Girmaw Abebe Tadesse: h-index, Total Citations, and Citation Map
Girmaw Abebe Tadesse's h-index is 18 (28 i10-index, 1,691+ total citations across 145+ publications) according to Google Scholar as of June 2026. Girmaw Abebe Tadesse is affiliated with Microsoft AI for Good Research Lab.
Girmaw Abebe Tadesse is a researcher affiliated with Microsoft AI for Good Research Lab, specializing in Geospatial Data Analysis, Trustworthy AI, Computer Vision. Their work has been cited 1,691 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Girmaw Abebe Tadesse's Citation Metrics
Bibliometric impact based on 145 indexed publications.
- H-Index
- 18
- i10-Index
- 28
- Total Citations
- 1,691
- Citing Countries
- 73
As of June 2026.
Girmaw Abebe Tadesse has an h-index of 18 and 1,691 total citations across 145 publications, with research cited by institutions in 73 countries.
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Global Impact Map
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Advances, challenges and opportunities in creating data for trustworthy AI
2022749+82
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.
387 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 Girmaw Abebe Tadesse's research
Girmaw Abebe Tadesse is a researcher in Geospatial Data Analysis, Trustworthy AI and Computer Vision at Microsoft AI for Good Research Lab. Their work has been cited 1,691 times across 145 publications (h-index 18), according to Google Scholar.
Their most-cited work, “Advances, challenges and opportunities in creating data for trustworthy AI” (2022), has accumulated 749 citations. Other influential works include “PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings” (2020) with 104 citations and “DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time” (2021) with 65 citations.
Citations of Girmaw Abebe Tadesse's research come primarily from China, United States 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.
