Marcelo A. Colominas
- Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques 19
- Fault Detection and Control Systems 4
- Signal Processing top 2%
- Blind Source Separation Techniques 8
- Speech and Audio Processing 7
- Environmental Engineering top 5%
-
- Structural Health Monitoring Techniques 7
-
- Image and Signal Denoising Methods 8
-
- EEG and Brain-Computer Interfaces 4
-
- Phonocardiography and Auscultation Techniques 4
- Co-authors
- Gastón SchlotthauerMarı́a E. TorresPatrick FlandrinSylvain MeignenDuong-Hung PhamLeandro D. VignoloAnne Humeau‐HeurtierS. R. Mahadeva Prasanna
In The Last Decade
Marcelo A. Colominas
25 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Control and Systems Engineering 1.2k
- Signal Processing 341
- Environmental Engineering 336
- Management Science and Operations Research 275
- Civil and Structural Engineering 412
Countries citing papers authored by Marcelo A. Colominas
This map shows the geographic impact of Marcelo A. Colominas'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 Marcelo A. Colominas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo A. Colominas more than expected).
Fields of papers citing papers by Marcelo A. Colominas
This network shows the impact of papers produced by Marcelo A. Colominas. 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 Marcelo A. Colominas. The network helps show where Marcelo A. Colominas may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Marcelo A. Colominas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 23 | |
| 12 | 2020 | 27 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 2 | |
| 15 | 2017 | 65 | |
| 16 | 2017 | 18 | |
| 17 | 2016 | 6 | |
| 18 | 2015 | 29 | |
| 19 | Improved complete ensemble EMD: A suitable tool for biomedical signal processingbreakdown → | 2014 | 1086 |
| 20 | A complete ensemble empirical mode decomposition with adaptive noisebreakdown → | 2011 | 1806 |
About Marcelo A. Colominas
Marcelo A. Colominas is a scholar working on Signal Processing, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 3.3k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (19 papers), Image and Signal Denoising Methods (8 papers), Blind Source Separation Techniques (8 papers), Structural Health Monitoring Techniques (7 papers), Speech and Audio Processing (7 papers), EEG and Brain-Computer Interfaces (4 papers), Fault Detection and Control Systems (4 papers) and Phonocardiography and Auscultation Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Signal Processing (341 citations) and Environmental Engineering (336 citations). Marcelo A. Colominas has collaborated with scholars based in Argentina, France and Sri Lanka. Frequent co-authors include Gastón Schlotthauer, Marı́a E. Torres, Patrick Flandrin, Sylvain Meignen, Duong-Hung Pham, Leandro D. Vignolo, Anne Humeau‐Heurtier, S. R. Mahadeva Prasanna, Hugo Leonardo Rufiner and Hau‐Tieng Wu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Transactions on Biomedical Engineering.
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.