Jure Leskovec: h-index, Total Citations, and Citation Map
Jure Leskovec's h-index is 1 (1 i10-index, 240,450+ total citations across 1+ publications) according to Google Scholar as of June 2026. Jure Leskovec is affiliated with Professor of Computer Science, Stanford University.
Jure Leskovec is a researcher affiliated with Professor of Computer Science, Stanford University, specializing in AI & Machine Learning. Their work has been cited 240,450 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jure Leskovec's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 240,450
- Citing Countries
- 10
As of June 2026.
Jure Leskovec has an h-index of 1 and 240,450 total citations across 1 publication, with research cited by institutions in 10 countries.
Global Impact Map
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Inductive Representation Learning on Large Graphs
201726,097
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 Jure Leskovec's research
Jure Leskovec is a researcher in AI & Machine Learning at Professor of Computer Science, Stanford University. Their work has been cited 240,450 times across 1 publications, according to Google Scholar.
Their most-cited work, “Inductive Representation Learning on Large Graphs” (2017), has accumulated 26,097 citations.
Citations of Jure Leskovec's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
