H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 64 Citations 13,961 517 World Ranking 1187 National Ranking 14
Electronics and Electrical Engineering H-index 62 Citations 14,346 482 World Ranking 482 National Ranking 8

Research.com Recognitions

Awards & Achievements

2007 - IEEE Fellow For contributions to adaptive filtering algorithms for digital communications and audio signal processing


What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Statistics
  • Telecommunications

His primary areas of investigation include Speech recognition, Algorithm, Noise reduction, Electronic engineering and Digital subscriber line. The Speech recognition study combines topics in areas such as Speech enhancement, Noise measurement, Microphone and Signal processing. His Algorithm research incorporates themes from Spread spectrum, Subspace topology, Wireless sensor network and Real-time computing.

His Noise reduction research is multidisciplinary, incorporating perspectives in Binaural recording, Wiener filter, Hearing aid, Adaptive filter and Noise. The various areas that Marc Moonen examines in his Electronic engineering study include Time complexity, Distortion, Orthogonal frequency-division multiplexing and Equalization. He has included themes like Spectrum management, Dynamic spectrum management, Crosstalk, Communication channel and Frequency allocation in his Digital subscriber line study.

His most cited work include:

  • Optimal training design for MIMO OFDM systems in mobile wireless channels (714 citations)
  • Optimal multiuser spectrum balancing for digital subscriber lines (365 citations)
  • On- and off-line identification of linear state-space models (353 citations)

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

Algorithm, Speech recognition, Electronic engineering, Digital signal processing and Noise reduction are his primary areas of study. His Algorithm study incorporates themes from Subspace topology, Mathematical optimization and Signal processing. His Speech recognition research includes elements of Acoustics, Speech enhancement, Signal-to-noise ratio and Microphone.

His Electronic engineering research includes themes of Telecommunications, Digital subscriber line, Equalization, Orthogonal frequency-division multiplexing and Transmitter. His work investigates the relationship between Digital signal processing and topics such as Adaptive filter that intersect with problems in Signal. His Noise reduction research incorporates elements of Binaural recording, Wiener filter, Hearing aid, Noise and Robustness.

He most often published in these fields:

  • Algorithm (32.91%)
  • Speech recognition (24.54%)
  • Electronic engineering (20.64%)

What were the highlights of his more recent work (between 2013-2021)?

  • Algorithm (32.91%)
  • Speech recognition (24.54%)
  • Wireless sensor network (5.96%)

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

The scientist’s investigation covers issues in Algorithm, Speech recognition, Wireless sensor network, Acoustics and Speech enhancement. His Algorithm research integrates issues from Noise reduction, Mathematical optimization and Digital subscriber line. The study incorporates disciplines such as Noise, Deconvolution, Microphone and Linear prediction in addition to Noise reduction.

His studies deal with areas such as Electronic engineering, Resource allocation and Communication channel as well as Digital subscriber line. His work deals with themes such as Noise measurement and Cochlear implant, which intersect with Speech recognition. His studies in Speech enhancement integrate themes in fields like Fourier transform and Filter.

Between 2013 and 2021, his most popular works were:

  • Low-rank approximation based multichannel wiener filter algorithms for noise reduction with application in cochlear implants (69 citations)
  • Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks (55 citations)
  • On the modeling of rectangular geometries in room acoustic simulations (36 citations)

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

  • Statistics
  • Algorithm
  • Telecommunications

Marc Moonen mainly investigates Algorithm, Wireless sensor network, Speech recognition, Noise reduction and Mathematical optimization. His research integrates issues of PESQ, Eigendecomposition of a matrix and Digital subscriber line in his study of Algorithm. The concepts of his Speech recognition study are interwoven with issues in Noise-canceling microphone, Adaptive filter, Frequency domain, Noise measurement and Gaussian noise.

Marc Moonen combines subjects such as Wiener filter, Noise and Microphone with his study of Noise reduction. His Microphone study combines topics from a wide range of disciplines, such as Acoustics, Background noise and Subspace topology. His research investigates the connection with Electronic engineering and areas like Trigonometry which intersect with concerns in 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

Optimal training design for MIMO OFDM systems in mobile wireless channels

I. Barhumi;G. Leus;M. Moonen.
IEEE Transactions on Signal Processing (2003)

1022 Citations

Optimal multiuser spectrum balancing for digital subscriber lines

R. Cendrillon;Wei Yu;M. Moonen;J. Verlinden.
IEEE Transactions on Communications (2006)

583 Citations

On- and off-line identification of linear state-space models

Marc Moonen;Bart De Moor;Lieven Vandenberghe;Joos Vandewalle.
International Journal of Control (1989)

532 Citations

GSVD-based optimal filtering for single and multimicrophone speech enhancement

S. Doclo;M. Moonen.
IEEE Transactions on Signal Processing (2002)

450 Citations

Joint DOA and multi-pitch estimation based on subspace techniques

Johan Xi Zhang;Mads Græsbøll Christensen;Søren Holdt Jensen;Marc Moonen.
EURASIP Journal on Advances in Signal Processing (2012)

318 Citations

Per tone equalization for DMT-based systems

K. Van Acker;G. Leus;M. Moonen;O. van de Wiel.
IEEE Transactions on Communications (2001)

306 Citations

Optimal multiuser spectrum management for digital subscriber lines

R. Cendrillon;M. Moonen;J. Verlinden;T. Bostoen.
international conference on communications (2004)

277 Citations

Compensation of IQ imbalance and phase noise in OFDM systems

J. Tubbax;B. Come;L. Van der Perre;S. Donnay.
IEEE Transactions on Wireless Communications (2005)

265 Citations

Fifty Years of Acoustic Feedback Control: State of the Art and Future Challenges

Toon van Waterschoot;Marc Moonen.
Proceedings of the IEEE (2011)

251 Citations

Horizontal localization with bilateral hearing aids: Without is better than with

Tim Van den Bogaert;Thomas J. Klasen;Marc Moonen;Lieselot Van Deun.
Journal of the Acoustical Society of America (2006)

239 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.

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