Antônio H. Ribeiro Google Scholar: h-index, Total Citations, and Citation Map
Antônio H. Ribeiro's h-index is 26 (48 i10-index, 59,091+ total citations across 105+ publications) according to Google Scholar as of October 2026. Antônio H. Ribeiro is affiliated with Assistant Professor, Uppsala University.
Antônio H. Ribeiro is a researcher affiliated with Assistant Professor, Uppsala University, specializing in Machine learning, Signal processing, Biomedical Informatics. Their work has been cited 59,091 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Antônio H. Ribeiro's Citation Metrics
Bibliometric impact based on 105 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 26
- i10-Index
- 48
- Total Citations
- 59,091
- Citing Countries
- 58
As of October 2026.
Antônio H. Ribeiro has an h-index of 26 and 59,091 total citations across 105 publications, with research cited by institutions in 58 countries.
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Global Impact Map
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SciPy 1.0: fundamental algorithms for scientific computing in Python
202054,707
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.
The researcher established fundamental algorithms for scientific computing in Python, as evidenced by a seminal Nature Methods paper with over 50,000 citations.
The researcher developed a deep neural network framework for the automatic diagnosis of 12-lead ECGs, establishing a seminal benchmark in AI-driven cardiac signal analysis.
The researcher advanced RNN training theory by analyzing stability through attractors and smoothness, moving beyond gradient issues, as evidenced by a highly cited 2020 AISTATS paper.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Antônio H. Ribeiro's research
Antônio H. Ribeiro is a researcher in Machine learning, Signal processing and Biomedical Informatics at Assistant Professor, Uppsala University. Their work has been cited 59,091 times across 105 publications (h-index 26), according to Google Scholar.
Their most-cited work, “SciPy 1.0: fundamental algorithms for scientific computing in Python” (2020), has accumulated 54,707 citations. Other influential works include “SciPy 1.0: fundamental algorithms for scientific computing in Python” (2020) with 50,938 citations and “Automatic diagnosis of the 12-lead ECG using a deep neural network” (2020) with 1,488 citations.
Citations of Antônio H. Ribeiro's research come primarily from United States, China 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.
