Markus Müller

543 total citations
32 papers, 221 citations indexed

About

Markus Müller is a scholar working on Artificial Intelligence, Signal Processing and Language and Linguistics. According to data from OpenAlex, Markus Müller has authored 32 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Signal Processing and 3 papers in Language and Linguistics. Recurrent topics in Markus Müller's work include Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (10 papers). Markus Müller is often cited by papers focused on Speech Recognition and Synthesis (23 papers), Natural Language Processing Techniques (21 papers) and Speech and dialogue systems (10 papers). Markus Müller collaborates with scholars based in Germany, United States and France. Markus Müller's co-authors include Alex Waibel, Sebastian Stüker, Jörg Franke, Matthias Sperber, Sebastian Stüker, Kevin Kilgour, Jan Niehues, Fatima Hamlaoui, Thanh-Le Ha and Eunah Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Markus Müller

32 papers receiving 190 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Müller Germany	9	199	88	24	18	13	32	221
Alexander Gutkin United States	10	217 1.1×	130 1.5×	33 1.4×	21 1.2×	5 0.4×	31	249
Solomon Teferra Abate Ethiopia	10	182 0.9×	97 1.1×	14 0.6×	12 0.7×	12 0.9×	24	197
Petr Červa Czechia	8	159 0.8×	131 1.5×	17 0.7×	12 0.7×	7 0.5×	43	179
Jindřich Žďánský Czechia	8	167 0.8×	143 1.6×	22 0.9×	11 0.6×	9 0.7×	40	193
Adriana Stan Romania	10	279 1.4×	108 1.2×	16 0.7×	22 1.2×	13 1.0×	50	325
Julian Chan United States	8	204 1.0×	121 1.4×	15 0.6×	17 0.9×	9 0.7×	11	235
Ondřej Klejch United Kingdom	9	174 0.9×	77 0.9×	19 0.8×	15 0.8×	5 0.4×	23	210
Julián Salazar United States	5	158 0.8×	96 1.1×	25 1.0×	9 0.5×	4 0.3×	7	186
Zhuoyuan Yao China	6	223 1.1×	164 1.9×	16 0.7×	12 0.7×	5 0.4×	6	239
Sebastian Stüker Germany	8	235 1.2×	49 0.6×	57 2.4×	5 0.3×	7 0.5×	16	248

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-authorship network of co-authors of Markus Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Müller. A scholar is included among the top collaborators of Markus Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Müller. Markus Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yang, Yifan, et al.. (2025). Wanda++: Pruning Large Language Models via Regional Gradients. 4321–4333. 1 indexed citations

Wei, Kai, et al.. (2022). A Neural Prosody Encoder for End-to-End Dialogue Act Classification. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7047–7051. 2 indexed citations

Müller, Markus, et al.. (2021). Phonetically Induced Subwords for End-to-End Speech Recognition. 1992–1996. 3 indexed citations

Müller, Markus, Ariya Rastrow, Andreas Stolcke, et al.. (2021). Joint ASR and Language Identification Using RNN-T: An Efficient Approach to Dynamic Language Switching. 7218–7222. 17 indexed citations

Scharenborg, Odette, Laurent Besacier, Alan W. Black, et al.. (2020). Speech Technology for Unwritten Languages. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 964–975. 11 indexed citations

Müller, Markus, Sebastian Stüker, & Alex Waibel. (2019). Neural Codes to Factor Language in Multilingual Speech Recognition. 8638–8642. 2 indexed citations

Sperber, Matthias, et al.. (2018). Open Source Toolkit for Speech to Text Translation. SHILAP Revista de lepidopterología. 111(1). 125–135. 6 indexed citations

Ha, Thanh-Le, Markus Müller, Jan Niehues, et al.. (2018). KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning. Repository KITopen (Karlsruhe Institute of Technology). 89–93. 4 indexed citations

Müller, Markus, et al.. (2017). Yeah, Right, Uh-Huh: A Deep Learning Backchannel Predictor. arXiv (Cornell University). 247–258. 1 indexed citations

10.

Müller, Markus, et al.. (2017). Improving phoneme set discovery for documenting unwritten languages. KITopen. 4 indexed citations

11.

Müller, Markus, Sebastian Stüker, & Alex Waibel. (2016). Language Adaptive DNNs for Improved Low Resource Speech Recognition. 15 indexed citations

12.

Ritter, Marvin, Markus Müller, Sebastian Stüker, Florian Metze, & Alex Waibel. (2016). Training Deep Neural Networks for Reverberation Robust Speech Recognition. KITopen. 1–5. 3 indexed citations

13.

Franke, Jörg, Markus Müller, Fatima Hamlaoui, Sebastian Stüker, & Alex Waibel. (2016). Phoneme Boundary Detection using Deep Bidirectional LSTMs. KITopen. 1–5. 18 indexed citations

14.

Müller, Markus, Thai‐Son Nguyen, Jan Niehues, et al.. (2016). Lecture Translator - Speech translation framework for simultaneous lecture translation. 82–86. 10 indexed citations

15.

Müller, Markus, Sebastian Stüker, & Alex Waibel. (2016). Language Feature Vectors for Resource Constraint Speech Recognition. KITopen. 1–5. 2 indexed citations

16.

Müller, Markus & Alex Waibel. (2015). Using Language Adaptive Deep Neural Networks for Improved Multilingual Speech Recognition. KITopen. 16 indexed citations

17.

Kilgour, Kevin, Michael Heck, Markus Müller, et al.. (2014). The 2014 KIT IWSLT Speech-to-Text Systems for English, German and Italian. KITopen. 7 indexed citations

18.

Stüker, Sebastian, Markus Müller, Quốc Bảo Nguyễn, & Alex Waibel. (2014). Training time reduction and performance improvements from multilingual techniques on the BABEL ASR task. 6374–6378. 3 indexed citations

19.

Müller, Markus, et al.. (2014). Multilingual Deep Bottle Neck Features: A Study on Language Selection and Training Techniques. KITopen. 8 indexed citations

20.

Müller, Markus. (2007). Policy instruments for sustainability-oriented organizational learning. Development in Learning Organizations An International Journal. 21(5). 3 indexed citations

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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