Jonathan Hays: h-index, Total Citations, and Citation Map
Jonathan Hays's h-index is 1 (1 i10-index, 317,504+ total citations across 1+ publications) according to Google Scholar as of June 2026. Jonathan Hays is affiliated with Queen Mary University of London.
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 Germany.
Jonathan Hays's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 317,504
- Citing Countries
- 29
As of June 2026.
Jonathan Hays has an h-index of 1 and 317,504 total citations across 1 publication, with research cited by institutions in 29 countries.
Global Impact Map
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Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC
201224,903
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jonathan Hays's research
Jonathan Hays is a researcher in AI & Machine Learning at Queen Mary University of London. Their work has been cited 317,504 times across 1 publications, according to Google Scholar.
Their most-cited work, “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC” (2012), has accumulated 24,903 citations.
Citations of Jonathan Hays's research come primarily from Germany, United States and Switzerland, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
