Miguel Ferrer
- Computational Mechanics top 1%
- Signal Processing top 1%
- Biomedical Engineering top 10%
- Automotive Engineering top 5%
- Cognitive Neuroscience
- Co-authors
- Alberto GonzálezMaría de DiegoGema PiñeroJ. García-BonitoFelix AlbuJose A. BellochAntonio M. VidalLuis A. Azpicueta-Ruiz
- Topics
- Advanced Adaptive Filtering Techniques (51 papers)Speech and Audio Processing (45 papers)Acoustic Wave Phenomena Research (22 papers)
In The Last Decade
Miguel Ferrer
57 papers receiving 826 citations
Peers
Comparison fields: 5 of 47
- Computational Mechanics 710
- Signal Processing 625
- Biomedical Engineering 341
- Automotive Engineering 136
- Cognitive Neuroscience 96
Countries citing papers authored by Miguel Ferrer
This map shows the geographic impact of Miguel Ferrer'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 Miguel Ferrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Ferrer more than expected).
Fields of papers citing papers by Miguel Ferrer
This network shows the impact of papers produced by Miguel Ferrer. 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 Miguel Ferrer. The network helps show where Miguel Ferrer may publish in the future.
Co-authorship network of co-authors of Miguel Ferrer
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Ferrer. A scholar is included among the top collaborators of Miguel Ferrer 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 Miguel Ferrer. Miguel Ferrer 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 | 3 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 96 | |
| 11 | Headphone-Based virtual spatialization of sound with a GPU accelerator | 15 |
| 12 | GPU-Based WFS Systems with Mobile Virtual Sound Sources and Room Compensation | 4 |
| 13 | 20 | |
| 14 | 15 | |
| 15 | 64 | |
| 16 | 10 | |
| 17 | Efficient Error Vector Calculation in Affine Projection Algorithms for Active Noise Control | 3 |
| 18 | 26 | |
| 19 | 5 | |
| 20 | SUBJECTIVE EVAULATION OF ACTIVE NOISE CONTROL TECHNIQUES APPLIED TO ENGINE NOISE | 1 |
About Miguel Ferrer
Miguel Ferrer is a scholar working on Signal Processing, Computational Mechanics and Biomedical Engineering, having authored 60 papers that have together received 845 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (51 papers), Speech and Audio Processing (45 papers) and Acoustic Wave Phenomena Research (22 papers). The work is most often cited by research in Signal Processing (625 citations), Computational Mechanics (710 citations) and Automotive Engineering (136 citations). Miguel Ferrer has collaborated with scholars based in Spain, Romania and Malaysia. Frequent co-authors include Alberto González, María de Diego, Gema Piñero, J. García-Bonito, Felix Albu, Jose A. Belloch, Antonio M. Vidal, Luis A. Azpicueta-Ruiz, Jerónimo Arenas‐García and José J. López. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Sound and Vibration and 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.