Alexey Castrodad
- Computational Mechanics top 1%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering
- Signal Processing top 2%
- Co-authors
- Arvind GaneshYonina C. EldarMoshe MishaliJarvis HauptJosé Antonio UrigüenRobert CalderbankThomas BlumensathAndrea Montanari
- Topics
- Remote-Sensing Image Classification (7 papers)Advanced Image Fusion Techniques (4 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingInternational Journal of Computer VisionComputer Graphics Forum
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Alexey Castrodad
12 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computational Mechanics 862
- Biomedical Engineering 419
- Computer Vision and Pattern Recognition 411
- Electrical and Electronic Engineering 302
- Signal Processing 276
Countries citing papers authored by Alexey Castrodad
This map shows the geographic impact of Alexey Castrodad'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 Alexey Castrodad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey Castrodad more than expected).
Fields of papers citing papers by Alexey Castrodad
This network shows the impact of papers produced by Alexey Castrodad. 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 Alexey Castrodad. The network helps show where Alexey Castrodad may publish in the future.
Co-authorship network of co-authors of Alexey Castrodad
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Castrodad. A scholar is included among the top collaborators of Alexey Castrodad 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 Alexey Castrodad. Alexey Castrodad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 93 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | Compressed Sensingbreakdown → | 1142 |
| 5 | 82 | |
| 6 | 78 | |
| 7 | 7 | |
| 8 | 99 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 4 |
About Alexey Castrodad
Alexey Castrodad is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (4 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (39 citations), Computational Mechanics (862 citations) and Computational Mathematics (22 citations). Alexey Castrodad has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Arvind Ganesh, Yonina C. Eldar, Moshe Mishali, Jarvis Haupt, José Antonio Urigüen, Robert Calderbank, Thomas Blumensath, Andrea Montanari, Gitta Kutyniok and Mark A. Davenport. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Computer Vision and Computer Graphics Forum.
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.