Jure Leskovec: h-index, Total Citations, and Citation Map
Jure Leskovec's h-index is 181 (449 i10-index, 264,610+ total citations across 620+ publications) according to Google Scholar as of September 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 264,610 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jure Leskovec's Citation Metrics
Bibliometric impact based on 620 indexed publications.
- H-Index
- 181
- i10-Index
- 449
- Total Citations
- 264,610
- Citing Countries
- 95
As of September 2026.
Jure Leskovec has an h-index of 181 and 264,610 total citations across 620 publications, with research cited by institutions in 95 countries.
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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 264,610 times across 620 publications (h-index 181), according to Google Scholar.
Their most-cited work, “Inductive Representation Learning on Large Graphs” (2017), has accumulated 26,097 citations. Other influential works include “node2vec: Scalable feature learning for networks” (2016) with 16,877 citations and “How powerful are graph neural networks?” (2018) with 15,315 citations.
Citations of Jure Leskovec's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
