A. Carmona-Poyato
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence
- Media Technology top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- F.J. Madrid-CuevasR. Medina-CarnicerRafael Muñoz‐SalinasManuel J. Marín‐JiménezAntonio M. Durán-RosalEnrique Yeguas-BolívarCésar Hervás‐MartínezPedro Antonio Gutiérrez
- Topics
- Medical Image Segmentation Techniques (8 papers)Image and Object Detection Techniques (8 papers)Advanced Vision and Imaging (8 papers)
- Partner nations
- SpainColombiaUnited States
In The Last Decade
A. Carmona-Poyato
38 papers receiving 609 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 487
- Biomedical Engineering 88
- Artificial Intelligence 81
- Media Technology 76
- Industrial and Manufacturing Engineering 73
Countries citing papers authored by A. Carmona-Poyato
This map shows the geographic impact of A. Carmona-Poyato'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 A. Carmona-Poyato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Carmona-Poyato more than expected).
Fields of papers citing papers by A. Carmona-Poyato
This network shows the impact of papers produced by A. Carmona-Poyato. 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 A. Carmona-Poyato. The network helps show where A. Carmona-Poyato may publish in the future.
Co-authorship network of co-authors of A. Carmona-Poyato
This figure shows the co-authorship network connecting the top 25 collaborators of A. Carmona-Poyato. A scholar is included among the top collaborators of A. Carmona-Poyato 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 A. Carmona-Poyato. A. Carmona-Poyato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 44 | |
| 15 | 34 | |
| 16 | 17 | |
| 17 | 49 | |
| 18 | 2 | |
| 19 | 39 | |
| 20 | Estudio de algunos modelos determinísticos lluvia-escorrentia. Aplicación a una cuenca real | 1 |
About A. Carmona-Poyato
A. Carmona-Poyato is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 38 papers that have together received 638 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Image and Object Detection Techniques (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (487 citations), Human-Computer Interaction (67 citations) and Media Technology (76 citations). A. Carmona-Poyato has collaborated with scholars based in Spain, Colombia and United States. Frequent co-authors include F.J. Madrid-Cuevas, R. Medina-Carnicer, Rafael Muñoz‐Salinas, Manuel J. Marín‐Jiménez, Antonio M. Durán-Rosal, Enrique Yeguas-Bolívar, César Hervás‐Martínez, Pedro Antonio Gutiérrez, Francisco M. Castro and Nicolás Guil. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and Neurocomputing.
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.