Jonathan Hays: H-Index 1 · 318K Citations | Citation Map
Jonathan Hays
Jonathan Hays is a researcher affiliated with Queen Mary University of London, specializing in AI & Machine Learning. Their work has been cited 317,504 times. This profile visualizes their global influence, highlighting strong citation networks in US.
One-time payment. Full data, CSV export, and embed code.
Viewing Limited Data
Showing up to 10 papers and top 10 citing sources. Upgrade to see all 1 paper and complete citation data.
Jonathan Hays's Citation Metrics
Bibliometric impact based on 1 indexed publication.
H-Index
1
i10-Index
1
Total Citations
317,504
Citing Countries
7
As of April 2026.
Jonathan Hays has an h-index of 1 and 317,504 total citations across 1 publication, with research cited by institutions in 7 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Marker
Color
Loading map
Top Citing Countries(Limited)
United States(US)
12
Germany(DE)
4
France(FR)
2
Switzerland(CH)
1
Chile(CL)
1
Spain(ES)
1
Netherlands(NL)
1
Top Citing Institutions(Limited)
Brookhaven National Laboratory
3
The Ohio State University
2
Old Dominion University
1
Vrije Universiteit Amsterdam & Nikhef
1
University of California, Riverside
1
Universität Freiburg
1
CERN
1
Aix-Marseille Université
1
Universität Bonn
1
CEA
1
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 7 of 7 countries (22 total citations).
Press enter or space to select a node. You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.
Press enter or space to select an edge. You can then press delete to remove it or escape to cancel.
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
RV
R. Venugopalan
7.0
Brookhaven National Laboratory
USA· Cited your work 1 time
IndependentTop institution
#2
JA
J. Adam
7.0
Brookhaven National Laboratory
USA· Cited your work 1 time
IndependentTop institution
#3
RA
R. Abdul Khalek
8.5
Vrije Universiteit Amsterdam & Nikhef
Netherlands· Cited your work 1 time
IndependentTop institutionDiversifies geography
#4
AJ
Andrzej J. Buras
7.0
Technische Universität München
Germany· Cited your work 1 time
IndependentTop institution
#5
GH
Gudrun Heinrich
7.0
Karlsruhe Institute of Technology
Germany· Cited your work 1 time
IndependentTop institution
#6
TA
The ATLAS Collaboration
8.5
CERN
Switzerland· Cited your work 1 time
IndependentTop institutionDiversifies geography
#7
FS
F. Sabatié
5.0
CEA
France· Cited your work 1 time
Independent
#8
WB
W. Brooks
6.5
Universidad Técnica Federico Santa María
Chile· Cited your work 1 time
IndependentDiversifies geography
#9
NA
N. Armesto
6.5
Universidade de Santiago de Compostela
Spain· Cited your work 1 time
IndependentDiversifies geography
#10
GA
G. Aad
5.0
Aix-Marseille Université
France· 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.