Jose Carlos Ferreira Maia Neves is a researcher affiliated with Professor of Computer Science, The University of Minho, specializing in AI & Machine Learning. Their work has been cited 67,582 times. This profile visualizes their global influence, highlighting strong citation networks in US.
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Bibliometric impact based on 1 indexed publication.
As of April 2026.
Jose Carlos Ferreira Maia Neves has an h-index of 1 and 67,582 total citations across 1 publication, with research cited by institutions in 23 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 23 countries (64 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.
Naveed Sattar
7.0University of Glasgow
UK· Cited your work 2 times
I. Sadaf Farooqi
7.0University of Cambridge
United Kingdom· Cited your work 1 time
Rachel L. Batterham
7.0University College London
UK· Cited your work 1 time
Emanuele Di Angelantonio
7.0University of Cambridge
United Kingdom· Cited your work 1 time
Wendy A. Brown
7.0Monash University
Australia· Cited your work 1 time
Fatima Cody Stanford
7.0Harvard Medical School & Massachusetts General Hospital
USA· Cited your work 1 time
Louise A. Baur
7.0University of Sydney & Children’s Hospital at Westmead
Australia· Cited your work 1 time
Takashi Kadowaki
8.5University of Tokyo
Japan· Cited your work 1 time
John P. Kirwan
7.0Pennington Biomedical Research Center
USA· Cited your work 1 time
Yvo M. Smulders
8.5Amsterdam University Medical Center
Netherlands· 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 (University of Washington). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Francesco Rubino, David E. Cummings, Robert H. Eckel, Ricardo V. Cohen + 17 more
The Lancet Diabetes & Endocrinology· cites “Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Ewa A. Jankowska, Naveed Sattar, Frank L. J. Visseren, François Mach + 26 more
European Heart Journal· cites “Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Christopher J. L. Murray, Stein Emil Vollset, Hazim S. Ababneh, Yohannes Habtegiorgis Abate + 2 more
The Lancet· cites “Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
Mohsen Naghavi, Christopher J. L. Murray, Kevin S. Ikuta, Fablina Sharara + 5 more
The Lancet· cites “Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
· cites “Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017”
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