Álvaro Labella: h-index, Total Citations, and Citation Map
Álvaro Labella's h-index is 22 (28 i10-index, 2,138+ total citations across 74+ publications) according to Google Scholar as of June 2026. Álvaro Labella is affiliated with Universidad de Jaén.
Álvaro Labella is a researcher affiliated with Universidad de Jaén, specializing in Inteligencia artificial, toma de decisiones, procesos de consenso. Their work has been cited 2,138 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Álvaro Labella's Citation Metrics
Bibliometric impact based on 74 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 22
- i10-Index
- 28
- Total Citations
- 2,138
- Citing Countries
- 44
As of June 2026.
Álvaro Labella has an h-index of 22 and 2,138 total citations across 74 publications, with research cited by institutions in 44 countries.
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Global Impact Map
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A large scale consensus reaching process managing group hesitation
2018252
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Álvaro Labella's research
Álvaro Labella is a researcher in Inteligencia artificial, toma de decisiones and procesos de consenso at Universidad de Jaén. Their work has been cited 2,138 times across 74 publications (h-index 22), according to Google Scholar.
Their most-cited work, “A large scale consensus reaching process managing group hesitation” (2018), has accumulated 252 citations. Other influential works include “An overview on fuzzy modelling of complex linguistic preferences in decision making” (2016) with 251 citations and “A cost consensus metric for consensus reaching processes based on a comprehensive minimum cost model” (2020) with 247 citations.
Citations of Álvaro Labella'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.
