Jan Mark de Haan
- Signal Processing top 2%
- Computational Mechanics top 5%
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Jesper JensenZheng‐Hua TanIngvar ClaessonNedelko GrbićSven NordholmPatrick A. NaylorMike BrookesAlastair H. Moore
- Topics
- Speech and Audio Processing (21 papers)Advanced Adaptive Filtering Techniques (19 papers)Hearing Loss and Rehabilitation (8 papers)
In The Last Decade
Jan Mark de Haan
23 papers receiving 298 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 295
- Computational Mechanics 150
- Cognitive Neuroscience 123
- Biomedical Engineering 68
- Artificial Intelligence 61
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 of co-authors of Jan Mark de Haan
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Mark de Haan. A scholar is included among the top collaborators of Jan Mark de Haan 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 Jan Mark de Haan. Jan Mark de Haan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 20 | |
| 5 | 37 | |
| 6 | 34 | |
| 7 | 27 | |
| 8 | 34 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | Filter bank design for digital speech signal processing : methods and applications | 1 |
| 14 | 6 | |
| 15 | 42 | |
| 16 | Filter Bank Design for Delayless Subband Adaptive Filtering Structures with Subband Weight Transformation | 3 |
| 17 | 3 | |
| 18 | 13 | |
| 19 | Filter Bank Design for Subband Adaptive Filtering | 6 |
| 20 | A Survey on Methods for Time-Frequency Analysis | 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) and Hearing Loss and Rehabilitation (8 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.