Antoine Liutkus
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Emmanuel VincentAditya Arie NugrahaFabian-Robert StöterRoland BadeauDerry FitzgeraldStefan UhlichYuki MitsufujiLaurent Daudet
- Topics
- Speech and Audio Processing (18 papers)Blind Source Separation Techniques (14 papers)Music and Audio Processing (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Signal Processing
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Antoine Liutkus
21 papers receiving 828 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 659
- Artificial Intelligence 207
- Computational Mechanics 200
- Computer Vision and Pattern Recognition 162
- Biomedical Engineering 93
Countries citing papers authored by Antoine Liutkus
This map shows the geographic impact of Antoine Liutkus'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 Antoine Liutkus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Liutkus more than expected).
Fields of papers citing papers by Antoine Liutkus
This network shows the impact of papers produced by Antoine Liutkus. 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 Antoine Liutkus. The network helps show where Antoine Liutkus may publish in the future.
Co-authorship network of co-authors of Antoine Liutkus
This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Liutkus. A scholar is included among the top collaborators of Antoine Liutkus 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 Antoine Liutkus. Antoine Liutkus 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 | 135 | |
| 3 | 1 | |
| 4 | 55 | |
| 5 | 62 | |
| 6 | 10 | |
| 7 | 37 | |
| 8 | 171 | |
| 9 | 14 | |
| 10 | 14 | |
| 11 | 0 | |
| 12 | 160 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 57 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 18 | |
| 19 | 56 | |
| 20 | 32 |
About Antoine Liutkus
Antoine Liutkus is a scholar working on Acoustics and Ultrasonics, Signal Processing and Computational Mechanics, having authored 24 papers that have together received 880 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Blind Source Separation Techniques (14 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Acoustics and Ultrasonics (81 citations), Signal Processing (659 citations) and Computational Mathematics (6 citations). Antoine Liutkus has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Emmanuel Vincent, Aditya Arie Nugraha, Fabian-Robert Stöter, Roland Badeau, Derry Fitzgerald, Stefan Uhlich, Yuki Mitsufuji, Laurent Daudet, Gaël Richard and Zafar Rafii. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Signal Processing.
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.