José Caballero
About
In The Last Decade
José Caballero
13 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 10.9k
- Media Technology 5.0k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Biomedical Engineering 1.1k
- Artificial Intelligence 1.1k
Countries citing papers authored by José Caballero
This map shows the geographic impact of José Caballero'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 Caballero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Caballero more than expected).
Fields of papers citing papers by José Caballero
This network shows the impact of papers produced by José Caballero. 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 Caballero. The network helps show where José Caballero may publish in the future.
Co-authorship network of co-authors of José Caballero
This figure shows the co-authorship network connecting the top 25 collaborators of José Caballero. A scholar is included among the top collaborators of José Caballero 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 Caballero. José Caballero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction breakdown → | 382 |
| 2 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation breakdown → | 438 |
| 3 | A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction breakdown → | 803 |
| 4 | Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation breakdown → | 483 |
| 5 | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network breakdown → | 7534 |
| 6 | Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network breakdown → | 4297 |
| 7 | 22 | |
| 8 | 156 | |
| 9 | 13 | |
| 10 | 159 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | GRB 060322: IAC80 optical observations. | 0 |
| 14 | 1 |
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.