D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 51 Citations 18,185 114 World Ranking 1079 National Ranking 23

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mathematical analysis
  • Telecommunications

His scientific interests lie mostly in MIMO, Electronic engineering, Fading, Communication channel and Telecommunications. His MIMO research is multidisciplinary, relying on both Wireless, Upper and lower bounds, Decoding methods and Channel capacity. In his study, Relay channel is inextricably linked to Computer network, which falls within the broad field of Wireless.

Helmut Bölcskei interconnects Transmitter, Digital filter, Diversity gain and Orthogonal frequency-division multiplexing in the investigation of issues within Electronic engineering. He has included themes like Algorithm, Coding gain and Topology in his Fading study. Cooperative diversity and Antenna diversity are the core of his Communication channel study.

His most cited work include:

  • Fading relay channels: performance limits and space-time signal design (1868 citations)
  • An overview of MIMO communications - a key to gigabit wireless (1807 citations)
  • Block-Sparse Signals: Uncertainty Relations and Efficient Recovery (920 citations)

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

Helmut Bölcskei mostly deals with Algorithm, Communication channel, Fading, MIMO and Electronic engineering. Helmut Bölcskei mostly deals with Channel capacity in his studies of Communication channel. His study in Fading is interdisciplinary in nature, drawing from both Additive white Gaussian noise, Channel state information and Topology.

His work carried out in the field of MIMO brings together such families of science as Computer network, Multiplexing and Decoding methods. His Computer network research incorporates themes from Relay channel and Wireless network, Wi-Fi array. His Electronic engineering course of study focuses on Orthogonal frequency-division multiplexing and Spectral efficiency.

He most often published in these fields:

  • Algorithm (33.96%)
  • Communication channel (27.61%)
  • Fading (24.25%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial neural network (5.60%)
  • Algorithm (33.96%)
  • Topology (16.42%)

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

Helmut Bölcskei focuses on Artificial neural network, Algorithm, Topology, Convolutional neural network and Artificial intelligence. In his study, Matching pursuit, Cluster analysis, Sample size determination, Matrix pencil and Estimation theory is inextricably linked to Subspace topology, which falls within the broad field of Algorithm. His Topology research includes themes of Degrees of freedom, Communication channel, Function approximation and Constant.

His Communication channel study which covers Matrix that intersects with Distribution. The study incorporates disciplines such as Feature, Wavelet, Shearlet, Feature vector and Feature extraction in addition to Convolutional neural network. His work focuses on many connections between Artificial intelligence and other disciplines, such as Pattern recognition, that overlap with his field of interest in Translation, Pooling and Mathematical theory.

Between 2015 and 2021, his most popular works were:

  • A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction (153 citations)
  • Optimal Approximation with Sparsely Connected Deep Neural Networks (116 citations)
  • Deep Neural Network Approximation Theory (50 citations)

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

  • Statistics
  • Mathematical analysis
  • Telecommunications

His primary areas of investigation include Algorithm, Artificial neural network, Convolutional neural network, Wavelet and Shearlet. In his articles, Helmut Bölcskei combines various disciplines, including Algorithm and Impulse noise. Helmut Bölcskei works mostly in the field of Artificial neural network, limiting it down to concerns involving Affine transformation and, occasionally, Polynomial and Weierstrass function.

His Convolutional neural network study deals with Feature extraction intersecting with Feature and Feature vector. Within one scientific family, Helmut Bölcskei focuses on topics pertaining to Function approximation under Minimax approximation algorithm, and may sometimes address concerns connected to Topology. His biological study spans a wide range of topics, including Entropy and Triangle inequality.

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.

Best Publications

An overview of MIMO communications - a key to gigabit wireless

A.J. Paulraj;D.A. Gore;R.U. Nabar;H. Bolcskei.
Proceedings of the IEEE (2004)

2703 Citations

Fading relay channels: performance limits and space-time signal design

R.U. Nabar;H. Bolcskei;F.W. Kneubuhler.
IEEE Journal on Selected Areas in Communications (2004)

2326 Citations

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

Yonina C Eldar;Patrick Kuppinger;Helmut Bolcskei.
IEEE Transactions on Signal Processing (2010)

1310 Citations

On the capacity of OFDM-based spatial multiplexing systems

H. Bolcskei;D. Gesbert;A.J. Paulraj.
IEEE Transactions on Communications (2002)

1291 Citations

Outdoor MIMO wireless channels: models and performance prediction

D. Gesbert;H. Bolcskei;D.A. Gore;A.J. Paulraj.
IEEE Transactions on Communications (2002)

1099 Citations

Capacity scaling laws in MIMO relay networks

H. Bolcskei;R.U. Nabar;O. Oyman;A.J. Paulraj.
IEEE Transactions on Wireless Communications (2006)

761 Citations

VLSI implementation of MIMO detection using the sphere decoding algorithm

A. Burg;M. Borgmann;M. Wenk;M. Zellweger.
european solid-state circuits conference (2005)

722 Citations

Space-frequency coded broadband OFDM systems

H. Bolcskei;A.J. Paulraj.
wireless communications and networking conference (2000)

615 Citations

MIMO-OFDM wireless systems: basics, perspectives, and challenges

H. Bolcskei.
IEEE Wireless Communications (2006)

549 Citations

Blind estimation of symbol timing and carrier frequency offset in wireless OFDM systems

H. Bolcskei.
IEEE Transactions on Communications (2001)

469 Citations

Best Scientists Citing Helmut Bölcskei

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Matthew R. McKay

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John Thompson

John Thompson

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Shi Jin

Shi Jin

Southeast University

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Chintha Tellambura

Chintha Tellambura

University of Alberta

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Gerhard Fettweis

Gerhard Fettweis

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Hamid Jafarkhani

Hamid Jafarkhani

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Xiang-Gen Xia

Xiang-Gen Xia

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Arogyaswami Paulraj

Arogyaswami Paulraj

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

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