Georg Stemmer

630 citations
35 papers · 492 · h-index 14

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Topic Modeling

Papers in

    • Speech Recognition and Synthesis 25
    • Speech and dialogue systems 8
    • Natural Language Processing Techniques 6
    • Topic Modeling 3
    • Neural Networks and Applications 2
    • Speech and Audio Processing 17
    • Music and Audio Processing 13

Georg Stemmer

32 papers receiving 428 citations

Peers

Georg Stemmer
Comparison fields: 5 of 55
  • Signal Processing 243
  • Artificial Intelligence 347
  • Experimental and Cognitive Psychology 89
  • Physiology 88
  • Developmental Biology 6
Replace Ming Tu with:
Ming Tu United States
Miloš Cerňak Switzerland
Phani Sankar Nidadavolu United States
Phil Hoole Germany
Ravichander Vipperla United Kingdom
Asterios Toutios United States
J.-P. Martens Belgium
Jeung-Yoon Choi United States
Cuiling Zhang China
S.W. Beet United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Georg Stemmer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Georg Stemmer Line = papers co-authored together Georg Stemmer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200566
2 201160
3 200641
4 200341
5 200029
6 199926
7 200125
8 201024
9 200922
10 202120
11 200717
12 200315
13 200313
14 201713
15 200613
16 200411
17 20018
18
Speech Recognition and Understanding on Hardware-Accelerated DSP.
20176
19 20146
20 20025

About Georg Stemmer

Georg Stemmer is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Physiology and Experimental and Cognitive Psychology, having authored 35 papers that have together received 492 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (17 papers), Music and Audio Processing (13 papers), Speech and dialogue systems (8 papers), Natural Language Processing Techniques (6 papers), Voice and Speech Disorders (3 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (243 citations), Artificial Intelligence (347 citations), Experimental and Cognitive Psychology (89 citations), Physiology (88 citations) and Developmental Biology (6 citations). Georg Stemmer has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Elmar Nöth, Fabio Brugnara, Christian Hacker, Heinrich Niemann, Tobias Bocklet, Florian Hönig, Stefan Steidl, Diego Giuliani, Jan Rusz and Hana Růžičková. Their work appears in journals such as Lecture notes in computer science, Machine Vision and Applications, EURASIP Journal on Audio Speech and Music Processing, Conference of the International Speech Communication Association and OPUS (Augsburg University).

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.

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