Bernhard Feiten

718 citations
33 papers · 564 · h-index 13

Impact in

Papers in

Bernhard Feiten

33 papers receiving 520 citations

Peers

Bernhard Feiten
Comparison fields: 5 of 44
  • Signal Processing 284
  • Computer Vision and Pattern Recognition 483
  • Computer Networks and Communications 109
  • Media Technology 40
  • Sociology and Political Science 107
Replace Marie-Neige Garcia with:
Marie-Neige Garcia Germany
Nicolas Staelens Belgium
Hemantha Kodikara Arachchi United Kingdom
Kazuhisa Yamagishi Japan
M.N. Garcia Germany
Steve Göring Germany
Chenglei Wu China
Yen-Fu Ou United States
Nabajeet Barman United Kingdom
Safak Dogan United Kingdom
Bernhard Feiten relative to Marie-Neige Garcia Germany Marie-Neige Garcia's profile →
Citations per field
00.5×1.7×
Marie-Neige Garcia · 1×
Citations per year

Countries citing papers authored by Bernhard Feiten

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Feiten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018113
2 201791
3 199470
4 201947
5 202035
6 201133
7 202028
8 200518
9 201318
10 201917
11 202115
12 199114
13 201812
14 20086
15 20176
16
Subjective Quality Evaluation of Audio Streaming Applications on Absolute and Paired Rating Scales
20094
17
Dynamically Scalable Internet Audio Transmission
19984
18 20134
19 20103
20 20133

About Bernhard Feiten

Bernhard Feiten is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Sociology and Political Science and Information Systems, having authored 33 papers that have together received 564 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (12 papers), Video Coding and Compression Technologies (9 papers), Speech and Audio Processing (8 papers), Advanced Data Compression Techniques (7 papers), Telecommunications and Broadcasting Technologies (6 papers), Music and Audio Processing (5 papers), Multimedia Communication and Technology (4 papers) and Digital Rights Management and Security (3 papers). The work is most often cited by research in Signal Processing (284 citations), Computer Vision and Pattern Recognition (483 citations), Computer Networks and Communications (109 citations), Media Technology (40 citations) and Sociology and Political Science (107 citations). Bernhard Feiten has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Alexander Raake, Steve Göring, Werner Robitza, Peter List, Marie-Neige Garcia, Rakesh Rao Ramachandra Rao, Jörgen Gustafsson, Kazuhisa Yamagishi, M.N. Garcia and Savvas Argyropoulos. Their work appears in journals such as Journal of the Audio Engineering Society, IEEE Access, The Journal of the Acoustical Society of America, IEEE Signal Processing Magazine and Computer Music Journal.

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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