Andreas Büchner
- Sensory Systems top 0.2%
- Hearing, Cochlea, Tinnitus, Genetics 56
- Speech and Hearing top 0.2%
- Noise Effects and Management 46
- Cognitive Neuroscience top 0.5%
- Hearing Loss and Rehabilitation 116
- Neuroscience and Music Perception 12
- Otorhinolaryngology top 1%
- Ear Surgery and Otitis Media 12
- Signal Processing top 1%
- Speech and Audio Processing 32
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- Acoustic Wave Phenomena Research 12
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- Multisensory perception and integration 10
- Co-authors
- Thomas LenarzWaldo NogueiraAnke Lesinski‐SchiedatAngelika IllgOmid MajdaniGert JosephMinoo LenarzMareike Finke
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Andreas Büchner
120 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 89
- Sensory Systems 1.3k
- Speech and Hearing 954
- Cognitive Neuroscience 2.3k
- Otorhinolaryngology 295
- Signal Processing 554
Countries citing papers authored by Andreas Büchner
This map shows the geographic impact of Andreas Büchner'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 Büchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Büchner more than expected).
Fields of papers citing papers by Andreas Büchner
This network shows the impact of papers produced by Andreas Büchner. 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 Büchner. The network helps show where Andreas Büchner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Büchner, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2020 | 9 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 29 | |
| 9 | Development of a Sound Coding Strategy based on a Deep Recurrent Neural Network for Monaural Source Separation in Cochlear Implants | 2016 | 8 |
| 10 | 2016 | 72 | |
| 11 | 2016 | 4 | |
| 12 | 2014 | 88 | |
| 13 | 2014 | 60 | |
| 14 | 2012 | 21 | |
| 15 | 2012 | 27 | |
| 16 | 2011 | 15 | |
| 17 | 2010 | 23 | |
| 18 | 2009 | 100 | |
| 19 | 2006 | 17 | |
| 20 | Fundamental Frequency Coding in NofM Strategies for Cochlear Implants | 2005 | 3 |
About Andreas Büchner
Andreas Büchner is a scholar working on Sensory Systems, Speech and Hearing, Cognitive Neuroscience, Signal Processing and Otorhinolaryngology, having authored 122 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (116 papers), Hearing, Cochlea, Tinnitus, Genetics (56 papers), Noise Effects and Management (46 papers), Speech and Audio Processing (32 papers), Ear Surgery and Otitis Media (12 papers), Acoustic Wave Phenomena Research (12 papers), Neuroscience and Music Perception (12 papers) and Multisensory perception and integration (10 papers). The work is most often cited by research in Sensory Systems (1.3k citations), Speech and Hearing (954 citations), Cognitive Neuroscience (2.3k citations), Otorhinolaryngology (295 citations) and Signal Processing (554 citations). Andreas Büchner has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Thomas Lenarz, Waldo Nogueira, Anke Lesinski‐Schiedat, Angelika Illg, Omid Majdani, Gert Joseph, Minoo Lenarz, Mareike Finke, Bernd Edler and Rolf Salcher. Their work appears in journals such as Hearing Research, Cochlear Implants International, PLoS ONE, Otology & Neurotology and Ear and 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.