Wolfgang Haas
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Music top 5%
- Co-authors
- Frans WieringJosé Pedro MagalhãesAnja VolkRemco C. VeltkampHenkjan HoningJohn BurgoyneMartin RohrmeierP. van Kranenburg
- Topics
- Music and Audio Processing (25 papers)Music Technology and Sound Studies (25 papers)Neuroscience and Music Perception (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsACM SIGPLAN Notices
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Wolfgang Haas
33 papers receiving 256 citations
Peers
Comparison fields: 5 of 37
- Signal Processing 231
- Computer Vision and Pattern Recognition 211
- Cognitive Neuroscience 143
- Artificial Intelligence 38
- Music 35
Countries citing papers authored by Wolfgang Haas
This map shows the geographic impact of Wolfgang Haas'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 Wolfgang Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Haas more than expected).
Fields of papers citing papers by Wolfgang Haas
This network shows the impact of papers produced by Wolfgang Haas. 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 Wolfgang Haas. The network helps show where Wolfgang Haas may publish in the future.
Co-authorship network of co-authors of Wolfgang Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Haas. A scholar is included among the top collaborators of Wolfgang Haas 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 Wolfgang Haas. Wolfgang Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | Harmonic Subjectivity in Popular Music | 1 |
| 5 | 16 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Towards Modelling Variation in Music as Foundation for Similarity | 9 |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | Generating Random Dynamic Resource Scheduling Problems | 2 |
| 15 | 2 | |
| 16 | 16 | |
| 17 | A comparison of evolutionary algorithms for finding optimal error-correcting codes | 5 |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 4 |
About Wolfgang Haas
Wolfgang Haas is a scholar working on Signal Processing, Discrete Mathematics and Combinatorics and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 288 indexed citations. Recurring topics across this work include Music and Audio Processing (25 papers), Music Technology and Sound Studies (25 papers) and Neuroscience and Music Perception (15 papers). The work is most often cited by research in Signal Processing (231 citations), Music (35 citations) and Computer Vision and Pattern Recognition (211 citations). Wolfgang Haas has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Frans Wiering, José Pedro Magalhães, Anja Volk, Remco C. Veltkamp, Henkjan Honing, John Burgoyne, Martin Rohrmeier, P. van Kranenburg, Sheridan Houghten and Bas Janssen. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and ACM SIGPLAN Notices.
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.