Markus Müller

62 total papers · 542 total citations
32 papers, 216 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 216 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 Canada. Markus Müller's co-authors include Alex Waibel, Sebastian Stüker, Jörg Franke, Matthias Sperber, Kevin Kilgour, Sebastian Stüker, Jan Niehues, Fatima Hamlaoui, Eunah Cho and Thanh-Le Ha 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

31 papers receiving 185 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Markus Müller	193	88	24	18	13	32	216
Alexander Gutkin	216 1.1×	130 1.5×	33 1.4×	21 1.2×	5 0.4×	30	247
Solomon Teferra Abate	169 0.9×	98 1.1×	14 0.6×	12 0.7×	11 0.8×	23	184
Jean Caelen	106 0.5×	52 0.6×	28 1.2×	21 1.2×	12 0.9×	42	175
Jindřich Žďánský	172 0.9×	144 1.6×	22 0.9×	12 0.7×	10 0.8×	41	198
Petr Červa	159 0.8×	131 1.5×	17 0.7×	12 0.7×	7 0.5×	43	179
Jan Nouza	229 1.2×	181 2.1×	37 1.5×	23 1.3×	11 0.8×	62	270
Aitor Álvarez	115 0.6×	85 1.0×	56 2.3×	25 1.4×	33 2.5×	27	200
Monika Woszczyna	295 1.5×	84 1.0×	17 0.7×	11 0.6×	12 0.9×	21	319
Adriana Stan	278 1.4×	108 1.2×	16 0.7×	22 1.2×	13 1.0×	48	325
Ivo Ipšić	170 0.9×	85 1.0×	42 1.8×	15 0.8×	5 0.4×	44	223

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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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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