Marcel Wältermann

29 papers receiving 375 citations

Peers

Marcel Wältermann
Comparison fields: 5 of 38
  • Signal Processing 231
  • Computer Vision and Pattern Recognition 199
  • Computational Mechanics 85
  • Cognitive Neuroscience 63
  • Computer Networks and Communications 80
Replace Christian Schmidmer with:
Christian Schmidmer Germany
Michael P. Hollier
Flávio Ribeiro Brazil
Gerald Schuller Germany
W. Verhelst Belgium
Schuyler Quackenbush United States
Catherine Colomes France
Dongsuk Yook South Korea
Jeongil Seo South Korea
Louis D. Fielder United States
Marcel Wältermann relative to Christian Schmidmer Germany Christian Schmidmer's profile →
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Countries citing papers authored by Marcel Wältermann

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Wältermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Marcel Wältermann, 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 Marcel Wältermann Line = papers co-authored together Marcel Wältermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011103
2 200651
3 201137
4 201335
5 201030
6 200921
7 201414
8 200613
9 201013
10 200812
11 20089
12 20069
13
Which Wideband Speech Codec? Quality Impact Due to Room-Acoustics at Send Side and Presentation Method
20096
14 20096
15 20086
16 20106
17
Direct Quantification of Latent Speech Quality Dimensions
20125
18
The Sound Character Space of Spectrally Distorted Telephone Speech and Its Impact on Quality
20084
19 20104
20 20114

About Marcel Wältermann

Marcel Wältermann is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 31 papers that have together received 405 indexed citations. Recurring topics across this work include Speech and Audio Processing (15 papers), Advanced Data Compression Techniques (9 papers), Advanced Adaptive Filtering Techniques (8 papers), IPv6, Mobility, Handover, Networks, Security (5 papers), Wireless Communication Networks Research (3 papers), Speech Recognition and Synthesis (3 papers), Image and Video Quality Assessment (3 papers) and Color perception and design (2 papers). The work is most often cited by research in Signal Processing (231 citations), Computer Vision and Pattern Recognition (199 citations), Computational Mechanics (85 citations), Cognitive Neuroscience (63 citations) and Computer Networks and Communications (80 citations). Marcel Wältermann has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Sebastian Möller, Alexander Raake, Nicolas Côté, Wai-Yip Chan, Tiago H. Falk, Nobuhiko Kitawaki, Akihiro Takahashi, Pablo Vidales, Amir Mehmood and Ulrich Heute. Their work appears in journals such as Journal of the Audio Engineering Society, Acta acustica united with Acustica, The Journal of the Acoustical Society of America, IEEE Signal Processing Magazine and IEEE Transactions on Audio Speech and Language Processing.

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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