George Teodoro: h-index, Total Citations, and Citation Map
George Teodoro's h-index is 29 (65 i10-index, 2,560+ total citations across 3+ publications) according to Google Scholar as of May 2026. George Teodoro is affiliated with Universidade Federal de Minas Gerais.
George Teodoro is a researcher affiliated with Universidade Federal de Minas Gerais, specializing in HPC, Biomedical Informatics, Content-based Multimedia Information Retrieval. Their work has been cited 2,560 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
George Teodoro's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 29
- i10-Index
- 65
- Total Citations
- 2,560
- Citing Countries
- 7
As of May 2026.
George Teodoro has an h-index of 29 and 2,560 total citations across 3 publications, with research cited by institutions in 7 countries.
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Top Cited Works
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Machine-based morphologic analysis of glioblastoma using whole-slide pathology images uncovers clinically relevant molecular correlates
2013142
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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 strategies for coordinating GPU and CPU resources to enhance the performance of compute-intensive applications, as demonstrated in a seminal 2009 conference paper.
The researcher pioneered machine-based morphologic analysis of glioblastoma whole-slide images to uncover clinically relevant molecular correlates, establishing a foundational approach for computational pathology in neuro-oncology.
The researcher established a foundational comparative performance analysis of Intel Xeon Phi, GPU, and CPU architectures for microscopy image analysis, published in IEEE TPDS.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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