J. M. Soto-Hidalgo
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiological and Ultrasound Technology top 5%
- Media Technology top 10%
- Social Psychology
- Co-authors
- J. Chamorro-Martı́nezDaniel SánchezJesús Alcalá‐FdezGiovanni AcamporaJosé M. AlonsoMaría Martínez‐RojasAutilia VitielloMaría José Gacto
- Topics
- Image Retrieval and Classification Techniques (26 papers)Advanced Image and Video Retrieval Techniques (15 papers)Fuzzy Logic and Control Systems (8 papers)
- Cited by
- Radiological and Ultrasound TechnologyComputer Vision and Pattern RecognitionMedia Technology
- Partner nations
- SpainItalyUnited States
In The Last Decade
J. M. Soto-Hidalgo
51 papers receiving 379 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 146
- Artificial Intelligence 102
- Radiological and Ultrasound Technology 45
- Media Technology 44
- Social Psychology 39
Countries citing papers authored by J. M. Soto-Hidalgo
This map shows the geographic impact of J. M. Soto-Hidalgo'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 J. M. Soto-Hidalgo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Soto-Hidalgo more than expected).
Fields of papers citing papers by J. M. Soto-Hidalgo
This network shows the impact of papers produced by J. M. Soto-Hidalgo. 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 J. M. Soto-Hidalgo. The network helps show where J. M. Soto-Hidalgo may publish in the future.
Co-authorship network of co-authors of J. M. Soto-Hidalgo
This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Soto-Hidalgo. A scholar is included among the top collaborators of J. M. Soto-Hidalgo 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 J. M. Soto-Hidalgo. J. M. Soto-Hidalgo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Learning FPGA design by a methodology based on projects | 3 |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 6 | |
| 20 | An Approach to Image Retrieval on Fuzzy Object-Relational Databases using Dominant Color Descriptors | 1 |
About J. M. Soto-Hidalgo
J. M. Soto-Hidalgo is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Radiological and Ultrasound Technology, having authored 61 papers that have together received 393 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (26 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Fuzzy Logic and Control Systems (8 papers). The work is most often cited by research in Radiological and Ultrasound Technology (45 citations), Computer Vision and Pattern Recognition (146 citations) and Media Technology (44 citations). J. M. Soto-Hidalgo has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include J. Chamorro-Martı́nez, Daniel Sánchez, Jesús Alcalá‐Fdez, Giovanni Acampora, José M. Alonso, María Martínez‐Rojas, Autilia Vitiello, María José Gacto, Juan Miguel Medina and Nicolás Marı́n. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.
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.