2026 Jure Leskovec: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	146	41	39	23	22	435	146585

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2012 - Fellow of Alfred P. Sloan Foundation

Overview

Jure Leskovec is affiliated with Stanford University in the United States. Their research is concentrated primarily in the field of Computer Science, with a significant output of 255 publications. Within this domain, their work spans several subfields including Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Materials Chemistry.

Their research topics include:

Advanced Graph Neural Networks
Topic Modeling
Single-cell and spatial transcriptomics
Machine Learning in Materials Science
Cell Image Analysis Techniques
Complex Network Analysis Techniques
Computational Drug Discovery Methods

Jure Leskovec has published in a range of prominent venues. The most frequent publication venues include:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Nature
Proceedings of the International AAAI Conference on Web and Social Media
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Examples of recent papers by Leskovec cover diverse topics and venues, including:

"Using Embeddings to Improve Named Entity Recognition Classification with Graphs" (2024, Leibniz-Zentrum für Informatik, Schloss Dagstuhl)
"Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games" (2025, Zenodo, CERN European Organization for Nuclear Research)
"On the Opportunities and Risks of Foundation Models" (2021, arXiv, Cornell University)
"Mobility network models of COVID-19 explain inequities and inform reopening" (2020, Nature)
"Scientific discovery in the age of artificial intelligence" (2023, Nature)

Leskovec has collaborated frequently with several coauthors, notably:

Maria Brbić (21 joint publications)
Kexin Huang (18 joint publications)
Michihiro Yasunaga (18 joint publications)
Kaidi Cao (18 joint publications)
Jiaxuan You (17 joint publications)

In addition to articles, Jure Leskovec has one book publication:

"Mining of Massive Datasets" (2020, Cambridge University Press)

The scientist has been recognized as a Fellow of the Alfred P. Sloan Foundation in 2012.

Best Publications

node2vec: Scalable Feature Learning for Networks

Aditya Grover;Jure Leskovec

11318
Citations
Inductive Representation Learning on Large Graphs

William L. Hamilton;Rex Ying;Jure Leskovec

6738
Citations
Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Rex Ying;Ruining He;Kaifeng Chen;Pong Eksombatchai

4992
Citations
Inductive Representation Learning on Large Graphs

William L. Hamilton;Zhitao Ying;Jure Leskovec

4981
Citations
How Powerful are Graph Neural Networks

Keyulu Xu;Weihua Hu;Jure Leskovec;Stefanie Jegelka

4618
Citations
Friendship and mobility: user movement in location-based social networks

Eunjoon Cho;Seth A. Myers;Jure Leskovec

3626
Citations
{SNAP Datasets}: {Stanford} Large Network Dataset Collection

Jure Leskovec;Andrej Krevl

3614
Citations
Graphs over time: densification laws, shrinking diameters and possible explanations

Jure Leskovec;Jon Kleinberg;Christos Faloutsos

3402
Citations
Graph evolution: Densification and shrinking diameters

Jure Leskovec;Jon Kleinberg;Christos Faloutsos

3375
Citations
Cost-effective outbreak detection in networks

Jure Leskovec;Andreas Krause;Carlos Guestrin;Christos Faloutsos

3108
Citations
The dynamics of viral marketing

Jure Leskovec;Lada A. Adamic;Bernardo A. Huberman

3077
Citations
Defining and evaluating network communities based on ground-truth

Jaewon Yang;Jure Leskovec

2414
Citations
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters

Jure Leskovec;Kevin J. Lang;Anirban Dasgupta;Michael W. Mahoney

2315
Citations
Learning to Discover Social Circles in Ego Networks

Jure Leskovec;Julian J. Mcauley

2187
Citations
On the Opportunities and Risks of Foundation Models.

Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

2127
Citations
Meme-tracking and the dynamics of the news cycle

Jure Leskovec;Lars Backstrom;Jon Kleinberg

2063
Citations
Hidden factors and hidden topics: understanding rating dimensions with review text

Julian McAuley;Jure Leskovec

1919
Citations
Predicting positive and negative links in online social networks

Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

1820
Citations
Signed networks in social media

Jure Leskovec;Daniel Huttenlocher;Jon Kleinberg

1600
Citations
Mobility network models of COVID-19 explain inequities and inform reopening.

Serina Chang;Emma Pierson;Emma Pierson;Pang Wei Koh;Jaline Gerardin

1526
Citations
Hierarchical graph representation learning with differentiable pooling

Zhitao Ying;Jiaxuan You;Christopher Morris;Xiang Ren

986
Citations

Frequent Co-Authors

Jon Kleinberg Cornell University

Marinka Zitnik Harvard University

Christos Faloutsos Carnegie Mellon University

Dan Jurafsky Stanford University

Julian McAuley University of California, San Diego

Daniel P. Huttenlocher MIT

Anand Rajaraman Rocketship.vc

Carlos Guestrin Stanford University

Stephen Boyd Stanford University

Jeffrey D. Ullman Stanford University

External Links

Wikipedia of Jure Leskovec Personal website of Jure Leskovec Google Scholar page

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