# Jure Leskovec

> Slovene computer scientist

**Wikidata**: [Q23770313](https://www.wikidata.org/wiki/Q23770313)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Jure_Leskovec)  
**Source**: https://4ort.xyz/entity/jure-leskovec

## Summary
Jure Leskovec is a Slovene computer scientist known for his pioneering work in network analysis and data mining. He is a professor at Stanford University and co-author of the widely used textbook "Mining of Massive Datasets."

## Biography
- Born: May 1980
- Nationality: Slovenian (citizenship since 1991)
- Education: University of Ljubljana
- Known for: Network analysis, data mining, and graph algorithms
- Employer(s): Stanford University
- Field(s): Computer science, informatics, information technology

## Contributions
Jure Leskovec has made significant contributions to the field of network analysis and data mining. He co-authored the influential textbook "Mining of Massive Datasets" with Anand Rajaraman and Jeffrey Ullman, which has become a standard reference in the field. His research focuses on mining and modeling large social and information networks, with applications in areas such as social media analysis, recommender systems, and computational social science. Leskovec has developed numerous algorithms for analyzing network structure, community detection, and link prediction that are widely used in both academia and industry. His work has been instrumental in advancing our understanding of how information spreads through networks and how to extract meaningful insights from massive datasets.

## FAQs
### Q: What is Jure Leskovec known for?
A: Jure Leskovec is known for his pioneering work in network analysis, data mining, and graph algorithms, particularly his research on social and information networks.

### Q: Where does Jure Leskovec work?
A: Jure Leskovec is a professor at Stanford University, where he is affiliated with the Computer Science Department and the Institute for Human-Centered Artificial Intelligence.

### Q: What is Jure Leskovec's most famous publication?
A: His most famous publication is the textbook "Mining of Massive Datasets," co-authored with Anand Rajaraman and Jeffrey Ullman, which is widely used in computer science education.

## Why They Matter
Jure Leskovec's work has fundamentally changed how we understand and analyze large-scale networks and datasets. His algorithms and methodologies have become essential tools for researchers and practitioners working with social media data, web graphs, and other complex networks. By developing scalable techniques for mining massive datasets, Leskovec has enabled new applications in recommendation systems, fraud detection, and social network analysis that would have been impossible with traditional data analysis methods. His contributions have not only advanced academic research but have also had practical impact on how companies and organizations leverage network data for decision-making and product development.

## Notable For
- Co-author of the influential textbook "Mining of Massive Datasets"
- Recipient of the Lagrange Prize in 2015
- Ambassador of Science of the Republic of Slovenia (2025)
- Developer of widely-used network analysis algorithms
- Professor at Stanford University with over 192,980 citations

## Body
### Academic Background
Jure Leskovec completed his education at the University of Ljubljana before pursuing advanced studies in computer science. His doctoral advisor was Christos Faloutsos, a prominent figure in data mining and database research.

### Research Focus
Leskovec's research primarily focuses on mining and modeling large social and information networks. His work encompasses areas such as community detection, link prediction, and information diffusion in networks. He has developed numerous algorithms that have become standard tools in network analysis.

### Publications and Impact
With over 192,980 citations and an h-index of 192, Leskovec's research has had a substantial impact on the field. His work has been published in top-tier conferences and journals, and he maintains an active presence in the academic community through his teaching and mentorship of doctoral students.

### Industry Applications
Beyond academia, Leskovec's research has found applications in various industries. His algorithms for network analysis are used by companies for tasks ranging from recommendation systems to fraud detection. His work on information diffusion has implications for understanding viral content and marketing strategies.

### Recognition and Awards
Leskovec has received numerous accolades for his contributions to computer science, including the prestigious Lagrange Prize in 2015. In 2025, he was named Ambassador of Science of the Republic of Slovenia, recognizing his international impact in the field.

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## References

1. SICRIS
2. [Source](https://profiles.stanford.edu/jure-leskovec)
3. Mathematics Genealogy Project
4. Czech National Authority Database
5. [Eredoctoraten 2025 | Eredoctoraten | Universiteit Antwerpen](https://www.uantwerpen.be/nl/evenementen/eredoctoraten/voorbije-edities/eredoctoraten-2025/)
6. Virtual International Authority File
7. [Dr. Jure Leskovec, a young scholar of promise](http://www.personal.psu.edu/hxk263/blogs/ist590/2008/10/dr-jure-leskovec-a-young-scholar-of-promise.html)
8. CONOR.SI
9. [Source](https://hai.stanford.edu/people/faculty)
10. Quora
11. [SciGraph](https://scigraph.springernature.com/person.014131712635.08)