Robin Scheibler

1.3k citations
51 papers · 478 · h-index 13

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 45
    • Blind Source Separation Techniques 20
    • Music and Audio Processing 8
    • Advanced Adaptive Filtering Techniques 19
    • Sparse and Compressive Sensing Techniques 3

Robin Scheibler

46 papers receiving 465 citations

Peers

Robin Scheibler
Comparison fields: 5 of 59
  • Signal Processing 401
  • Computational Mechanics 192
  • Artificial Intelligence 87
  • Acoustics and Ultrasonics 2
  • Computer Vision and Pattern Recognition 48
Replace Haohai Sun with:
Haohai Sun Norway
Maja Taseska Germany
M. Gabrea Canada
Pasi E. Pertila Finland
Vaninirappuputhenpurayil Gopalan Reju Singapore
Francesco Nesta Italy
Renhua Peng China
Siow Yong Low Australia
R. Coelho Brazil
Maoshen Jia China
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Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 202041
3 201536
4 202323
5 202221
6 202019
7 201717
8 202117
9 201516
10 201915
11 202414
12 201314
13 202114
14 202113
15 202412
16 20239
17 20229
18 20189
19 20189
20 20219

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 51 papers that have together received 478 indexed citations. Recurring topics across this work include Speech and Audio Processing (45 papers), Blind Source Separation Techniques (20 papers), Advanced Adaptive Filtering Techniques (19 papers), Speech Recognition and Synthesis (8 papers), Music and Audio Processing (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 (401 citations), Computational Mechanics (192 citations), Artificial Intelligence (87 citations), Acoustics and Ultrasonics (2 citations) and Computer Vision and Pattern Recognition (48 citations). Robin Scheibler has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Nobutaka Ono, Martin Vetterli, Ivan Dokmanić, Masahito Togami, Saeid Haghighatshoar, Yusuke Fujita, Tatsuya Komatsu, Wangyou Zhang, Yanmin Qian and Eric Bezzam. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Access, IEEE Signal Processing Letters, IEEE Transactions on Information Theory and IEEE Transactions on Signal 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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