Yago Díez
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 5%
- Ecology top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence top 10%
- Co-authors
- Maximo Larry Lopez CaceresSarah KentschXavier LladóMariano CabezasJoaquím SalvíArnau OliverMotohisa FukudaRobert Martí
- Topics
- Remote Sensing and LiDAR Applications (14 papers)AI in cancer detection (10 papers)Medical Image Segmentation Techniques (9 papers)
- Partner nations
- JapanSpainNetherlands
In The Last Decade
Yago Díez
46 papers receiving 616 citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 205
- Environmental Engineering 200
- Ecology 155
- Radiology, Nuclear Medicine and Imaging 104
- Artificial Intelligence 96
Countries citing papers authored by Yago Díez
This map shows the geographic impact of Yago Díez'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 Yago Díez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yago Díez more than expected).
Fields of papers citing papers by Yago Díez
This network shows the impact of papers produced by Yago Díez. 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 Yago Díez. The network helps show where Yago Díez may publish in the future.
Co-authorship network of co-authors of Yago Díez
This figure shows the co-authorship network connecting the top 25 collaborators of Yago Díez. A scholar is included among the top collaborators of Yago Díez 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 Yago Díez. Yago Díez 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 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 43 | |
| 6 | Computer Vision and Deep learning algorithms for the automatic processing of Wasan documents | 1 |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 14 | |
| 14 | 76 | |
| 15 | 39 | |
| 16 | 12 | |
| 17 | 2 | |
| 18 | 30 | |
| 19 | 3 | |
| 20 | 8 |
About Yago Díez
Yago Díez is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Ecological Modeling, having authored 49 papers that have together received 631 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (14 papers), AI in cancer detection (10 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Geology (81 citations), Environmental Engineering (200 citations) and Computer Vision and Pattern Recognition (205 citations). Yago Díez has collaborated with scholars based in Japan, Spain and Netherlands. Frequent co-authors include Maximo Larry Lopez Caceres, Sarah Kentsch, Xavier Lladó, Mariano Cabezas, Joaquím Salví, Arnau Oliver, Motohisa Fukuda, Robert Martí, Joan Martı́ and Daniel Serrano. Their work appears in journals such as IEEE Transactions on Medical Imaging, Sensors and ACM Computing Surveys.
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.