Amparo Alonso-Betanzos: h-index, Total Citations, and Citation Map
Amparo Alonso-Betanzos's h-index is 47 (145 i10-index, 12,616+ total citations across 100+ publications) according to Google Scholar as of June 2026. Amparo Alonso-Betanzos is affiliated with Catedrática de Computación, CITIC (UDC).
Amparo Alonso-Betanzos is a researcher affiliated with Catedrática de Computación, CITIC (UDC), specializing in Inteligencia Artificial, Machine Learning. Their work has been cited 12,616 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Amparo Alonso-Betanzos's Citation Metrics
Bibliometric impact based on 100 indexed publications. Of these, 2 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 47
- i10-Index
- 145
- Total Citations
- 12,616
- Citing Countries
- 46
As of June 2026.
Amparo Alonso-Betanzos has an h-index of 47 and 12,616 total citations across 100 publications, with research cited by institutions in 46 countries.
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A review of feature selection methods on synthetic data
20131,198
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Citation Trend (Last 10 Years)
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About Amparo Alonso-Betanzos's research
Amparo Alonso-Betanzos is a researcher in Inteligencia Artificial and Machine Learning at Catedrática de Computación, CITIC (UDC). Their work has been cited 12,616 times across 100 publications (h-index 47), according to Google Scholar.
Their most-cited work, “A review of feature selection methods on synthetic data” (2013), has accumulated 1,198 citations. Other influential works include “A review of microarray datasets and applied feature selection methods” (2014) with 851 citations and “Filter methods for feature selection–a comparative study” (2007) with 711 citations.
Citations of Amparo Alonso-Betanzos's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











