Amari S*: h-index, Total Citations, and Citation Map
Amari S*'s h-index is 108 (388 i10-index, 73,026+ total citations across 887+ publications) according to Google Scholar as of July 2026. Amari S* is affiliated with Unknown affiliation.
Amari S* is a researcher affiliated with Unknown affiliation, specializing in various fields. Their work has been cited 73,026 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Amari S*'s Citation Metrics
Bibliometric impact based on 887 indexed publications.
- H-Index
- 108
- i10-Index
- 388
- Total Citations
- 73,026
- Citing Countries
- 59
As of July 2026.
Amari S* has an h-index of 108 and 73,026 total citations across 887 publications, with research cited by institutions in 59 countries.
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Global Impact Map
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Natural gradient works efficiently in learning
19985,250
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.
9 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational frameworks for self-organizing neural networks and associative memory, pioneering theoretical models for pattern recognition and concept formation in computational neuroscience.
The researcher established a foundational theory of adaptive pattern classifiers, subsequently extending this framework to neural network approaches for blind signal processing and online learning algorithms.
The researcher established foundational models for random analog neural networks and lateral-inhibition dynamics, creating a seminal theoretical framework for understanding pattern formation in neural fields.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Amari S*'s research
Amari S* is a researcher at Unknown affiliation. Their work has been cited 73,026 times across 887 publications (h-index 108), according to Google Scholar.
Their most-cited work, “Natural gradient works efficiently in learning” (1998), has accumulated 5,250 citations. Other influential works include “Methods of information geometry” (2000) with 4,843 citations and “Adaptive blind signal and image processing: learning algorithms and applications” (2002) with 3,683 citations.
Citations of Amari S*'s research come primarily from China, United States and Japan, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
