Andreas Nautsch

3.0k total citations · 2 hit papers
30 papers, 722 citations indexed

About

Andreas Nautsch is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Nautsch has authored 30 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 21 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Nautsch's work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (8 papers). Andreas Nautsch is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (8 papers). Andreas Nautsch collaborates with scholars based in France, Germany and Finland. Andreas Nautsch's co-authors include Massimiliano Todisco, Nicholas Evans, José Patino, Hemlata Tak, Anthony Larcher, Christoph Busch, Junichi Yamagishi, Christian Rathgeb, Tomi Kinnunen and Xin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters and Speech Communication.

In The Last Decade

Andreas Nautsch

28 papers receiving 689 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

End-to-End anti-spoofing with RawNet2

2021 191 citations Hemlata Tak, José Patino et al. profile →
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

2023 118 citations Xuechen Liu, Xin Wang et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andreas Nautsch France	12	567	477	277	49	40	30	722
Anthony Larcher France	12	825 1.5×	776 1.6×	195 0.7×	28 0.6×	60 1.5×	34	967
Nicholas Evans France	8	343 0.6×	258 0.5×	160 0.6×	26 0.5×	61 1.5×	11	441
Driss Matrouf France	13	622 1.1×	552 1.2×	163 0.6×	9 0.2×	63 1.6×	55	736
Jee-weon Jung South Korea	15	600 1.1×	617 1.3×	150 0.5×	28 0.6×	15 0.4×	58	764
Téva Merlin France	7	548 1.0×	573 1.2×	118 0.4×	13 0.3×	42 1.1×	16	706
Federico Alegre France	6	499 0.9×	504 1.1×	66 0.2×	53 1.1×	43 1.1×	10	579
Jichen Yang China	17	566 1.0×	505 1.1×	187 0.7×	48 1.0×	11 0.3×	49	681
Fuming Fang Japan	7	213 0.4×	319 0.7×	345 1.2×	21 0.4×	13 0.3×	16	632
Fabio Brugnara Italy	12	405 0.7×	592 1.2×	73 0.3×	30 0.6×	10 0.3×	44	673
Gilles Boulianne Canada	13	1.2k 2.1×	1.3k 2.7×	236 0.9×	11 0.2×	19 0.5×	64	1.5k

Countries citing papers authored by Andreas Nautsch

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andreas Nautsch

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Nautsch. A scholar is included among the top collaborators of Andreas Nautsch 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 Andreas Nautsch. Andreas Nautsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kinnunen, Tomi, Kong Aik Lee, Hemlata Tak, Nicholas Evans, & Andreas Nautsch. (2023). t-EER: Parameter-Free Tandem Evaluation of Countermeasures and Biometric Comparators. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2622–2637. 1 indexed citations

Liu, Xuechen, Xin Wang, Md Sahidullah, et al.. (2023). ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 2507–2522. 118 indexed citations breakdown →

Gomez‐Barrero, Marta, Pawel Drozdowski, Christian Rathgeb, et al.. (2022). Biometrics in the Era of COVID-19: Challenges and Opportunities. arXiv (Cornell University). 3(4). 307–322. 42 indexed citations

Liu, Xuechen, Md Sahidullah, José Patino, et al.. (2022). ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild. arXiv (Cornell University). 3 indexed citations

Nautsch, Andreas, et al.. (2022). A Bridge between Features and Evidence for Binary Attribute-Driven Perfect Privacy. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 43. 3094–3098. 4 indexed citations

Tomashenko, Natalia, Emmanuel Vincent, José Patino, et al.. (2022). The VoicePrivacy 2020 Challenge: Results and findings. Computer Speech & Language. 74. 101362–101362. 2 indexed citations

Nautsch, Andreas, Nicholas Evans, José Patino, et al.. (2021). Towards a unified assessment framework of speech pseudonymisation. Computer Speech & Language. 72. 101299–101299. 15 indexed citations

Delgado, Héctor, Nicholas Evans, Tomi Kinnunen, et al.. (2021). ASVspoof 2021 Challenge - Speech Deepfake Database. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

Delgado, Héctor, Nicholas Evans, Tomi Kinnunen, et al.. (2021). ASVspoof 2021 Challenge - Physical Access Database. Zenodo (CERN European Organization for Nuclear Research).

10.

Tak, Hemlata, José Patino, Andreas Nautsch, Nicholas Evans, & Massimiliano Todisco. (2020). Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers. HAL (Le Centre pour la Communication Scientifique Directe). 1106–1110. 40 indexed citations

11.

Tak, Hemlata, José Patino, Andreas Nautsch, Nicholas Evans, & Massimiliano Todisco. (2020). An Explainability Study of the Constant Q Cepstral Coefficient Spoofing Countermeasure for Automatic Speaker Verification. 333–340. 23 indexed citations

12.

Nautsch, Andreas, José Patino, Natalia Tomashenko, et al.. (2020). The Privacy ZEBRA: Zero Evidence Biometric Recognition Assessment. arXiv (Cornell University). 1698–1702. 17 indexed citations

13.

Nautsch, Andreas, et al.. (2017). Making Likelihood Ratios Digestible for Cross-Application Performance Assessment. IEEE Signal Processing Letters. 24(10). 1552–1556. 4 indexed citations

14.

Scherhag, Ulrich, Andreas Nautsch, Christian Rathgeb, et al.. (2017). Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting. University of Twente Research Information. 1–7. 78 indexed citations

15.

Scherhag, Ulrich, Andreas Nautsch, Christian Rathgeb, & Christoph Busch. (2016). Unit-Selection Attack Detection Based on Unfiltered Frequency-Domain Features. 2209–2213. 2 indexed citations

16.

Rathgeb, Christian, et al.. (2016). Multi-Bit Allocation: Preparing Voice Biometrics for Template Protection. 291–296. 8 indexed citations

17.

Nautsch, Andreas, Christian Rathgeb, Rahim Saeidi, & Christoph Busch. (2015). Entropy analysis of i-vector feature spaces in duration-sensitive speaker recognition. 4674–4678. 7 indexed citations

18.

Nautsch, Andreas, Rahim Saeidi, Christian Rathgeb, & Christoph Busch. (2015). Analysis of mutual duration and noise effects in speaker recognition: benefits of condition-matched cohort selection in score normalization. 3006–3010. 2 indexed citations

19.

Nautsch, Andreas, Christian Rathgeb, & Christoph Busch. (2014). Bridging Gaps: An application of feature warping to online signature verification. 1–6. 6 indexed citations

20.

Nautsch, Andreas, et al.. (2012). Improving channel robustness in text-independent speaker verification using adaptive virtual cohort models. 1–5.

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.

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