Julien van Hout
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Computational Mechanics
- Cognitive Neuroscience
- Co-authors
- Martin GraciarenaHoracio FrancoMahesh Kumar NandwanaAaron LawsonColleen RicheyMitchell McLarenM. A. BarriosVikramjit Mitra
- Topics
- Speech Recognition and Synthesis (16 papers)Music and Audio Processing (15 papers)Speech and Audio Processing (13 papers)
- Journals
- Machine Vision and ApplicationsNational University of SingaporeUvA-DARE (University of Amsterdam)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Julien van Hout
21 papers receiving 187 citations
Peers
Comparison fields: 5 of 20
- Artificial Intelligence 170
- Signal Processing 149
- Computer Vision and Pattern Recognition 43
- Computational Mechanics 11
- Cognitive Neuroscience 7
Countries citing papers authored by Julien van Hout
This map shows the geographic impact of Julien van Hout'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 Julien van Hout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien van Hout more than expected).
Fields of papers citing papers by Julien van Hout
This network shows the impact of papers produced by Julien van Hout. 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 Julien van Hout. The network helps show where Julien van Hout may publish in the future.
Co-authorship network of co-authors of Julien van Hout
This figure shows the co-authorship network connecting the top 25 collaborators of Julien van Hout. A scholar is included among the top collaborators of Julien van Hout 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 Julien van Hout. Julien van Hout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 56 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | Open Language Interface for Voice Exploitation (OLIVE). | 2 |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | The 2013 SESAME Multimedia Event Detection and Recounting System | 4 |
| 15 | 24 | |
| 16 | 17 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | Low Complexity Spectral Imputation for Noise Robust Speech Recognition | 1 |
| 20 | 14 |
About Julien van Hout
Julien van Hout is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 217 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Music and Audio Processing (15 papers) and Speech and Audio Processing (13 papers). The work is most often cited by research in Signal Processing (149 citations), Artificial Intelligence (170 citations) and Computer Vision and Pattern Recognition (43 citations). Julien van Hout has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Martin Graciarena, Horacio Franco, Mahesh Kumar Nandwana, Aaron Lawson, Colleen Richey, Mitchell McLaren, M. A. Barrios, Vikramjit Mitra, Dimitra Vergyri and Abeer Alwan. Their work appears in journals such as Machine Vision and Applications, National University of Singapore and UvA-DARE (University of Amsterdam).
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.