Antonio J. Rivera: h-index, Total Citations, and Citation Map
Antonio J. Rivera's h-index is 29 (42 i10-index, 3,276+ total citations across 118+ publications) according to Google Scholar as of June 2026. Antonio J. Rivera is affiliated with Profesor de Ingeniería Informática (Universidad de Jaén).
Antonio J. Rivera is a researcher affiliated with Profesor de Ingeniería Informática (Universidad de Jaén), specializing in Data mining, soft computing, neural networks. Their work has been cited 3,276 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Antonio J. Rivera's Citation Metrics
Bibliometric impact based on 118 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 29
- i10-Index
- 42
- Total Citations
- 3,276
- Citing Countries
- 59
As of June 2026.
Antonio J. Rivera has an h-index of 29 and 3,276 total citations across 118 publications, with research cited by institutions in 59 countries.
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Global Impact Map
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Multilabel classification
2016460
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.
5 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 Antonio J. Rivera's research
Antonio J. Rivera is a researcher in Data mining, soft computing and neural networks at Profesor de Ingeniería Informática (Universidad de Jaén). Their work has been cited 3,276 times across 118 publications (h-index 29), according to Google Scholar.
Their most-cited work, “Multilabel classification” (2016), has accumulated 460 citations. Other influential works include “Addressing imbalance in multilabel classification: Measures and random resampling algorithms” (2015) with 388 citations and “MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation” (2015) with 329 citations.
Citations of Antonio J. Rivera's research come primarily from China, United States and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
