Simon Doclo
Impact in
- Signal Processing top 0.05%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Music and Audio Processing
- Direction-of-Arrival Estimation Techniques
- Computational Mechanics top 0.2%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Speech and Audio Processing 277
- Blind Source Separation Techniques 38
- Music and Audio Processing 19
- Direction-of-Arrival Estimation Techniques 16
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- Advanced Adaptive Filtering Techniques 219
- Co-authors
- Marc Moonen (52 shared papers)Jan Wouters (26 shared papers)Jingdong Chen (3 shared papers)Jacob Benesty (3 shared papers)Yiteng Huang (2 shared papers)Daniel Marquardt (27 shared papers)Ina Kodrasi (25 shared papers)Henning Schepker (36 shared papers)
In The Last Decade
Simon Doclo
275 papers receiving 4.7k citations
Simon Doclo's Hit Papers
Peers
Comparison fields: 5 of 90
- Signal Processing 4.4k
- Computational Mechanics 3.1k
- Cognitive Neuroscience 1.7k
- Speech and Hearing 164
- Biomedical Engineering 1.1k
Countries citing papers authored by Simon Doclo
This map shows the geographic impact of Simon Doclo'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 Simon Doclo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Doclo more than expected).
Fields of papers citing papers by Simon Doclo
This network shows the impact of papers produced by Simon Doclo. 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 Simon Doclo. The network helps show where Simon Doclo may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Doclo, 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 293 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | New insights into the noise reduction Wiener filter Hit paper breakdown → | 2006 | 497 |
| 2 | 2002 | 310 | |
| 3 | 2015 | 148 | |
| 4 | 2003 | 135 | |
| 5 | 2007 | 125 | |
| 6 | 2007 | 124 | |
| 7 | 2009 | 108 | |
| 8 | 2009 | 98 | |
| 9 | 2009 | 96 | |
| 10 | 2015 | 88 | |
| 11 | 2003 | 72 | |
| 12 | 2007 | 70 | |
| 13 | 2003 | 69 | |
| 14 | 2016 | 69 | |
| 15 | 2005 | 65 | |
| 16 | 2008 | 58 | |
| 17 | 2015 | 56 | |
| 18 | 2018 | 54 | |
| 19 | 2005 | 53 | |
| 20 | 2016 | 53 |
About Simon Doclo
Simon Doclo is a scholar working on Signal Processing, Computational Mechanics, Cognitive Neuroscience, Biomedical Engineering and Artificial Intelligence, having authored 293 papers that have together received 4.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (277 papers), Advanced Adaptive Filtering Techniques (219 papers), Hearing Loss and Rehabilitation (102 papers), Acoustic Wave Phenomena Research (83 papers), Blind Source Separation Techniques (38 papers), Speech Recognition and Synthesis (25 papers), Music and Audio Processing (19 papers) and Direction-of-Arrival Estimation Techniques (16 papers). The work is most often cited by research in Signal Processing (4.4k citations), Computational Mechanics (3.1k citations), Cognitive Neuroscience (1.7k citations), Speech and Hearing (164 citations) and Biomedical Engineering (1.1k citations). Simon Doclo has collaborated with scholars based in Germany, Belgium and Israel. Frequent co-authors include Marc Moonen, Jan Wouters, Jingdong Chen, Jacob Benesty, Yiteng Huang, Daniel Marquardt, Ina Kodrasi, Henning Schepker, Sharon Gannot and Ann Spriet. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, IEEE Transactions on Audio Speech and Language Processing and Signal Processing.
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.