Jan Mark de Haan
- Signal Processing top 2%
- Speech and Audio Processing 21
- Digital Filter Design and Implementation 3
- Blind Source Separation Techniques 3
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques 19
- Cognitive Neuroscience top 10%
- Hearing Loss and Rehabilitation 8
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- Image and Signal Denoising Methods 4
- Advanced Data Compression Techniques 2
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- Acoustic Wave Phenomena Research 6
Jan Mark de Haan
23 papers receiving 298 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 295
- Computational Mechanics 150
- Cognitive Neuroscience 123
- Speech and Hearing 22
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Jan Mark de Haan
This map shows the geographic impact of Jan Mark de Haan'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 Jan Mark de Haan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Mark de Haan more than expected).
Fields of papers citing papers by Jan Mark de Haan
This network shows the impact of papers produced by Jan Mark de Haan. 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 Jan Mark de Haan. The network helps show where Jan Mark de Haan may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Jan Mark de Haan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 6 | |
| 2 | 2022 | 3 | |
| 3 | 2021 | 10 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2017 | 27 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 11 | |
| 11 | 2005 | 10 | |
| 12 | 2004 | 2 | |
| 13 | Filter bank design for digital speech signal processing : methods and applications | 2004 | 1 |
| 14 | 2004 | 6 | |
| 15 | 2003 | 42 | |
| 16 | Filter Bank Design for Delayless Subband Adaptive Filtering Structures with Subband Weight Transformation | 2002 | 3 |
| 17 | 2002 | 3 | |
| 18 | 2002 | 13 | |
| 19 | Filter Bank Design for Subband Adaptive Filtering | 2001 | 6 |
| 20 | A Survey on Methods for Time-Frequency Analysis | 1998 | 3 |
About Jan Mark de Haan
Jan Mark de Haan is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience, having authored 24 papers that have together received 318 indexed citations. Recurring topics across this work include Speech and Audio Processing (21 papers), Advanced Adaptive Filtering Techniques (19 papers), Hearing Loss and Rehabilitation (8 papers), Acoustic Wave Phenomena Research (6 papers), Image and Signal Denoising Methods (4 papers), Digital Filter Design and Implementation (3 papers), Blind Source Separation Techniques (3 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (295 citations), Computational Mechanics (150 citations) and Cognitive Neuroscience (123 citations). Jan Mark de Haan has collaborated with scholars based in Denmark, Sweden and Australia. Frequent co-authors include Jesper Jensen, Zheng‐Hua Tan, Ingvar Claesson, Nedelko Grbić, Sven Nordholm, Patrick A. Naylor, Mike Brookes, Alastair H. Moore, Michael Syskind Pedersen and Thomas Lunner. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and IEEE Transactions on Speech and Audio 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.