Andrew Rouditchenko
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
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- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Music Technology and Sound Studies
Papers in
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- Music and Audio Processing 9
- Speech and Audio Processing 7
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- Multimodal Machine Learning Applications 5
- Human Pose and Action Recognition 3
- Video Analysis and Summarization 2
- Image and Signal Denoising Methods 1
- Co-authors
- Hang Zhao (2 shared papers)Josh H. McDermott (2 shared papers)Chuang Gan (2 shared papers)Antonio Torralba (2 shared papers)Carl Vondrick (1 shared paper)James Glass (11 shared papers)Hilde Kuehne (8 shared papers)Samuel Thomas (8 shared papers)
- Journals
- IEEE Signal Processing Letters (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lecture notes in computer science (2 papers)Computer Vision and Pattern Recognition (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Andrew Rouditchenko
11 papers receiving 406 citations
Andrew Rouditchenko's Hit Papers
Peers
Comparison fields: 5 of 49
- Signal Processing 265
- Computer Vision and Pattern Recognition 246
- Artificial Intelligence 124
- Cognitive Neuroscience 66
- Developmental Biology 4
Countries citing papers authored by Andrew Rouditchenko
This map shows the geographic impact of Andrew Rouditchenko'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 Andrew Rouditchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Rouditchenko more than expected).
Fields of papers citing papers by Andrew Rouditchenko
This network shows the impact of papers produced by Andrew Rouditchenko. 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 Andrew Rouditchenko. The network helps show where Andrew Rouditchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Rouditchenko, 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 | The Sound of Pixels Hit paper breakdown → | 2018 | 290 |
| 2 | 2021 | 55 | |
| 3 | 2022 | 27 | |
| 4 | 2022 | 18 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 4 | |
| 9 | Self-Supervised Segmentation and Source Separation on Videos | 2019 | 2 |
| 10 | 2021 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Andrew Rouditchenko
Andrew Rouditchenko is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience and Language and Linguistics, having authored 16 papers that have together received 423 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Speech and Audio Processing (7 papers), Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (3 papers), Speech Recognition and Synthesis (3 papers), Video Analysis and Summarization (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (265 citations), Computer Vision and Pattern Recognition (246 citations), Artificial Intelligence (124 citations), Cognitive Neuroscience (66 citations) and Developmental Biology (4 citations). Andrew Rouditchenko has collaborated with scholars based in United States and Germany. Frequent co-authors include Hang Zhao, Josh H. McDermott, Chuang Gan, Antonio Torralba, Carl Vondrick, James Glass, Hilde Kuehne, Samuel Thomas, Yuan Gong and Brian Kingsbury. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science, Computer Vision and Pattern Recognition and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
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.