Markus Müller

545 citations
32 papers · 223 · h-index 9

Impact in

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

Papers in

    • Speech Recognition and Synthesis 23
    • Natural Language Processing Techniques 21
    • Speech and dialogue systems 10
    • Topic Modeling 7
    • Music and Audio Processing 9
    • Speech and Audio Processing 6

Markus Müller

32 papers receiving 193 citations

Peers

Markus Müller
Comparison fields: 5 of 41
  • Signal Processing 90
  • Artificial Intelligence 201
  • Experimental and Cognitive Psychology 18
  • Language and Linguistics 13
  • Computer Vision and Pattern Recognition 24
Replace Solomon Teferra Abate with:
Solomon Teferra Abate Ethiopia
Adriana Stan Romania
Julian Chan United States
Siddharth Dalmia United States
Jindřich Žďánský Czechia
Zhiyong Yan China
Ottokar Tilk Estonia
Julián Salazar United States
Petr Červa Czechia
Audrey N. Le United States
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Citations per field
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Citations per year

Countries citing papers authored by Markus Müller

Since Specialization
Citations

This map shows the geographic impact of Markus Müller'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 Markus Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Müller more than expected).

Fields of papers citing papers by Markus Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Müller. 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 Markus Müller. The network helps show where Markus Müller may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Müller, 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 Markus Müller Line = papers co-authored together Markus Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201626
2 202119
3 201618
4 201516
5 201615
6 201714
7 202011
8 201610
9 201610
10 20178
11 20158
12 20148
13 20147
14 20186
15 20154
16 20174
17 20184
18 20163
19 20143
20 20163

About Markus Müller

Markus Müller is a scholar working on Artificial Intelligence, Signal Processing, Language and Linguistics, Experimental and Cognitive Psychology and Computer Science Applications, having authored 32 papers that have together received 223 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (21 papers), Speech and dialogue systems (10 papers), Music and Audio Processing (9 papers), Topic Modeling (7 papers), Speech and Audio Processing (6 papers), Translation Studies and Practices (2 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Signal Processing (90 citations), Artificial Intelligence (201 citations), Experimental and Cognitive Psychology (18 citations), Language and Linguistics (13 citations) and Computer Vision and Pattern Recognition (24 citations). Markus Müller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alex Waibel, Sebastian Stüker, Jörg Franke, Matthias Sperber, Sebastian Stüker, Kevin Kilgour, Jan Niehues, Eunah Cho, Thanh-Le Ha and Thai‐Son Nguyen. Their work appears in journals such as Language Resources and Evaluation, IEEE/ACM Transactions on Audio Speech and Language Processing, Development in Learning Organizations An International Journal, Procedia CIRP and HAL (Le Centre pour la Communication Scientifique Directe).

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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