Michael P. Hollier
- Signal Processing top 5%
- Cognitive Neuroscience
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Topics
- Speech and Audio Processing (4 papers)Acoustic Wave Phenomena Research (2 papers)Advanced Adaptive Filtering Techniques (2 papers)
In The Last Decade
Michael P. Hollier
7 papers receiving 291 citations
Peers
Comparison fields: 5 of 33
- Signal Processing 249
- Cognitive Neuroscience 98
- Computational Mechanics 97
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 71
Countries citing papers authored by Michael P. Hollier
This map shows the geographic impact of Michael P. Hollier'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 P. Hollier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Hollier more than expected).
Fields of papers citing papers by Michael P. Hollier
This network shows the impact of papers produced by Michael P. Hollier. 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 P. Hollier. The network helps show where Michael P. Hollier may publish in the future.
Co-authorship network of co-authors of Michael P. Hollier
This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Hollier. A scholar is included among the top collaborators of Michael P. Hollier 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 P. Hollier. Michael P. Hollier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Perception of Reconstructed Sound-Fields: The Dirty Little Secret | 3 |
| 2 | Perceptual evaluation of speech quality (PESQ) the new ITU standard for end-to-end speech quality assessment: Part I: Time-delay compensation | 130 |
| 3 | Perceptual Evaluation of Speech Quality (PESQ) The New ITU Standard for End-to-End Speech Quality Assessment Part II: Psychoacoustic Model | 151 |
| 4 | PESQ-The New ITU Standard for End-to-End Speech Quality Assessment | 22 |
| 5 | Three-Dimensional Sound Localization with Multiple Loudspeakers Using a Pair-Wise Association Paradigm and Embedded HRTFs | 4 |
| 6 | An Experimental Investigation into Multi-Modal Synchronization Sensitivity for Perceptual Model Development | 11 |
| 7 | The Influence of Cross-Modal Interaction on Audio-Visual Speech Quality Perception | 17 |
About Michael P. Hollier
Michael P. Hollier is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 7 papers that have together received 338 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Acoustic Wave Phenomena Research (2 papers) and Advanced Adaptive Filtering Techniques (2 papers). The work is most often cited by research in Signal Processing (249 citations), Cognitive Neuroscience (98 citations) and Computer Vision and Pattern Recognition (96 citations). Frequent co-authors include Antony W. Rix, A.P. Hekstra, John G. Beerends, William L. Martens and Malcolm J. Hawksford. Their work appears in journals such as Journal of the Audio Engineering Society.
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.