Tillman Weyde
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Emmanouil BenetosAndreas JanssonRachel BittnerEric J. HumphreyAparna KumarNicola MontecchioRoberto ConfalonieriTarek R. Besold
- Topics
- Music and Audio Processing (56 papers)Music Technology and Sound Studies (49 papers)Speech and Audio Processing (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Tillman Weyde
68 papers receiving 704 citations
Peers
Comparison fields: 5 of 83
- Signal Processing 442
- Computer Vision and Pattern Recognition 365
- Artificial Intelligence 245
- Cognitive Neuroscience 111
- Radiology, Nuclear Medicine and Imaging 76
Countries citing papers authored by Tillman Weyde
This map shows the geographic impact of Tillman Weyde'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 Tillman Weyde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tillman Weyde more than expected).
Fields of papers citing papers by Tillman Weyde
This network shows the impact of papers produced by Tillman Weyde. 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 Tillman Weyde. The network helps show where Tillman Weyde may publish in the future.
Co-authorship network of co-authors of Tillman Weyde
This figure shows the co-authorship network connecting the top 25 collaborators of Tillman Weyde. A scholar is included among the top collaborators of Tillman Weyde 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 Tillman Weyde. Tillman Weyde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | An Ontology-based Approach to Explaining Artificial Neural Networks. | 12 |
| 9 | What makes a good explanation? Cognitive dimensions of explaining intelligent machines. | 8 |
| 10 | 2 | |
| 11 | Accuracy and interpretability trade-offs in machine learning applied to safer gambling | 11 |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | I-MAESTRO: TECHNOLOGY-ENHANCED LEARNING FOR MUSIC | 5 |
| 17 | Interactive Multimedia Technology-Enhanced Learning for Music with i-Maestro | 1 |
| 18 | A Systemic Approach to Music Performance Learning with Multimodal Technology Support | 8 |
| 19 | Structure recognition on sequences with a neuro-fuzzy-system. | 1 |
| 20 | Grouping, Similarity and the Recognition of Rhythmic Structure | 2 |
About Tillman Weyde
Tillman Weyde is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 758 indexed citations. Recurring topics across this work include Music and Audio Processing (56 papers), Music Technology and Sound Studies (49 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (442 citations), Music (56 citations) and Computer Vision and Pattern Recognition (365 citations). Tillman Weyde has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Emmanouil Benetos, Andreas Jansson, Rachel Bittner, Eric J. Humphrey, Aparna Kumar, Nicola Montecchio, Roberto Confalonieri, Tarek R. Besold, Daniel Wolff and Fermı́n Moscoso del Prado Martı́n. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and IEEE Transactions on Neural Networks and Learning Systems.
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.