Gabriel Rilling

6.3k total citations · 4 hit papers
35 papers, 4.5k citations indexed

About

Gabriel Rilling is a scholar working on Plant Science, Control and Systems Engineering and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gabriel Rilling has authored 35 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Control and Systems Engineering and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gabriel Rilling's work include Machine Fault Diagnosis Techniques (8 papers), Horticultural and Viticultural Research (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). Gabriel Rilling is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Horticultural and Viticultural Research (7 papers) and Sparse and Compressive Sensing Techniques (6 papers). Gabriel Rilling collaborates with scholars based in France, United Kingdom and Germany. Gabriel Rilling's 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 and has published in prestigious journals such as Nature, IEEE Transactions on Signal Processing and Magnetic Resonance in Medicine.

In The Last Decade

Gabriel Rilling

30 papers receiving 4.3k citations

Hit Papers

Empirical Mode Decomposition as a Filter Bank 2003 2026 2010 2018 2004 2003 2007 2008 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gabriel Rilling France 14 2.1k 927 841 600 585 35 4.5k
Paulo Gonçalvès France 16 1.6k 0.8× 696 0.8× 733 0.9× 494 0.8× 449 0.8× 44 4.1k
Naveed ur Rehman Pakistan 25 1.2k 0.6× 520 0.6× 763 0.9× 488 0.8× 345 0.6× 89 3.6k
S.A. Billings United Kingdom 42 4.4k 2.1× 1.3k 1.4× 510 0.6× 501 0.8× 653 1.1× 178 7.6k
Dominique Zosso United States 11 2.6k 1.2× 921 1.0× 436 0.5× 1.7k 2.9× 1.5k 2.6× 28 6.6k
Marı́a E. Torres Argentina 18 1.2k 0.6× 383 0.4× 370 0.4× 854 1.4× 483 0.8× 56 3.8k
Konstantin Dragomiretskiy United States 5 2.6k 1.2× 918 1.0× 434 0.5× 1.7k 2.9× 1.5k 2.6× 5 6.3k
Gastón Schlotthauer Argentina 14 1.2k 0.6× 398 0.4× 383 0.5× 850 1.4× 491 0.8× 47 3.5k
L. Mansinha Canada 21 1.0k 0.5× 677 0.7× 313 0.4× 1.2k 2.1× 317 0.5× 64 5.1k
Marcelo A. Colominas Argentina 11 1.2k 0.6× 412 0.4× 341 0.4× 845 1.4× 493 0.8× 29 3.3k
Wen-Liang Hwang Taiwan 20 920 0.4× 434 0.5× 750 0.9× 429 0.7× 297 0.5× 120 4.5k

Countries citing papers authored by Gabriel Rilling

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Rilling, Gabriel, et al.. (2022). Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets. Applied and Computational Harmonic Analysis. 62. 390–440. 14 indexed citations
4.
King, P. D. & Gabriel Rilling. (2015). Variations in the galling reaction of grapevines: Evidence of different phylloxera biotypes and clonal reaction to phylloxera. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 24(1). 32–42. 8 indexed citations
5.
Marshall, I. Howard, et al.. (2015). Radiological and quantitative assessment of Compressed Sensing reconstruction of undersampled 3D brain images. 1 indexed citations
6.
King, P. D. & Gabriel Rilling. (2015). Further evidence of phylloxera biotypes: Variations in the tolerance of mature grapevine roots related to the geographical origin of the insect. Julius Kühn-Institut. 30(4). 233–233. 2 indexed citations
7.
Rilling, Gabriel, et al.. (2013). Carotid blood flow measurement accelerated by compressed sensing: Validation in healthy volunteers. Magnetic Resonance Imaging. 31(9). 1485–1491. 25 indexed citations
8.
Rilling, Gabriel, et al.. (2012). Multilattice sampling strategies for region of interest dynamic MRI. Magnetic Resonance in Medicine. 70(2). 392–403. 2 indexed citations
9.
Rilling, Gabriel, et al.. (2011). Automatic target recognition from highly incomplete SAR data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8051. 805115–805115. 2 indexed citations
10.
Davies, Mike E., Thomas Blumensath, & Gabriel Rilling. (2011). Greedy Algorithms for Compressed Sensing. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Rilling, Gabriel, Mike E. Davies, & B. Mulgrew. (2009). Compressed sensing based compression of SAR raw data. HAL (Le Centre pour la Communication Scientifique Directe). 48 indexed citations
12.
Rilling, Gabriel, Patrick Flandrin, Paulo Gonçalves, & Jonathan M. Lilly. (2007). Bivariate Empirical Mode Decomposition. IEEE Signal Processing Letters. 14(12). 936–939. 467 indexed citations breakdown →
13.
Gonçalvès, Paulo, Patrice Abry, Gabriel Rilling, & Patrick Flandrin. (2007). Fractal Dimension Estimation: Empirical Mode Decomposition Versuswavelets. SPIRE - Sciences Po Institutional REpository. 13 indexed citations
14.
Rilling, Gabriel, Patrick Flandrin, & Paulo Gonçalvès. (2006). Empirical Mode Decomposition, fractional Gaussian noise and Hurst exponent estimation. 4. 489–492. 59 indexed citations
15.
Rilling, Gabriel & Patrick Flandrin. (2006). on the Influence of Sampling on the Empirical Mode Decomposition. 3. III–444. 70 indexed citations
16.
Rilling, Gabriel & Patrick Flandrin. (2005). Sur la décomposition modale empirique des signaux échantillonnés. Nature. 634(8036). 1118–1124. 2 indexed citations
17.
Flandrin, Patrick, Paulo Gonçalvès, & Gabriel Rilling. (2004). Detrending and denoising with empirical mode decompositions. SPIRE - Sciences Po Institutional REpository. 1581–1584. 203 indexed citations
18.
Flandrin, Patrick, Gabriel Rilling, & Paulo Gonçalvès. (2004). Empirical Mode Decomposition as a Filter Bank. IEEE Signal Processing Letters. 11(2). 112–114. 1995 indexed citations breakdown →
19.
Rilling, Gabriel, et al.. (1974). Freie und gebundene Aminosäuren der Reblaus (Dactylosphaera vitifoliiShimer) und Möglichkeiten ihrer Biosynthese aus Saccharose‐14C(U). Zeitschrift für Angewandte Entomologie. 77(1-4). 195–210. 4 indexed citations
20.
Rilling, Gabriel. (1962). Die formative Wirkung von Licht und Temperatur bei der Reblaus (Dactylosphaera vitifolii Shimer). Die Naturwissenschaften. 49(4). 90–91. 1 indexed citations

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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