Raquel Urena: h-index, Total Citations, and Citation Map
Raquel Urena's h-index is 20 (30 i10-index, 2,686+ total citations across 72+ publications) according to Google Scholar as of June 2026. Raquel Urena is affiliated with Associate professor in AI and Healh.
Raquel Urena is a researcher affiliated with Associate professor in AI and Healh, specializing in Machine Learning, Digital health, health informatics. Their work has been cited 2,686 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Raquel Urena's Citation Metrics
Bibliometric impact based on 72 indexed publications. Of these, 2 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 20
- i10-Index
- 30
- Total Citations
- 2,686
- Citing Countries
- 22
As of June 2026.
Raquel Urena has an h-index of 20 and 2,686 total citations across 72 publications, with research cited by institutions in 22 countries.
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We've mapped 5,000 of 2,686 citations for Raquel Urena
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A review on trust propagation and opinion dynamics in social networks and group decision making frameworks
2019493
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Raquel Urena's research
Raquel Urena is a researcher in Machine Learning, Digital health and health informatics at Associate professor in AI and Healh. Their work has been cited 2,686 times across 72 publications (h-index 20), according to Google Scholar.
Their most-cited work, “A review on trust propagation and opinion dynamics in social networks and group decision making frameworks” (2019), has accumulated 493 citations. Other influential works include “Managing incomplete preference relations in decision making: a review and future trends” (2015) with 286 citations and “On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends” (2015) with 286 citations.
Citations of Raquel Urena's research come primarily from China, Spain and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
