José Rodríguez-Ortega: h-index, Total Citations, and Citation Map
José Rodríguez-Ortega's h-index is 3 (1 i10-index, 25+ total citations across 5+ publications) according to Google Scholar as of June 2026. José Rodríguez-Ortega is affiliated with PhD student in Deep Learning at the University of Granada.
José Rodríguez-Ortega is a researcher affiliated with PhD student in Deep Learning at the University of Granada, specializing in Data Science, Deep Learning, Machine Learning. Their work has been cited 25 times. This profile visualizes their global influence, spanning a global audience.
José Rodríguez-Ortega's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 3
- i10-Index
- 1
- Total Citations
- 25
- Citing Countries
- 0
As of June 2026.
José Rodríguez-Ortega has an h-index of 3 and 25 total citations across 5 publications, with research cited by institutions in 0 countries.
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CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
202111+18
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Citation Trend (Last 10 Years)
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About José Rodríguez-Ortega's research
José Rodríguez-Ortega is a researcher in Data Science, Deep Learning and Machine Learning at PhD student in Deep Learning at the University of Granada. Their work has been cited 25 times across 5 publications (h-index 3), according to Google Scholar.
Their most-cited work, “CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study” (2021), has accumulated 11 citations. Other influential works include “CHaRM: Conditioned Heatmap Regression Methodology for Accurate and Fast Dental Landmark Localization” (2025) with 5 citations and “Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data” (2024) with 5 citations.
