Bernd Möbius

123 papers receiving 1.1k citations

Peers

Bernd Möbius
Comparison fields: 5 of 63
  • Linguistics and Language 316
  • Experimental and Cognitive Psychology 792
  • Artificial Intelligence 837
  • Signal Processing 218
  • Language and Linguistics 209
Replace Florian Schiel with:
Florian Schiel Germany
Volker Dellwo Switzerland
Ewa Jacewicz United States
Jiahong Yuan United States
Hosung Nam United States
Marc Garellek United States
Mattias Heldner Sweden
Jacqueline Vaissière France
Marianne Pouplier Germany
Louis Goldstein United States
Bernd Möbius relative to Florian Schiel Germany Florian Schiel's profile →
Citations per field
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Florian Schiel · 1×
Citations per year

Countries citing papers authored by Bernd Möbius

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Möbius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201170
2 200169
3 201048
4 200044
5 200339
6
Towards a Unified Exemplar-Theoretic Model of Phonetic and Syntactic Phenomena
200733
7
Multilingual syllabification using weighted finite-state transducers.
199830
8 200530
9 199329
10 201428
11 200228
12 199326
13 201425
14 200424
15 200423
16 201621
17 200921
18 200521
19 200320
20 201119

About Bernd Möbius

Bernd Möbius is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Linguistics and Language, Signal Processing and Language and Linguistics, having authored 133 papers that have together received 1.3k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (84 papers), Speech Recognition and Synthesis (64 papers), Speech and dialogue systems (36 papers), Linguistic Variation and Morphology (31 papers), Natural Language Processing Techniques (29 papers), Speech and Audio Processing (21 papers), Syntax, Semantics, Linguistic Variation (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Linguistics and Language (316 citations), Experimental and Cognitive Psychology (792 citations), Artificial Intelligence (837 citations), Signal Processing (218 citations) and Language and Linguistics (209 citations). Bernd Möbius has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Jan P. H. van Santen, Antje Schweitzer, Hinrich Schütze, Jürgen Trouvain, Travis Wade, Michael Walsh, Antonis Botinis, Björn Granström, Bistra Andreeva and Petra Wagner. Their work appears in journals such as Speech Communication, Journal of Phonetics, Frontiers in Communication, Laboratory Phonology Journal of the Association for Laboratory Phonology and Journal of Voice.

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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