Rodrigo Santamaría
- Molecular Biology
- Epidemiology
- Computer Vision and Pattern Recognition
- Infectious Diseases
- Artificial Intelligence
- Co-authors
- Roberto TherónLuis QuintalesDiego Alonso‐LópezKátia de Paiva LopesMiguel A. GutiérrezCarlos Alberto Vanegas PrietoJavier De Las RivasManuel A. S. Santos
- Topics
- Bioinformatics and Genomic Networks (10 papers)Gene expression and cancer classification (7 papers)Data Visualization and Analytics (5 papers)
- Partner nations
- SpainPortugalUnited Kingdom
In The Last Decade
Rodrigo Santamaría
25 papers receiving 419 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 242
- Epidemiology 62
- Computer Vision and Pattern Recognition 58
- Infectious Diseases 37
- Artificial Intelligence 33
Countries citing papers authored by Rodrigo Santamaría
This map shows the geographic impact of Rodrigo Santamaría'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 Rodrigo Santamaría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodrigo Santamaría more than expected).
Fields of papers citing papers by Rodrigo Santamaría
This network shows the impact of papers produced by Rodrigo Santamaría. 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 Rodrigo Santamaría. The network helps show where Rodrigo Santamaría may publish in the future.
Co-authorship network of co-authors of Rodrigo Santamaría
This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Santamaría. A scholar is included among the top collaborators of Rodrigo Santamaría 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 Rodrigo Santamaría. Rodrigo Santamaría is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 88 | |
| 11 | 51 | |
| 12 | 24 | |
| 13 | 33 | |
| 14 | 9 | |
| 15 | 30 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 37 | |
| 20 | 49 |
About Rodrigo Santamaría
Rodrigo Santamaría is a scholar working on Radiological and Ultrasound Technology, Computer Vision and Pattern Recognition and Ecological Modeling, having authored 25 papers that have together received 430 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (7 papers) and Data Visualization and Analytics (5 papers). The work is most often cited by research in Molecular Biology (242 citations), Biophysics (18 citations) and Computer Vision and Pattern Recognition (58 citations). Rodrigo Santamaría has collaborated with scholars based in Spain, Portugal and United Kingdom. Frequent co-authors include Roberto Therón, Luis Quintales, Diego Alonso‐López, Kátia de Paiva Lopes, Miguel A. Gutiérrez, Carlos Alberto Vanegas Prieto, Javier De Las Rivas, Manuel A. S. Santos, Philippe Pierre and Misha Kapushesky. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology and Bioinformatics.
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.