Luisa F. Polanía
- Biomedical Engineering
- Computational Mechanics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Kenneth E. BarnerRafael E. CarrilloManuel Blanco–VelascoXin GuoBin ZhuCharles BonceletFlavio PrietoDavid T. Huang
- Topics
- Sparse and Compressive Sensing Techniques (12 papers)ECG Monitoring and Analysis (7 papers)Blind Source Separation Techniques (6 papers)
- Partner nations
- United StatesSpainSwitzerland
In The Last Decade
Luisa F. Polanía
24 papers receiving 582 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 246
- Computational Mechanics 227
- Cardiology and Cardiovascular Medicine 175
- Computer Vision and Pattern Recognition 172
- Signal Processing 171
Countries citing papers authored by Luisa F. Polanía
This map shows the geographic impact of Luisa F. Polanía'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 Luisa F. Polanía with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa F. Polanía more than expected).
Fields of papers citing papers by Luisa F. Polanía
This network shows the impact of papers produced by Luisa F. Polanía. 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 Luisa F. Polanía. The network helps show where Luisa F. Polanía may publish in the future.
Co-authorship network of co-authors of Luisa F. Polanía
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa F. Polanía. A scholar is included among the top collaborators of Luisa F. Polanía 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 Luisa F. Polanía. Luisa F. Polanía is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 3 | |
| 3 | 26 | |
| 4 | 40 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 32 | |
| 9 | 24 | |
| 10 | 27 | |
| 11 | 1 Exploiting Prior Knowledge in Compressed Sensing Wireless ECG Systems | 67 |
| 12 | 23 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 51 |
About Luisa F. Polanía
Luisa F. Polanía is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing, having authored 24 papers that have together received 590 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (12 papers), ECG Monitoring and Analysis (7 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Signal Processing (171 citations), Computational Mechanics (227 citations) and Computer Vision and Pattern Recognition (172 citations). Luisa F. Polanía has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Kenneth E. Barner, Rafael E. Carrillo, Manuel Blanco–Velasco, Xin Guo, Bin Zhu, Charles Boncelet, Flavio Prieto, Xin Guo, David T. Huang and Lalit K. Mestha. Their work appears in journals such as IEEE Transactions on Signal Processing, Engineering Failure Analysis and PubMed.
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.