Walter Kellermann

7.2k total citations
283 papers, 4.7k citations indexed

About

Walter Kellermann is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience. According to data from OpenAlex, Walter Kellermann has authored 283 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 259 papers in Signal Processing, 184 papers in Computational Mechanics and 45 papers in Cognitive Neuroscience. Recurrent topics in Walter Kellermann's work include Speech and Audio Processing (249 papers), Advanced Adaptive Filtering Techniques (184 papers) and Blind Source Separation Techniques (105 papers). Walter Kellermann is often cited by papers focused on Speech and Audio Processing (249 papers), Advanced Adaptive Filtering Techniques (184 papers) and Blind Source Separation Techniques (105 papers). Walter Kellermann collaborates with scholars based in Germany, China and Japan. Walter Kellermann's co-authors include Herbert Buchner, Robert Aichner, H. Teutsch, Roland Maas, Armin Sehr, Edwin Mabande, Fabian Kuech, Marcus Zeller, Wolfgang Herbordt and Sharon Gannot and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Walter Kellermann

272 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Kellermann Germany 33 4.3k 2.9k 764 747 702 283 4.7k
Patrick A. Naylor United Kingdom 31 4.1k 1.0× 2.1k 0.7× 461 0.6× 861 1.2× 1.2k 1.7× 327 4.6k
Sharon Gannot Israel 39 5.6k 1.3× 3.6k 1.2× 928 1.2× 993 1.3× 1.2k 1.7× 258 6.1k
Emanuël A. P. Habets Germany 32 4.1k 1.0× 2.3k 0.8× 702 0.9× 1.2k 1.6× 780 1.1× 284 4.4k
Simon Doclo Germany 31 4.0k 0.9× 2.9k 1.0× 1.0k 1.3× 1.6k 2.2× 459 0.7× 286 4.5k
Sven Nordholm Australia 28 2.3k 0.5× 1.8k 0.6× 566 0.7× 385 0.5× 303 0.4× 270 2.9k
Shoji Makino Japan 35 4.5k 1.0× 2.9k 1.0× 297 0.4× 583 0.8× 609 0.9× 260 4.8k
Rainer Martin Germany 28 3.9k 0.9× 2.7k 0.9× 446 0.6× 1.1k 1.4× 1.0k 1.4× 178 4.3k
Richard Heusdens Netherlands 25 3.9k 0.9× 2.1k 0.7× 437 0.6× 1.2k 1.7× 1.3k 1.9× 179 4.6k
Richard C. Hendriks Netherlands 23 4.1k 1.0× 2.4k 0.8× 545 0.7× 1.5k 2.0× 1.3k 1.8× 134 4.6k
Hiroshi Saruwatari Japan 31 4.2k 1.0× 2.0k 0.7× 335 0.4× 394 0.5× 1.8k 2.5× 484 4.9k

Countries citing papers authored by Walter Kellermann

Since Specialization
Citations

This map shows the geographic impact of Walter Kellermann'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 Walter Kellermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Kellermann more than expected).

Fields of papers citing papers by Walter Kellermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter Kellermann. 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 Walter Kellermann. The network helps show where Walter Kellermann may publish in the future.

Co-authorship network of co-authors of Walter Kellermann

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

All Works

20 of 20 papers shown
1.
Yin, Kaili, et al.. (2024). Nonlinear acoustic echo cancellation based on pipelined Hermite filters. Signal Processing. 220. 109470–109470. 3 indexed citations
3.
Ueda, Tetsuya, et al.. (2024). On Semi-Blind Source Separation-Based Approaches to Nonlinear Echo Cancellation Based on Bilinear Alternating Optimization. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 2973–2987. 2 indexed citations
4.
Huang, Gongping, et al.. (2023). Switching Kronecker Product Linear Filtering for Multispeaker Adaptive Speech Dereverberation. 1–5. 1 indexed citations
5.
Gannot, Sharon, Zheng‐Hua Tan, Martin Haardt, et al.. (2023). Data Science Education: The Signal Processing Perspective [SP Education]. IEEE Signal Processing Magazine. 40(7). 89–93. 1 indexed citations
6.
Gunther, Michael F., et al.. (2023). Microphone utility estimation in acoustic sensor networks using single-channel signal features. EURASIP Journal on Audio Speech and Music Processing. 2023(1).
7.
Richard, Gaël, Paris Smaragdis, Sharon Gannot, et al.. (2023). Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years. IEEE Signal Processing Magazine. 40(5). 12–26. 15 indexed citations
8.
Kellermann, Walter, et al.. (2022). Complex-Valued Spatial Autoencoders for Multichannel Speech Enhancement. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 261–265. 11 indexed citations
9.
Kellermann, Walter, et al.. (2020). Informed Source Extraction based on Independent Vector Analysis using Eigenvalue Decomposition. 875–879. 4 indexed citations
10.
Zheng, Chengshi, Antoine Deleforge, Xiaodong Li, & Walter Kellermann. (2018). Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(5). 951–966. 11 indexed citations
11.
Hofmann, Christian, et al.. (2014). Combined Nonlinear Echo Cancellation and Residual Echo Suppression. 1–4. 4 indexed citations
12.
Deleforge, Antoine, et al.. (2014). Challenges in Acoustic Signal Enhancement for Human-Robot Communication. 1–4. 15 indexed citations
13.
Schneider, Martin & Walter Kellermann. (2012). A direct derivation of transforms for wave-domain adaptive filtering based on circular harmonics. European Signal Processing Conference. 1034–1038. 11 indexed citations
14.
Yoshioka, Takuya, Armin Sehr, Marc Delcroix, et al.. (2012). Survey on approaches to speech recognition in reverberant environments. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 2 indexed citations
15.
Zeller, Marcus & Walter Kellermann. (2011). Evolutionary adaptive filtering based on competing filter structures. European Signal Processing Conference. 1264–1268. 5 indexed citations
16.
Zeller, Marcus & Walter Kellermann. (2010). Multirate Implementation of Aliasing-free Adaptive Volterra Filters by Interpolation of Higher-Order Kernel Inputs.. 1–4. 1 indexed citations
17.
Herre, Jürgen, Herbert Buchner, & Walter Kellermann. (2007). Acoustic Echo Cancellation for Surround Sound using Perceptually Motivated Convergence Enhancement. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). I–17. 47 indexed citations
18.
Buchner, Herbert, Sascha Spors, & Walter Kellermann. (2004). Full-Duplex Systems for Sound Field Recording and Auralization Based on Wave Field Synthesis. Journal of the Audio Engineering Society. 3 indexed citations
19.
Kuech, Fabian & Walter Kellermann. (2004). Coefficient-dependent step-size for adaptive second-order Volterra filters. European Signal Processing Conference. 1805–1808. 4 indexed citations
20.
Herbordt, Wolfgang & Walter Kellermann. (2000). GSAEC — Acoustic echo cancellation embedded into the generalized sidelobe canceller. European Signal Processing Conference. 1–4. 18 indexed citations

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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