Padhraic Smyth

Padhraic Smyth is a researcher affiliated with Distinguished Professor, Computer Science, University of California Irvine, specializing in AI & Machine Learning. Their work has been cited 70,719 times. This profile visualizes their global influence, highlighting strong citation networks in AU.

AI & Machine Learning

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0i10-index

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Distinguished Professor, Computer Science, University of California Irvine•

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Padhraic Smyth's Citation Metrics

Bibliometric impact based on 1 indexed publication.

H-Index: 1
i10-Index: 1
Total Citations: 70,719
Citing Countries: 3

As of April 2026.

Padhraic Smyth has an h-index of 1 and 70,719 total citations across 1 publication, with research cited by institutions in 3 countries.

Global Impact Map

Visualizing the geographic distribution of institutions that have cited your work.

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Top Citing Countries(Limited)

Australia(AU)

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United States(US)

Top Citing Institutions(Limited)

University of Queensland

Qatar University

The University of Western Australia

Duke University

Urban Utilities

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.

Citer Influence Network

Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 3 of 3 countries (12 total citations).

Scholar

Padhraic Smyth

123

Australia

Qatar

USA

React Flow

Letter of Support — Candidate Recommenders

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.

#1
Andrew Ward
7.0
University of Queensland
Australia· Cited your work 1 time
IndependentTop institution
#2
Damien J. Batstone
7.0
University of Queensland
Australia· Cited your work 1 time
IndependentTop institution
#3
Cynthia Rudin
8.5
Duke University
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
Abdel Magid Hamouda
6.5
Qatar University
Qatar· Cited your work 1 time
IndependentDiversifies geography
#5
Khalifa N. Al-Khalifa
6.5
Qatar University
Qatar· Cited your work 1 time
IndependentDiversifies geography
#6
Christian Kazadi Mbamba
7.0
University of Queensland
Australia· Cited your work 1 time
IndependentTop institution
#7
Philip Keymer
7.0
University of Queensland
Australia· Cited your work 1 time
IndependentTop institution
#8
Abdulaziz Aldoseri
6.5
Qatar University
Qatar· Cited your work 1 time
IndependentDiversifies geography
#9
Rachel Cardell-Oliver
5.0
The University of Western Australia
Australia· Cited your work 1 time
Independent
#10
Maira Alvi
5.0
The University of Western Australia
Australia· Cited your work 1 time
Independent

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.

Cited by 5 papers

5 / 5 independent

Citations flagged as non-independent share the scholar's home institution (California Institute of Technology). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Cynthia Rudin
Nature Machine Intelligence· cites “From Data Mining to Knowledge Discovery: An Overview”
(title pending — citation is still being processed)
· cites “From Data Mining to Knowledge Discovery: An Overview”
AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact
Abdulaziz Aldoseri, Khalifa N. Al-Khalifa, Abdel Magid Hamouda
Sustainability· cites “From Data Mining to Knowledge Discovery: An Overview”
(title pending — citation is still being processed)
· cites “From Data Mining to Knowledge Discovery: An Overview”
Deep learning in wastewater treatment: a critical review
Maira Alvi, Damien J. Batstone, Christian Kazadi Mbamba, Philip Keymer + 4 more
Water Research· cites “From Data Mining to Knowledge Discovery: An Overview”