Timo Gerkmann
- Signal Processing top 0.1%
- Speech and Audio Processing 128
- Music and Audio Processing 40
- Blind Source Separation Techniques 24
- Computational Mechanics top 0.5%
- Advanced Adaptive Filtering Techniques 78
- Cognitive Neuroscience top 2%
- Hearing Loss and Rehabilitation 32
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 38
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- Image and Signal Denoising Methods 7
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- Acoustic Wave Phenomena Research 9
- Co-authors
- Richard C. HendriksMartin KrawczykRainer MartinMartin Krawczyk-BeckerJulius RichterColin BreithauptSimon WelkerSimon Doclo
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (15 papers)IEEE Transactions on Audio Speech and Language Processing (3 papers)Journal of the Audio Engineering Society (3 papers)
- Partner nations
- GermanyNetherlandsSweden
In The Last Decade
Timo Gerkmann
135 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Signal Processing 2.5k
- Computational Mechanics 1.5k
- Cognitive Neuroscience 680
- Artificial Intelligence 827
- Computer Vision and Pattern Recognition 192
Countries citing papers authored by Timo Gerkmann
This map shows the geographic impact of Timo Gerkmann'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 Timo Gerkmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Gerkmann more than expected).
Fields of papers citing papers by Timo Gerkmann
This network shows the impact of papers produced by Timo Gerkmann. 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 Timo Gerkmann. The network helps show where Timo Gerkmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Timo Gerkmann, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 54 | |
| 7 | 2021 | 41 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 7 | |
| 10 | Robust DNN-Based Speech Enhancement with Limited Training Data. | 2018 | 2 |
| 11 | 2017 | 9 | |
| 12 | A framework for multi-channel speech dereverberation by exploiting sparsity | 2016 | 1 |
| 13 | A Combination of Pre-Trained Approaches and Generic Methods for an Improved Speech Enhancement. | 2016 | 1 |
| 14 | Combined Single-Microphone Wiener and MVDR Filtering based on Speech Interframe Correlations and Speech Presence Probability. | 2016 | 7 |
| 15 | 2015 | 17 | |
| 16 | 2015 | 44 | |
| 17 | Efficient Multi-Channel Acoustic Echo Cancellation Using Constrained Sparse Filter Updates in the Subband Domain | 2014 | 2 |
| 18 | Privacy preserving distributed beamforming based on homomorphic encryption | 2013 | 6 |
| 19 | Phase-sensitive real-time capable speech enhancement under voiced-unvoiced uncertainty | 2013 | 10 |
| 20 | Cepstral Smoothing with Reduced Computational Complexity. | 2010 | 1 |
About Timo Gerkmann
Timo Gerkmann is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience, having authored 146 papers that have together received 2.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (128 papers), Advanced Adaptive Filtering Techniques (78 papers), Music and Audio Processing (40 papers), Speech Recognition and Synthesis (38 papers), Hearing Loss and Rehabilitation (32 papers), Blind Source Separation Techniques (24 papers), Acoustic Wave Phenomena Research (9 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Signal Processing (2.5k citations), Computational Mechanics (1.5k citations) and Cognitive Neuroscience (680 citations). Timo Gerkmann has collaborated with scholars based in Germany, Netherlands and Sweden. Frequent co-authors include Richard C. Hendriks, Martin Krawczyk, Rainer Martin, Martin Krawczyk-Becker, Julius Richter, Colin Breithaupt, Simon Welker, Simon Doclo, Jonathan Le Roux and Jean-Marie Lemercier. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing, Journal of the Audio Engineering Society, IEEE Signal Processing Magazine and Trends in Hearing.
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.