Raquel G. Catalán
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Astronomy and Astrophysics top 10%
- Co-authors
- Rafael García GarcíaMaría González-AudícanaRicardo López‐RuizEsteban InduráinJuan C. CandealJosé Alberto MolinaSalvatore GrecoAlfio Giarlotta
- Topics
- Multi-Criteria Decision Making (5 papers)Fuzzy Systems and Optimization (4 papers)Functional Equations Stability Results (3 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingInformation SciencesProceedings of the American Mathematical Society
- Partner nations
- SpainItalyUnited States
In The Last Decade
Raquel G. Catalán
12 papers receiving 674 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Media Technology 408
- Computer Vision and Pattern Recognition 287
- Statistical and Nonlinear Physics 100
- Atomic and Molecular Physics, and Optics 83
- Astronomy and Astrophysics 81
Countries citing papers authored by Raquel G. Catalán
This map shows the geographic impact of Raquel G. Catalán'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 Raquel G. Catalán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raquel G. Catalán more than expected).
Fields of papers citing papers by Raquel G. Catalán
This network shows the impact of papers produced by Raquel G. Catalán. 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 Raquel G. Catalán. The network helps show where Raquel G. Catalán may publish in the future.
Co-authorship network of co-authors of Raquel G. Catalán
This figure shows the co-authorship network connecting the top 25 collaborators of Raquel G. Catalán. A scholar is included among the top collaborators of Raquel G. Catalán 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 Raquel G. Catalán. Raquel G. Catalán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decompositionbreakdown → | 452 |
| 11 | 211 | |
| 12 | New Shannon sampling recomposition | 2 |
| 13 | 3 |
About Raquel G. Catalán
Raquel G. Catalán is a scholar working on Management Science and Operations Research, Statistics and Probability and Applied Mathematics, having authored 13 papers that have together received 707 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Fuzzy Systems and Optimization (4 papers) and Functional Equations Stability Results (3 papers). The work is most often cited by research in Media Technology (408 citations), Computer Vision and Pattern Recognition (287 citations) and Statistical and Nonlinear Physics (100 citations). Raquel G. Catalán has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Rafael García García, María González-Audícana, Ricardo López‐Ruiz, Esteban Induráin, Juan C. Candeal, José Alberto Molina, Salvatore Greco, Alfio Giarlotta, Susana Montes and Javier Montero. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Information Sciences and Proceedings of the American Mathematical Society.
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.