fernando mourao: h-index, Total Citations, and Citation Map
fernando mourao's h-index is 19 (25 i10-index, 1,121+ total citations across 4+ publications) according to Google Scholar as of May 2026. fernando mourao is affiliated with SEEK AI.
fernando mourao is a researcher affiliated with SEEK AI, specializing in Recommender System, Information Retrieval, Data Mining. Their work has been cited 1,121 times. This profile visualizes their global influence, highlighting strong citation networks in India.
fernando mourao's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 19
- i10-Index
- 25
- Total Citations
- 1,121
- Citing Countries
- 12
As of May 2026.
fernando mourao has an h-index of 19 and 1,121 total citations across 4 publications, with research cited by institutions in 12 countries.
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Global Impact Map
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Top Cited Works
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A framework for migrating relational datasets to NoSQL
2015122
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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.
The researcher developed a foundational framework for migrating relational datasets to NoSQL systems, establishing a methodological standard widely adopted by independent scholars.
The researcher developed a genetic programming approach for feature selection in highly dimensional skewed data, establishing a foundational method for handling complex data distributions.
The researcher developed a deep analytical framework for addressing the pure cold-start problem, specifically targeting the challenge of recommending content to first-time users in recommendation domains.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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