World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
7960
World Ranking
4440
National Ranking
72

Mats Bengtsson 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 Mats Bengtsson 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: 240 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Mats Bengtsson 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 Mats Bengtsson 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

Mats Bengtsson is affiliated with the Royal Institute of Technology in Sweden and has contributed extensively to the fields of engineering and computer science, focusing primarily on electrical and electronic engineering, aerospace engineering, and artificial intelligence. Their research interests include advanced wireless communication techniques, antenna design, and localization technologies.

The main topics of their work encompass:

  • Advanced MIMO Systems Optimization
  • PAPR reduction in OFDM
  • Advanced Wireless Communication Techniques
  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • Antenna Design and Optimization
  • Direction-of-Arrival Estimation Techniques

They have published papers in prominent venues, most notably:

  • Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm, 2021, IEEE Open Journal of the Communications Society
  • EVM Mitigation With PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM, 2022, IEEE Transactions on Wireless Communications
  • Efficient Optimization for Large-Scale MIMO-OFDM Spectral Precoding, 2021, IEEE Transactions on Wireless Communications
  • Deep unfolding of the weighted MMSE beamforming algorithm, 2020, arXiv (Cornell University)
  • Power Delay Profile investigation in Industrial Indoor Environments at the 24 GHz ISM band, 2022, 2022 IEEE International Conference on Industrial Technology (ICIT)

Frequent coauthors collaborating with Mats Bengtsson include:

  • Gábor Fodor
  • Carlo Fischione
  • Bo Göransson
  • Shashi Kant
  • Lissy Pellaco

Their work appears repeatedly in established publication venues such as:

  • IEEE Transactions on Wireless Communications
  • arXiv (Cornell University)
  • IEEE Open Journal of the Communications Society
  • 2022 IEEE International Conference on Industrial Technology (ICIT)
  • 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Mats Bengtsson's research spans multiple aspects of wireless communications, including optimization algorithms for MIMO and OFDM systems, spectral precoding techniques, and investigation of power delay profiles in industrial indoor environments. Their contributions also explore novel algorithms, such as deep unfolding approaches for beamforming optimization.

Their interdisciplinary background bridges engineering and computer science, reflecting a comprehensive focus on both theoretical and practical aspects of modern wireless systems and signal processing.

Best Publications

  • Convex Optimization-Based Beamforming

    Alex B Gershman;Nicholas D Sidiropoulos;Shahram Shahbazpanahi;Mats Bengtsson

  • Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes]

    Emil Bjornson;Mats Bengtsson;Bjorn Ottersten

  • Optimal Downlink Beamforming Using Semidefinite Optimization

    Mats Bengtsson;Björn Ottersten

  • Modeling of wide-band MIMO radio channels based on NLoS indoor measurements

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments

    E. Bjornson;P. Zetterberg;M. Bengtsson;B. Ottersten

  • Low-Complexity Polynomial Channel Estimation in Large-Scale MIMO With Arbitrary Statistics

    Nafiseh Shariati;Emil Björnson;Mats Bengtsson;Mérouane Debbah

  • Low-complexity estimators for distributed sources

    M. Bengtsson;B. Ottersten

  • Distributed Multicell Beamforming With Limited Intercell Coordination

    Yongming Huang;Gan Zheng;M Bengtsson;Kai-Kit Wong

  • Robust Monotonic Optimization Framework for Multicell MISO Systems

    E. Björnson;Gan Zheng;M. Bengtsson;B. Ottersten

  • Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure

    Emil Björnson;Mats Bengtsson;Björn Ottersten

  • Optimality Properties, Distributed Strategies, and Measurement-Based Evaluation of Coordinated Multicell OFDMA Transmission

    E. Bjornson;N. Jalden;M. Bengtsson;B. Ottersten

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

    Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund

  • A generalization of weighted subspace fitting to full-rank models

    M. Bengtsson;B. Ottersten

  • Acquiring Partial CSI for Spatially Selective Transmission by Instantaneous Channel Norm Feedback

    D. Hammarwall;M. Bengtsson;B. Ottersten

  • Optimum and Suboptimum Transmit Beamforming

    Mats Bengtsson;Björn Ottersten

  • Robust MIMO precoding for the schatten norm based channel uncertainty sets

    Jiaheng Wang;Mats Bengtsson;Bjorn Ottersten;Daniel P. Palomar

  • A pragmatic approach to multi-user spatial multiplexing

    M. Bengtsson

  • A wideband statistical model for NLOS indoor MIMO channels

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • System evaluation of optimal downlink beamforming with congestion control in wireless communication

    R. Stridh;M. Bengtsson;B. Ottersten

  • Optimal Downlink BeamformingUsing Semidefinite Optimization

    Mats Bengtsson;Björn Ottersten

Frequent Co-Authors

Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Emil Bjornson
Emil Bjornson Royal Institute of Technology
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Mark A Beach
Mark A Beach University of Bristol
Gabor Fodor
Gabor Fodor Ericsson (Sweden)
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Jiaheng Wang
Jiaheng Wang Southeast University
Markku Juntti
Markku Juntti University of Oulu
Thomas H. Tötterman
Thomas H. Tötterman Uppsala University
Le-Nam Tran
Le-Nam Tran University College Dublin

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