Marcelo A. Colominas
- Control and Systems Engineering top 0.5%
- Electrical and Electronic Engineering top 5%
- Mechanical Engineering top 5%
- Civil and Structural Engineering top 5%
- Signal Processing top 2%
- Co-authors
- Gastón SchlotthauerMarı́a E. TorresPatrick FlandrinSylvain MeignenDuong-Hung PhamLeandro D. VignoloAnne Humeau‐HeurtierS. R. Mahadeva Prasanna
- Topics
- Machine Fault Diagnosis Techniques (19 papers)Image and Signal Denoising Methods (8 papers)Blind Source Separation Techniques (8 papers)
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
- Electrical and Electronic Engineering 845
- Mechanical Engineering 493
- Civil and Structural Engineering 412
- Signal Processing 341
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 of co-authors of Marcelo A. Colominas
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo A. Colominas. A scholar is included among the top collaborators of Marcelo A. Colominas 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 Marcelo A. Colominas. Marcelo A. Colominas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 23 | |
| 12 | 27 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 65 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 29 | |
| 19 | Improved complete ensemble EMD: A suitable tool for biomedical signal processingbreakdown → | 1086 |
| 20 | A complete ensemble empirical mode decomposition with adaptive noisebreakdown → | 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) and Blind Source Separation Techniques (8 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.