Gabriel Rilling
- Control and Systems Engineering top 0.5%
- Civil and Structural Engineering top 1%
- Signal Processing top 0.5%
- Electrical and Electronic Engineering top 10%
- Mechanical Engineering top 5%
- Co-authors
- Patrick FlandrinPaulo GonçalvèsPaulo GonçalvesJonathan M. LillyB. MulgrewMike E. DaviesMichael DaviesIan Marshall
- Topics
- Machine Fault Diagnosis Techniques (8 papers)Horticultural and Viticultural Research (7 papers)Sparse and Compressive Sensing Techniques (6 papers)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
Gabriel Rilling
30 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Control and Systems Engineering 2.1k
- Civil and Structural Engineering 927
- Signal Processing 841
- Electrical and Electronic Engineering 600
- Mechanical Engineering 585
Countries citing papers authored by Gabriel Rilling
This map shows the geographic impact of Gabriel Rilling'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 Gabriel Rilling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Rilling more than expected).
Fields of papers citing papers by Gabriel Rilling
This network shows the impact of papers produced by Gabriel Rilling. 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 Gabriel Rilling. The network helps show where Gabriel Rilling may publish in the future.
Co-authorship network of co-authors of Gabriel Rilling
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Rilling. A scholar is included among the top collaborators of Gabriel Rilling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Rilling. Gabriel Rilling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | Radiological and quantitative assessment of Compressed Sensing reconstruction of undersampled 3D brain images | 1 |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | Greedy Algorithms for Compressed Sensing | 1 |
| 11 | Compressed sensing based compression of SAR raw data | 48 |
| 12 | Bivariate Empirical Mode Decompositionbreakdown → | 467 |
| 13 | 13 | |
| 14 | 59 | |
| 15 | 70 | |
| 16 | 2 | |
| 17 | Detrending and denoising with empirical mode decompositions | 203 |
| 18 | Empirical Mode Decomposition as a Filter Bankbreakdown → | 1995 |
| 19 | 4 | |
| 20 | 1 |
About Gabriel Rilling
Gabriel Rilling is a scholar working on Signal Processing, Control and Systems Engineering and Ecology, Evolution, Behavior and Systematics, having authored 35 papers that have together received 4.5k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (8 papers), Horticultural and Viticultural Research (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (2.1k citations), Signal Processing (841 citations) and Civil and Structural Engineering (927 citations). Gabriel Rilling has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Patrick Flandrin, Paulo Gonçalvès, Paulo Gonçalves, Jonathan M. Lilly, B. Mulgrew, Mike E. Davies, Michael Davies, Ian Marshall, Mike Davies and P. D. King. Their work appears in journals such as Nature, IEEE Transactions on Signal Processing and Magnetic Resonance in Medicine.
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.