Ferdinand Fuhrmann
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Information Systems top 10%
- Cognitive Neuroscience
- Co-authors
- Perfecto HerreraMartín HaroDmitry BogdanovEmília GómezAnna XambóJordi JanerRené KaiserDirk Heylen
- Topics
- Music and Audio Processing (10 papers)Music Technology and Sound Studies (8 papers)Speech and Audio Processing (7 papers)
- Partner nations
- AustriaSpainUnited Kingdom
In The Last Decade
Ferdinand Fuhrmann
19 papers receiving 275 citations
Peers
Comparison fields: 5 of 63
- Signal Processing 164
- Computer Vision and Pattern Recognition 153
- Artificial Intelligence 78
- Information Systems 58
- Cognitive Neuroscience 43
Countries citing papers authored by Ferdinand Fuhrmann
This map shows the geographic impact of Ferdinand Fuhrmann'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 Ferdinand Fuhrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferdinand Fuhrmann more than expected).
Fields of papers citing papers by Ferdinand Fuhrmann
This network shows the impact of papers produced by Ferdinand Fuhrmann. 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 Ferdinand Fuhrmann. The network helps show where Ferdinand Fuhrmann may publish in the future.
Co-authorship network of co-authors of Ferdinand Fuhrmann
This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand Fuhrmann. A scholar is included among the top collaborators of Ferdinand Fuhrmann 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 Ferdinand Fuhrmann. Ferdinand Fuhrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 61 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 83 | |
| 13 | 54 | |
| 14 | 1 | |
| 15 | 8 | |
| 16 | Content-based music recommendation based on user preference examples | 26 |
| 17 | Polyphonic Instrument Recognition for exploring semantic Similarities in Music | 7 |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 2 |
About Ferdinand Fuhrmann
Ferdinand Fuhrmann is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 299 indexed citations. Recurring topics across this work include Music and Audio Processing (10 papers), Music Technology and Sound Studies (8 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Signal Processing (164 citations), Computer Vision and Pattern Recognition (153 citations) and Music (18 citations). Ferdinand Fuhrmann has collaborated with scholars based in Austria, Spain and United Kingdom. Frequent co-authors include Perfecto Herrera, Martín Haro, Dmitry Bogdanov, Emília Gómez, Anna Xambó, Jordi Janer, René Kaiser, Dirk Heylen, Zakia Hammal and Albert Ali Salah. Their work appears in journals such as Energies, Alzheimer s & Dementia and Information Processing & Management.
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.