Rüdiger Hoffmann

584 citations
66 papers · 360 · h-index 8

Impact in

Papers in

    • Speech Recognition and Synthesis 39
    • Speech and dialogue systems 17
    • Natural Language Processing Techniques 8
    • Speech and Audio Processing 19
    • Music and Audio Processing 12

Rüdiger Hoffmann

56 papers receiving 320 citations

Peers

Rüdiger Hoffmann
Comparison fields: 5 of 58
  • Signal Processing 103
  • Physical and Theoretical Chemistry 80
  • Experimental and Cognitive Psychology 75
  • Linguistics and Language 26
  • Spectroscopy 86
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Citations per field
00.5×10×13.3×
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Citations per year

Countries citing papers authored by Rüdiger Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Rüdiger Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Rüdiger Hoffmann, 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 Rüdiger Hoffmann Line = papers co-authored together Rüdiger Hoffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994120
2 200723
3 199220
4 200019
5 201316
6 201614
7
Perception and analysis of Chinese accented German vowels
20079
8 20069
9 20107
10 20136
11 20146
12
Creating an individual speech rhythm: a data driven approach.
19985
13 20025
14 20135
15 20065
16 20085
17 19985
18 20094
19 20004
20 20074

About Rüdiger Hoffmann

Rüdiger Hoffmann is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Linguistics and Language, having authored 66 papers that have together received 360 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (39 papers), Phonetics and Phonology Research (23 papers), Speech and Audio Processing (19 papers), Speech and dialogue systems (17 papers), Music and Audio Processing (12 papers), Natural Language Processing Techniques (8 papers), Music Technology and Sound Studies (7 papers) and Linguistic Variation and Morphology (4 papers). The work is most often cited by research in Signal Processing (103 citations), Physical and Theoretical Chemistry (80 citations), Experimental and Cognitive Psychology (75 citations), Linguistics and Language (26 citations) and Spectroscopy (86 citations). Rüdiger Hoffmann has collaborated with scholars based in Germany, China and France. Frequent co-authors include Hans‐Jürgen Buschmann, Wilhelm Knoche, Hongwei Ding, Matthias Wolff, Matthias Eichner, Oliver Jokisch, Daniel Hirst, K. Bal Reddy, Rudi van Eldik and Hamurabi Gamboa-Rosales. Their work appears in journals such as Journal of the Audio Engineering Society, Organometallics, Archives of Acoustics, Journal of the Chemical Society Faraday Transactions and SSW.

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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