authored or co-authored by Mikael Skoglund include:

  • Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources, 2022, IEEE Internet of Things Journal
  • Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks, 2020, IEEE Wireless Communications Letters
  • The 'New Urban Science': towards the interdisciplinary and transdisciplinary pursuit of sustainable transformations, 2021, Urban Transformations
  • Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization, 2020, IEEE Transactions on Signal Processing
  • Secure Estimation and Zero-Error Secrecy Capacity, 2020, mediaTUM - the media and publications repository of the Technical University Munich (Technical University Munich)

Mikael Skoglund received the IEEE Fellow award in 2019 for contributions to source-channel coding and wireless communications.

Best Publications

  • Combining beamforming and orthogonal space-time block coding

    G. Jongren;M. Skoglund;B. Ottersten

  • Multiple-User Cooperative Communications Based on Linear Network Coding

    Ming Xiao;Mikael Skoglund

  • Nested Polar Codes for Wiretap and Relay Channels

    M Andersson;V Rathi;R Thobaben;Jörg Kliewer

  • Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks

    Ming Xiao;J. Kliewer;M. Skoglund

  • On the Expected Rate of Slowly Fading Channels With Quantized Side Information

    T.T. Kim;M. Skoglund

  • Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems

    Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund

  • Design of network codes for multiple-user multiple-relay wireless networks

    Ming Xiao;Mikael Skoglund

  • On the capacity of a multiple-antenna communication link with channel side information

    M. Skoglund;G. Jongren

  • Hybrid Digital–Analog Source–Channel Coding for Bandwidth Compression/Expansion

    M. Skoglund;N. Phamdo;F. Alajaji

  • Cognitive radio in a frequency-planned environment: some basic limits

    E. Larsson;M. Skoglund

  • Symmetric private information retrieval for MDS coded distributed storage

    Qiwen Wang;Mikael Skoglund

  • Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT

    T.T. Kim;M. Skoglund

  • Federated Learning over Wireless IoT Networks with Optimized Communication and Resources.

    Hao Chen;Shaocheng Huang;Deyou Zhang;Ming Xiao

  • Quantized feedback information in orthogonal space-time block coding

    G. Jongren;M. Skoglund

  • Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks

    Shaocheng Huang;Yu Ye;Ming Xiao;H. Vincent Poor

  • Robust utilization of feedback information in space-time coding

    George Jöngren;Mikael Skoglund

  • The Capacity of Private Information Retrieval With Eavesdroppers

    Qiwen Wang;Hua Sun;Mikael Skoglund

  • Utilizing quantized feedback information in orthogonal space-time block coding

    G. Jongren;M. Skoglund

  • Polar Codes for Cooperative Relaying

    R. Blasco-Serrano;R. Thobaben;M. Andersson;V. Rathi

  • Throughput Analysis of ARQ Schemes in Gaussian Block Fading Channels

    Peter Larsson;Lars K. Rasmussen;Mikael Skoglund

  • Distributed quantization over noisy channels

    N. Wernersson;J. Karlsson;M. Skoglund

  • Secure symmetric private information retrieval from colluding databases with adversaries

    Qiwen Wang;Mikael Skoglund

Frequent Co-Authors

Ming Xiao
Ming Xiao Royal Institute of Technology
Lars K. Rasmussen
Lars K. Rasmussen Royal Institute of Technology
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Peter Händel
Peter Händel Royal Institute of Technology
James Gross
James Gross Royal Institute of Technology
Carlo Fischione
Carlo Fischione Royal Institute of Technology
Henrik Sandberg
Henrik Sandberg Royal Institute of Technology
Mats Bengtsson
Mats Bengtsson Royal Institute of Technology
Erik G. Larsson
Erik G. Larsson Linköping University
H. Vincent Poor
H. Vincent Poor Princeton University

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