Joaquin Derrac Rus: h-index, Total Citations, and Citation Map
Joaquin Derrac Rus's h-index is 22 (29 i10-index, 12,570+ total citations across 3+ publications) according to Google Scholar as of May 2026. Joaquin Derrac Rus is affiliated with Data Scientist.
Joaquin Derrac Rus is a researcher affiliated with Data Scientist, specializing in Soft Computing, Evolutionary Algorithms, Data Mining. Their work has been cited 12,570 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Joaquin Derrac Rus's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 22
- i10-Index
- 29
- Total Citations
- 12,570
- Citing Countries
- 17
As of May 2026.
Joaquin Derrac Rus has an h-index of 22 and 12,570 total citations across 3 publications, with research cited by institutions in 17 countries.
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Top Cited Works
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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
20116,121
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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 KEEL, a comprehensive data-mining software tool featuring a dataset repository, algorithm integration, and experimental analysis framework, establishing a standard for reproducible research.
The researcher established a standardized methodological framework for applying nonparametric statistical tests to rigorously compare evolutionary and swarm intelligence algorithms.
The researcher established a foundational taxonomy and experimental framework for prototype generation in nearest neighbor classification, significantly advancing pattern recognition methodologies.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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