Elmar Nöth
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
-
- Phonetics and Phonology Research
- Emotion and Mood Recognition
Papers in
-
- Speech Recognition and Synthesis 202
- Speech and dialogue systems 105
- Natural Language Processing Techniques 85
- Topic Modeling 28
- Physiology 125
- Voice and Speech Disorders 125
- Co-authors
- Juan Rafael Orozco‐Arroyave (109 shared papers)Anton Batliner (109 shared papers)Juan Camilo Vásquez-Correa (69 shared papers)Tobias Bocklet (52 shared papers)Andreas Maier (64 shared papers)Stefan Steidl (27 shared papers)J. F. Vargas‐Bonilla (31 shared papers)Heinrich Niemann (57 shared papers)
- Journals
- Speech Communication (10 papers)Lecture notes in computer science (80 papers)Computer Speech & Language (7 papers)Scientific Reports (5 papers)Language Resources and Evaluation (4 papers)
- Partner nations
- GermanyColombiaUnited States
In The Last Decade
Elmar Nöth
387 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 149
- Signal Processing 1.9k
- Experimental and Cognitive Psychology 2.0k
- Artificial Intelligence 3.6k
- Physiology 2.3k
- Developmental Biology 111
Countries citing papers authored by Elmar Nöth
This map shows the geographic impact of Elmar Nöth'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 Elmar Nöth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elmar Nöth more than expected).
Fields of papers citing papers by Elmar Nöth
This network shows the impact of papers produced by Elmar Nöth. 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 Elmar Nöth. The network helps show where Elmar Nöth may publish in the future.
Co-authors
The 25 scholars most cited alongside Elmar Nöth, 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 414 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 230 | |
| 2 | 2018 | 196 | |
| 3 | 2012 | 175 | |
| 4 | 2016 | 162 | |
| 5 | 2009 | 135 | |
| 6 | 2004 | 120 | |
| 7 | 2015 | 104 | |
| 8 | 2008 | 98 | |
| 9 | 2019 | 92 | |
| 10 | 2017 | 91 | |
| 11 | 2018 | 90 | |
| 12 | 2019 | 89 | |
| 13 | 2016 | 87 | |
| 14 | 2015 | 87 | |
| 15 | 2006 | 80 | |
| 16 | 2000 | 80 | |
| 17 | 2006 | 76 | |
| 18 | 2020 | 73 | |
| 19 | 2019 | 72 | |
| 20 | 2017 | 72 |
About Elmar Nöth
Elmar Nöth is a scholar working on Artificial Intelligence, Physiology, Experimental and Cognitive Psychology, Signal Processing and Genetics, having authored 414 papers that have together received 6.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (202 papers), Voice and Speech Disorders (125 papers), Speech and dialogue systems (105 papers), Phonetics and Phonology Research (100 papers), Speech and Audio Processing (89 papers), Natural Language Processing Techniques (85 papers), Music and Audio Processing (48 papers) and Topic Modeling (28 papers). The work is most often cited by research in Signal Processing (1.9k citations), Experimental and Cognitive Psychology (2.0k citations), Artificial Intelligence (3.6k citations), Physiology (2.3k citations) and Developmental Biology (111 citations). Elmar Nöth has collaborated with scholars based in Germany, Colombia and United States. Frequent co-authors include Juan Rafael Orozco‐Arroyave, Anton Batliner, Juan Camilo Vásquez-Correa, Tobias Bocklet, Andreas Maier, Stefan Steidl, J. F. Vargas‐Bonilla, Heinrich Niemann, Maria Schuster and Florian Hönig. Their work appears in journals such as Speech Communication, Lecture notes in computer science, Computer Speech & Language, Scientific Reports and Language Resources and Evaluation.
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.