Frank Baumgarte

638 citations
20 papers · 428 indexed · h-index 10

Frank Baumgarte

20 papers receiving 317 citations

Peers

Frank Baumgarte
Comparison fields: 5 of 31
  • Signal Processing 388
  • Cognitive Neuroscience 236
  • Computational Mechanics 171
  • Computer Vision and Pattern Recognition 162
  • Speech and Hearing 23
Replace Christian Schmidmer with:
Christian Schmidmer Sweden
Jérôme Daniel France
Michael P. Hollier
Günther Theile
Jean-Marc Jot France
Catherine Colomes France
C. Faller Switzerland
Thibaut Ajdler Switzerland
Erik Schuijers Netherlands
Hagen Wierstorf Germany
Frank Baumgarte relative to Christian Schmidmer Sweden Christian Schmidmer's profile →
Citations per field
00.5×1.5×2.3×
Christian Schmidmer · 1×
Citations per year

Countries citing papers authored by Frank Baumgarte

Since Specialization
Citations

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

Fields of papers citing papers by Frank Baumgarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 4 scholars most cited alongside Frank Baumgarte, 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 Frank Baumgarte Line = papers co-authored together Frank Baumgarte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Dynamic Range and Loudness Control in MPEG-H 3D Audio
20152
2
Audio Coder Enhancement using Scalable Binaural Cue Coding with Equalized Mixing
20047
3 2003134
4 2003100
5
Design and Evaluation of Binaural Cue Coding Schemes
20025
6
Binaural Cue Coding Applied to Audio Compression with Flexible Rendering
200215
7
Why Binaural Cue Coding is Better than Intensity Stereo Coding
200218
8
Binaural Cue Coding Applied to Stereo and Multi-Channel Audio Compression
200223
9 200213
10 20025
11 200217
12 20028
13 200231
14 20021
15 200212
16 19994
17
Application of a Physiological Ear Model to Irrelevance Reduction in Audio Coding
19992
18
Evaluation of a Physiological Ear Model Considering Masking Effects Relevant to Audio Coding
19984
19
A Physiological Ear Model for Auditory Masking Applicable to Perceptual Coding
19978
20
A Nonlinear Psychoacoustic Model Applied to ISO/MPEG Layer 3 Coder
199519

About Frank Baumgarte

Frank Baumgarte is a scholar working on Signal Processing, Cognitive Neuroscience and Speech and Hearing, having authored 20 papers that have together received 428 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (13 papers), Speech and Audio Processing (11 papers), Acoustic Wave Phenomena Research (7 papers), Advanced Data Compression Techniques (4 papers), Noise Effects and Management (3 papers), Vehicle Noise and Vibration Control (3 papers), Advanced Adaptive Filtering Techniques (2 papers) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Signal Processing (388 citations), Cognitive Neuroscience (236 citations) and Computational Mechanics (171 citations). Frank Baumgarte has collaborated with scholars based in United States and Germany. Frequent co-authors include C. Faller, Christof Faller, P. Kroon and Fabian Kuech. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, Journal of the Audio Engineering Society and ORL.

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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