José Martı́nez-Aroza
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Media Technology top 5%
- Artificial Intelligence
- Signal Processing
- Co-authors
- Pedro L. Luque‐EscamillaRamón Román-RoldánA. Ben HamzaJosé Luis Tejera OliverMichael HackenbergPedro CarpenaChristopher PrevitiF. Javier Montes Ruiz‐Cabello
- Topics
- Image and Signal Denoising Methods (10 papers)Medical Image Segmentation Techniques (7 papers)Advanced Image Fusion Techniques (6 papers)
- Partner nations
- SpainSwitzerlandJordan
In The Last Decade
José Martı́nez-Aroza
22 papers receiving 462 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 190
- Molecular Biology 151
- Media Technology 77
- Artificial Intelligence 45
- Signal Processing 28
Countries citing papers authored by José Martı́nez-Aroza
This map shows the geographic impact of José Martı́nez-Aroza'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 José Martı́nez-Aroza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Martı́nez-Aroza more than expected).
Fields of papers citing papers by José Martı́nez-Aroza
This network shows the impact of papers produced by José Martı́nez-Aroza. 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 José Martı́nez-Aroza. The network helps show where José Martı́nez-Aroza may publish in the future.
Co-authorship network of co-authors of José Martı́nez-Aroza
This figure shows the co-authorship network connecting the top 25 collaborators of José Martı́nez-Aroza. A scholar is included among the top collaborators of José Martı́nez-Aroza 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 José Martı́nez-Aroza. José Martı́nez-Aroza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 129 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 68 | |
| 14 | 36 | |
| 15 | 106 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 10 |
About José Martı́nez-Aroza
José Martı́nez-Aroza is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 489 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (7 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Media Technology (77 citations) and Surfaces, Coatings and Films (24 citations). José Martı́nez-Aroza has collaborated with scholars based in Spain, Switzerland and Jordan. Frequent co-authors include Pedro L. Luque‐Escamilla, Ramón Román-Roldán, A. Ben Hamza, José Luis Tejera Oliver, Michael Hackenberg, Pedro Carpena, Christopher Previti, F. Javier Montes Ruiz‐Cabello, M. Valverde and Victoriano Ramı́rez González. Their work appears in journals such as Journal of Colloid and Interface Science, BMC Bioinformatics and Pattern Recognition.
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.