Khaled Koutini
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
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- Animal Vocal Communication and Behavior
Papers in
-
- Music and Audio Processing 9
- Speech and Audio Processing 9
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- Speech Recognition and Synthesis 7
- Domain Adaptation and Few-Shot Learning 1
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Gerhard Widmer (9 shared papers)Hamid Eghbal-zadeh (4 shared papers)Jan Schlüter (1 shared paper)Florian Schmid (4 shared papers)Bernhard Lehner (1 shared paper)Maura Pintor (1 shared paper)Kathrin Grosse (1 shared paper)Werner Zellinger (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Information Sciences (1 paper)Interspeech 2022 (1 paper)MediaEval (2 papers)
- Partner nations
- AustriaUnited StatesItaly
In The Last Decade
Khaled Koutini
10 papers receiving 216 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 173
- Developmental Biology 15
- Computer Vision and Pattern Recognition 65
- Artificial Intelligence 98
- Music 9
Countries citing papers authored by Khaled Koutini
This map shows the geographic impact of Khaled Koutini'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 Khaled Koutini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled Koutini more than expected).
Fields of papers citing papers by Khaled Koutini
This network shows the impact of papers produced by Khaled Koutini. 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 Khaled Koutini. The network helps show where Khaled Koutini may publish in the future.
Co-authors
The 13 scholars most cited alongside Khaled Koutini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 124 | |
| 2 | 2021 | 32 | |
| 3 | 2023 | 30 | |
| 4 | 2024 | 12 | |
| 5 | Acoustic Scene Classification with Reject Option Based on Resnets | 2019 | 9 |
| 6 | 2023 | 8 | |
| 7 | 2023 | 5 | |
| 8 | Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs | 2019 | 2 |
| 9 | 2023 | 2 | |
| 10 | MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. | 2017 | 1 |
About Khaled Koutini
Khaled Koutini is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 225 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Speech and Audio Processing (9 papers), Speech Recognition and Synthesis (7 papers), Music Technology and Sound Studies (2 papers), Advanced Neural Network Applications (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Signal Processing (173 citations), Developmental Biology (15 citations), Computer Vision and Pattern Recognition (65 citations), Artificial Intelligence (98 citations) and Music (9 citations). Khaled Koutini has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Gerhard Widmer, Hamid Eghbal-zadeh, Jan Schlüter, Florian Schmid, Bernhard Lehner, Maura Pintor, Kathrin Grosse, Werner Zellinger, Bernhard Moser and Battista Biggio. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Information Sciences, Interspeech 2022 and MediaEval.
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.