Marta Mejail
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Media Technology top 5%
- Environmental Engineering
- Artificial Intelligence
- Co-authors
- Julio Jacobo-BerllesAlejandro C. FreryMatías NitscheTomáš KrajníkLibor PřeučilLuis GómezTom DuckettJan Faigl
- Topics
- Image and Signal Denoising Methods (11 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (11 papers)Advanced Image and Video Retrieval Techniques (7 papers)
In The Last Decade
Marta Mejail
40 papers receiving 649 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 341
- Aerospace Engineering 317
- Media Technology 121
- Environmental Engineering 68
- Artificial Intelligence 66
Countries citing papers authored by Marta Mejail
This map shows the geographic impact of Marta Mejail'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 Marta Mejail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Mejail more than expected).
Fields of papers citing papers by Marta Mejail
This network shows the impact of papers produced by Marta Mejail. 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 Marta Mejail. The network helps show where Marta Mejail may publish in the future.
Co-authorship network of co-authors of Marta Mejail
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Mejail. A scholar is included among the top collaborators of Marta Mejail 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 Marta Mejail. Marta Mejail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 32 | |
| 6 | 25 | |
| 7 | 23 | |
| 8 | SAR Image Segmentation using a Fast Level Set Technique | 2 |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 56 | |
| 15 | SAR image segmentation using B-Spline deformable contours | 0 |
| 16 | Approximation of distributions for SAR images: proposal, evaluation and practical consequences | 30 |
| 17 | Parametric roughness estimation in amplitude SAR images under the multiplicative model | 15 |
| 18 | Models for Synthetic Aperture Radar Image Analysis | 13 |
| 19 | 1 | |
| 20 | 1 |
About Marta Mejail
Marta Mejail is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 45 papers that have together received 668 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Media Technology (121 citations) and Aerospace Engineering (317 citations). Marta Mejail has collaborated with scholars based in Argentina, Brazil and Spain. Frequent co-authors include Julio Jacobo-Berlles, Alejandro C. Frery, Matías Nitsche, Tomáš Krajník, Libor Přeučil, Luis Gómez, Tom Duckett, Jan Faigl, Oscar H. Bustos and Petr Vaněk. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and International Journal of Remote Sensing.
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.