Daniel Arfib
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience
- Computational Mechanics
- Human-Computer Interaction
- Co-authors
- Loïc KessousUdo ZölzerNathalie DelpratNicola BernardiniAmalia de GötzenRichard Kronland-MartinetP. Guillemain
- Topics
- Music Technology and Sound Studies (9 papers)Music and Audio Processing (8 papers)Speech and Audio Processing (7 papers)
In The Last Decade
Daniel Arfib
16 papers receiving 162 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 173
- Computer Vision and Pattern Recognition 168
- Cognitive Neuroscience 100
- Computational Mechanics 19
- Human-Computer Interaction 16
Countries citing papers authored by Daniel Arfib
This map shows the geographic impact of Daniel Arfib'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 Daniel Arfib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Arfib more than expected).
Fields of papers citing papers by Daniel Arfib
This network shows the impact of papers produced by Daniel Arfib. 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 Daniel Arfib. The network helps show where Daniel Arfib may publish in the future.
Co-authorship network of co-authors of Daniel Arfib
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Arfib. A scholar is included among the top collaborators of Daniel Arfib 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 Daniel Arfib. Daniel Arfib 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 | Design and use of some new digital musical instruments | 1 |
| 3 | 60 | |
| 4 | 0 | |
| 5 | 23 | |
| 6 | 57 | |
| 7 | IMPLEMENTATION STRATEGIES FOR ADAPTIVE DIGITAL AUDIO EFFECTS | 3 |
| 8 | Gestural Control of Sound Synthesis and Processing Algorithms | 4 |
| 9 | TRADITIONAL (?) IMPLEMENTATIONS OF A PHASE-VOCODER: THE TRICKS OF THE TRADE | 16 |
| 10 | Alteration of the Vibrato of a Recorded Voice | 3 |
| 11 | A Digital Version of the Photosonic Instrument | 0 |
| 12 | Selective Transformations of Sounds Using Time-Frequency Representations: An Application to the Vibrato Modification | 2 |
| 13 | Des courbes et des sons | 1 |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | In the Intimacy of a Sound | 2 |
| 18 | 1 | |
| 19 | Digital Synthesis of Complex Spectra by Means of Multiplication of Non Linear Distorted Sine Waves | 43 |
| 20 | Digital Synthesis of Complex Spectra by Means of Non-linear Distortion of Sine Waves and Amplitude Modulation. | 1 |
About Daniel Arfib
Daniel Arfib is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 21 papers that have together received 236 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (9 papers), Music and Audio Processing (8 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Signal Processing (173 citations), Computer Vision and Pattern Recognition (168 citations) and Cognitive Neuroscience (100 citations). Daniel Arfib has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Loïc Kessous, Udo Zölzer, Nathalie Delprat, Nicola Bernardini, Amalia de Götzen, Richard Kronland-Martinet and P. Guillemain. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing and Journal of the Audio Engineering Society.
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.