H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 6,101 354 World Ranking 6577 National Ranking 52
Electronics and Electrical Engineering H-index 33 Citations 6,565 375 World Ranking 2783 National Ranking 42

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Artificial intelligence

Mikael Skoglund mainly investigates Communication channel, Algorithm, Decoding methods, Fading and Topology. His Communication channel research incorporates themes from Relay and Beamforming. His work carried out in the field of Beamforming brings together such families of science as Transmitter and Block code.

His Algorithm study combines topics in areas such as Code, Hybrid automatic repeat request, Precoding, Distributed algorithm and Coding. His studies in Decoding methods integrate themes in fields like Vector quantization, Electronic engineering, Theoretical computer science and Quantization. His Fading research includes themes of Power control, Multiplexing, Computer network and Linear network coding.

His most cited work include:

  • Combining beamforming and orthogonal space-time block coding (528 citations)
  • Nested Polar Codes for Wiretap and Relay Channels (165 citations)
  • Multiple-User Cooperative Communications Based on Linear Network Coding (154 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Communication channel, Algorithm, Decoding methods, Computer network and Topology. Mikael Skoglund has included themes like Transmitter and Electronic engineering in his Communication channel study. Mikael Skoglund has researched Algorithm in several fields, including Theoretical computer science and Signal processing.

He interconnects Encoder, Coding and Additive white Gaussian noise in the investigation of issues within Decoding methods. His Computer network study integrates concerns from other disciplines, such as Wireless and Wireless network. His Topology research incorporates elements of Relay channel, Relay, Transmission and Channel capacity.

He most often published in these fields:

  • Communication channel (32.57%)
  • Algorithm (25.82%)
  • Decoding methods (21.23%)

What were the highlights of his more recent work (between 2018-2021)?

  • Algorithm (25.82%)
  • Mathematical optimization (11.62%)
  • Optimization problem (5.74%)

In recent papers he was focusing on the following fields of study:

His main research concerns Algorithm, Mathematical optimization, Optimization problem, Artificial neural network and Communication channel. His studies deal with areas such as Generalization error and Benchmark as well as Algorithm. His Mathematical optimization research is multidisciplinary, incorporating elements of Class, Mutual information, Markov chain and Fidelity.

His primary area of study in Communication channel is in the field of Channel code. Mikael Skoglund focuses mostly in the field of Secrecy, narrowing it down to matters related to Observer and, in some cases, Topology. His Topology study deals with MIMO intersecting with Upper and lower bounds.

Between 2018 and 2021, his most popular works were:

  • On PIR and Symmetric PIR From Colluding Databases With Adversaries and Eavesdroppers (24 citations)
  • Symmetric Private Information Retrieval from MDS Coded Distributed Storage With Non-Colluding and Colluding Servers (22 citations)
  • On Precoding and Energy Efficiency of Full-Duplex Millimeter-Wave Relays (19 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Computer network

Mikael Skoglund mostly deals with Mathematical optimization, Mutual information, Optimization problem, Algorithm and Upper and lower bounds. His research on Optimization problem also deals with topics like

  • Beamforming and related Backhaul and Radio access,
  • Wireless which is related to area like Spectral efficiency, Efficient energy use, Electronic engineering, Bandwidth and Precoding. The Algorithm study combines topics in areas such as Transmitter and Telecommunications link.

His Transmitter research focuses on subjects like Channel state information, which are linked to Communications system. His study in Upper and lower bounds is interdisciplinary in nature, drawing from both Coding and Joint probability distribution. He integrates many fields in his works, including Block, Encoder and Communication channel.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Combining beamforming and orthogonal space-time block coding

G. Jongren;M. Skoglund;B. Ottersten.
IEEE Transactions on Information Theory (2002)

656 Citations

Multiple-User Cooperative Communications Based on Linear Network Coding

Ming Xiao;Mikael Skoglund.
IEEE Transactions on Communications (2010)

200 Citations

Nested Polar Codes for Wiretap and Relay Channels

M Andersson;V Rathi;R Thobaben;Jörg Kliewer.
IEEE Communications Letters (2010)

167 Citations

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

Ming Xiao;Mikael Skoglund.
international symposium on information theory (2009)

153 Citations

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

Ming Xiao;J. Kliewer;M. Skoglund.
IEEE Transactions on Communications (2012)

152 Citations

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

T.T. Kim;M. Skoglund.
IEEE Transactions on Communications (2007)

150 Citations

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

M. Skoglund;G. Jongren.
IEEE Journal on Selected Areas in Communications (2003)

132 Citations

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

E. Larsson;M. Skoglund.
global communications conference (2008)

124 Citations

Diversity–Multiplexing Tradeoff in MIMO Channels With Partial CSIT

T.T. Kim;M. Skoglund.
IEEE Transactions on Information Theory (2007)

118 Citations

Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems

Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund.
IEEE Journal of Selected Topics in Signal Processing (2016)

117 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Mikael Skoglund

Sennur Ulukus

Sennur Ulukus

University of Maryland, College Park

Publications: 48

Hamid Jafarkhani

Hamid Jafarkhani

University of California, Irvine

Publications: 45

Robert W. Heath

Robert W. Heath

North Carolina State University

Publications: 36

David J. Love

David J. Love

Purdue University West Lafayette

Publications: 35

Shlomo Shamai

Shlomo Shamai

Technion – Israel Institute of Technology

Publications: 34

Amir K. Khandani

Amir K. Khandani

University of Waterloo

Publications: 31

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 29

Ming Xiao

Ming Xiao

Royal Institute of Technology

Publications: 27

Eduard A. Jorswieck

Eduard A. Jorswieck

Technische Universität Braunschweig

Publications: 27

Bjorn Ottersten

Bjorn Ottersten

University of Luxembourg

Publications: 27

Thomas Eriksson

Thomas Eriksson

Chalmers University of Technology

Publications: 27

Georgios B. Giannakis

Georgios B. Giannakis

University of Minnesota

Publications: 25

Branka Vucetic

Branka Vucetic

University of Sydney

Publications: 25

Yonghui Li

Yonghui Li

University of Sydney

Publications: 23

Giuseppe Caire

Giuseppe Caire

Technical University of Berlin

Publications: 23

Something went wrong. Please try again later.