Georg Stemmer
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 19
- Speech and dialogue systems 5
- Natural Language Processing Techniques 3
-
- Speech and Audio Processing 13
- Music and Audio Processing 10
- Co-authors
- Elmar Nöth (12 shared papers)Fabio Brugnara (3 shared papers)Christian Hacker (6 shared papers)Tobias Bocklet (3 shared papers)Florian Hönig (2 shared papers)Heinrich Niemann (3 shared papers)Diego Giuliani (1 shared paper)Stefan Steidl (2 shared papers)
- Journals
- Machine Vision and Applications (1 paper)EURASIP Journal on Audio Speech and Music Processing (1 paper)Conference of the International Speech Communication Association (1 paper)OPUS (Augsburg University) (1 paper)PubMed (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Georg Stemmer
25 papers receiving 344 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 210
- Artificial Intelligence 291
- Experimental and Cognitive Psychology 80
- Developmental Biology 6
- Physiology 71
Countries citing papers authored by Georg Stemmer
This map shows the geographic impact of Georg Stemmer'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 Georg Stemmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Stemmer more than expected).
Fields of papers citing papers by Georg Stemmer
This network shows the impact of papers produced by Georg Stemmer. 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 Georg Stemmer. The network helps show where Georg Stemmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Georg Stemmer, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 57 | |
| 2 | 2011 | 47 | |
| 3 | 2006 | 40 | |
| 4 | 2003 | 37 | |
| 5 | 2000 | 28 | |
| 6 | 1999 | 26 | |
| 7 | 2001 | 23 | |
| 8 | 2010 | 20 | |
| 9 | 2009 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2007 | 16 | |
| 12 | 2017 | 13 | |
| 13 | 2006 | 12 | |
| 14 | 2003 | 11 | |
| 15 | 2004 | 9 | |
| 16 | 2014 | 6 | |
| 17 | Speech Recognition and Understanding on Hardware-Accelerated DSP. | 2017 | 5 |
| 18 | 2003 | 3 | |
| 19 | 2003 | 3 | |
| 20 | 2005 | 3 |
About Georg Stemmer
Georg Stemmer is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Physiology, having authored 25 papers that have together received 405 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (13 papers), Music and Audio Processing (10 papers), Speech and dialogue systems (5 papers), Natural Language Processing Techniques (3 papers), Advanced Data Compression Techniques (2 papers), Voice and Speech Disorders (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Signal Processing (210 citations), Artificial Intelligence (291 citations), Experimental and Cognitive Psychology (80 citations), Developmental Biology (6 citations) and Physiology (71 citations). Georg Stemmer has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Elmar Nöth, Fabio Brugnara, Christian Hacker, Tobias Bocklet, Florian Hönig, Heinrich Niemann, Diego Giuliani, Stefan Steidl, Jan Rusz and Hana Růžičková. Their work appears in journals such as Machine Vision and Applications, EURASIP Journal on Audio Speech and Music Processing, Conference of the International Speech Communication Association, OPUS (Augsburg University) and PubMed.
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.