Andreas Nautsch
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Biometric Identification and Security
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
Papers in
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- Speech Recognition and Synthesis 22
- Natural Language Processing Techniques 4
- Hate Speech and Cyberbullying Detection 2
- Authorship Attribution and Profiling 2
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- Speech and Audio Processing 15
- Music and Audio Processing 8
- Biometric Identification and Security 4
- Co-authors
- Massimiliano Todisco (12 shared papers)Nicholas Evans (10 shared papers)José Patino (11 shared papers)Hemlata Tak (4 shared papers)Anthony Larcher (1 shared paper)Junichi Yamagishi (8 shared papers)Christoph Busch (13 shared papers)Tomi Kinnunen (7 shared papers)
In The Last Decade
Andreas Nautsch
28 papers receiving 689 citations
Andreas Nautsch's Hit Papers
Peers
Comparison fields: 5 of 40
- Signal Processing 567
- Artificial Intelligence 477
- Computer Vision and Pattern Recognition 277
- Pharmacy 12
- Physiology 49
Countries citing papers authored by Andreas Nautsch
This map shows the geographic impact of Andreas Nautsch'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 Andreas Nautsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Nautsch more than expected).
Fields of papers citing papers by Andreas Nautsch
This network shows the impact of papers produced by Andreas Nautsch. 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 Andreas Nautsch. The network helps show where Andreas Nautsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Nautsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | End-to-End anti-spoofing with RawNet2 Hit paper breakdown → | 2021 | 191 |
| 2 | ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild Hit paper breakdown → | 2023 | 118 |
| 3 | 2017 | 78 | |
| 4 | 2020 | 70 | |
| 5 | 2022 | 42 | |
| 6 | 2020 | 40 | |
| 7 | 2019 | 36 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2016 | 12 | |
| 13 | 2019 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2015 | 7 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Andreas Nautsch
Andreas Nautsch is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications, having authored 30 papers that have together received 722 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (15 papers), Music and Audio Processing (8 papers), Natural Language Processing Techniques (4 papers), Biometric Identification and Security (4 papers), Face recognition and analysis (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Authorship Attribution and Profiling (2 papers). The work is most often cited by research in Signal Processing (567 citations), Artificial Intelligence (477 citations), Computer Vision and Pattern Recognition (277 citations), Pharmacy (12 citations) and Physiology (49 citations). Andreas Nautsch has collaborated with scholars based in France, Germany and Finland. Frequent co-authors include Massimiliano Todisco, Nicholas Evans, José Patino, Hemlata Tak, Anthony Larcher, Junichi Yamagishi, Christoph Busch, Tomi Kinnunen, Xin Wang and Kong Aik Lee. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, Speech Communication and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.