Michael M. Goodwin

43 papers receiving 579 citations

Peers

Michael M. Goodwin
Comparison fields: 5 of 58
  • Signal Processing 567
  • Computational Mechanics 306
  • Computer Vision and Pattern Recognition 229
  • Cognitive Neuroscience 126
  • Biomedical Engineering 96
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Countries citing papers authored by Michael M. Goodwin

Since Specialization
Citations

This map shows the geographic impact of Michael M. Goodwin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael M. Goodwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Goodwin more than expected).

Fields of papers citing papers by Michael M. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Goodwin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael M. Goodwin. The network helps show where Michael M. Goodwin may publish in the future.

Co-authorship network of co-authors of Michael M. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Goodwin. A scholar is included among the top collaborators of Michael M. Goodwin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael M. Goodwin. Michael M. Goodwin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
Spatial Audio Scene Coding
17
3 16
4 1
5
Spatial Audio Scene Coding in a Universal Two-Channel 3-D Stereo Format
5
6
Binaural 3-D Audio Rendering Based on Spatial Audio Scene Coding
16
7
Correlation-Based Ambience Extraction from Stereo Recordings
25
8
Frequency-Domain Algorithms for Audio Signal Enhancement Based on Transient Modification
4
9
Analysis and Synthesis for Universal Spatial Audio Coding
9
10
A Frequency-domain Framework for Spatial Audio Coding Based on Universal Spatial Cues
12
11
Allpass Arrays: Theory, Design, and Applications
1
12
Enhancement of Audio Signals Based on Modulation Spectrum Processing
1
13 10
14
Parametric Coding and Frequency-Domain Processing in Multichannel Audio Applications
1
15 9
16 1
17 11
18
Real-Time Additive Synthesis Controlled by a Mixture of Neural-Networks and Direct Manipulation of Physical and Perceptual Attributes
1
19 70
20
Beam Dithering: Acoustic Feedback Control Using a Modulated-Directivity Loudspeaker Array
4

About Michael M. Goodwin

Michael M. Goodwin is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 695 indexed citations. Recurring topics across this work include Speech and Audio Processing (31 papers), Advanced Adaptive Filtering Techniques (16 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (567 citations), Computational Mechanics (306 citations) and Computer Vision and Pattern Recognition (229 citations). Michael M. Goodwin has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Martin Vetterli, Jean-Marc Jot, Gary W. Elko, Edward A. Lee, J. Laroche, Juha Merimaa, Edward V. Stein, Carlos Avendaño, W. Dobrzynski and Michael Pott-Pollenske. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Audio Speech and Language Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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