MD. Mehedi Hasan is a researcher affiliated with Unknown affiliation, specializing in AI & Machine Learning. Their work has been cited 83,195 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
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Bibliometric impact based on 1 indexed publication.
As of April 2026.
MD. Mehedi Hasan has an h-index of 1 and 83,195 total citations across 1 publication, with research cited by institutions in 18 countries.
Visualizing the geographic distribution of institutions that have cited your work.
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.
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 14 of 18 countries (55 total citations).
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
Qing Yao
7.0Southern University of Science and Technology
China· Cited your work 1 time
Guozhi Xiao
7.0Southern University of Science and Technology
China· Cited your work 1 time
Chun-Su Yuan
7.0University of Chicago
USA· Cited your work 1 time
Chong-Zhi Wang
7.0University of Chicago
USA· Cited your work 1 time
Andrew J. S. Coats
8.5University of Warwick
United Kingdom· Cited your work 1 time
Carolyn S. P. Lam
8.5National Heart Centre Singapore
Singapore· Cited your work 1 time
Alexandre Mebazaa
8.5University of Paris
France· Cited your work 1 time
Stephen Colagiuri
8.5University of Sydney
Australia· Cited your work 1 time
Marco Metra
5.0University of Brescia
Italy· Cited your work 1 time
Claudio Muneretto
5.0University of Brescia
Italy· Cited your work 1 time
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Citations flagged as non-independent share the scholar's home institution (Cairo University). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
· cites “Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Haiqiang Yao, Anqi Zhang, Delong Li, Yuqi Wu + 3 more
The BMJ (British Medical Journal)· cites “Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Theresa A. McDonagh, Marco Metra, Marianna Adamo, Roy S. Gardner + 27 more
European Heart Journal· cites “Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Qing Yao, Xiaohao Wu, Chu Tao, Weiyuan Gong + 6 more
Signal Transduction and Targeted Therapy· cites “Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Gabriel A. Gregory, Thomas I. G. Robinson, Sarah E. Linklater, Fei Wang + 9 more
The Lancet Diabetes & Endocrinology· cites “Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
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