Robin Scheibler

1.2k citations
46 papers · 325 · h-index 10

Impact in

    • Speech and Audio Processing
    • Blind Source Separation Techniques
    • Music and Audio Processing
    • Advanced Adaptive Filtering Techniques
    • Sparse and Compressive Sensing Techniques

Papers in

    • Speech and Audio Processing 38
    • Blind Source Separation Techniques 17
    • Music and Audio Processing 9
    • Advanced Adaptive Filtering Techniques 17
    • Sparse and Compressive Sensing Techniques 3

Robin Scheibler

39 papers receiving 313 citations

Peers

Robin Scheibler
Comparison fields: 5 of 53
  • Signal Processing 274
  • Computational Mechanics 130
  • Artificial Intelligence 76
  • Acoustics and Ultrasonics 2
  • Computer Vision and Pattern Recognition 41
Replace M. Gabrea with:
M. Gabrea Canada
R. Coelho Brazil
Kouhei Sekiguchi Japan
Seyed Mohammad Ahadi Iran
V. G. Reju Singapore
Francesco Nesta Italy
Cheng Yu Taiwan
Pasi Pertilä Finland
Aastha Gupta India
Lianwu Chen China
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Citations per field
00.5×10×15×18.5×
M. Gabrea · 1×
Citations per year

Countries citing papers authored by Robin Scheibler

Since Specialization
Citations

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

Fields of papers citing papers by Robin Scheibler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202038
2 201533
3 202218
4 202116
5 201915
6 201515
7 202114
8 201313
9 202313
10 202112
11 20189
12 20189
13 20228
14 20248
15 20238
16 20218
17 20228
18 20198
19 20207
20 20207

About Robin Scheibler

Robin Scheibler is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 46 papers that have together received 325 indexed citations. Recurring topics across this work include Speech and Audio Processing (38 papers), Blind Source Separation Techniques (17 papers), Advanced Adaptive Filtering Techniques (17 papers), Music and Audio Processing (9 papers), Speech Recognition and Synthesis (8 papers), Acoustic Wave Phenomena Research (5 papers), Indoor and Outdoor Localization Technologies (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Signal Processing (274 citations), Computational Mechanics (130 citations), Artificial Intelligence (76 citations), Acoustics and Ultrasonics (2 citations) and Computer Vision and Pattern Recognition (41 citations). Robin Scheibler has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Nobutaka Ono, Martin Vetterli, Masahito Togami, Ivan Dokmanić, Saeid Haghighatshoar, Tatsuya Komatsu, Yusuke Fujita, Soyeon Choe, A. Stohl and Tetsuji Ogawa. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Access, IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Signal Processing Letters.

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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