Rafael Martínez‐Tomás
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Molecular Biology
- Cognitive Neuroscience
- Aerospace Engineering
- Co-authors
- Antonio Fernández‐CaballeroM. RincónJosé Carlos CastilloJosé MiraFélix de la Paz LópezHerminia PeraitaElena NavarroJosé Guerrero-González
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Semantic Web and Ontologies (7 papers)AI-based Problem Solving and Planning (4 papers)
In The Last Decade
Rafael Martínez‐Tomás
29 papers receiving 226 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 84
- Molecular Biology 34
- Cognitive Neuroscience 31
- Aerospace Engineering 24
Countries citing papers authored by Rafael Martínez‐Tomás
This map shows the geographic impact of Rafael Martínez‐Tomás'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 Rafael Martínez‐Tomás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Martínez‐Tomás more than expected).
Fields of papers citing papers by Rafael Martínez‐Tomás
This network shows the impact of papers produced by Rafael Martínez‐Tomás. 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 Rafael Martínez‐Tomás. The network helps show where Rafael Martínez‐Tomás may publish in the future.
Co-authorship network of co-authors of Rafael Martínez‐Tomás
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Martínez‐Tomás. A scholar is included among the top collaborators of Rafael Martínez‐Tomás 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 Rafael Martínez‐Tomás. Rafael Martínez‐Tomás 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 32 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 5 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 5 | |
| 20 | 1 |
About Rafael Martínez‐Tomás
Rafael Martínez‐Tomás is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 29 papers that have together received 234 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (7 papers) and AI-based Problem Solving and Planning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (86 citations), Artificial Intelligence (84 citations) and Health Informatics (3 citations). Rafael Martínez‐Tomás has collaborated with scholars based in Spain, Norway and Ecuador. Frequent co-authors include Antonio Fernández‐Caballero, M. Rincón, José Carlos Castillo, José Mira, Félix de la Paz López, Herminia Peraita, Elena Navarro, José Guerrero-González, Pilar Pozo and Encarnación Sarriá. Their work appears in journals such as Expert Systems with Applications, Neurocomputing and Pattern Recognition Letters.
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.