Jure Leskovec
- Statistical and Nonlinear Physics top 0.01%
- Artificial Intelligence top 0.01%
- Information Systems top 0.01%
- Computer Networks and Communications top 0.05%
- Computer Vision and Pattern Recognition top 0.1%
- Co-authors
- Aditya GroverJon KleinbergChristos FaloutsosJulian McAuleyJaewon YangSeth A. MyersAndrej KrevlDaniel P. Huttenlocher
- Topics
- Complex Network Analysis Techniques (101 papers)Opinion Dynamics and Social Influence (67 papers)Advanced Graph Neural Networks (56 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jure Leskovec
266 papers receiving 47.7k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Statistical and Nonlinear Physics 22.2k
- Artificial Intelligence 20.8k
- Information Systems 9.2k
- Computer Networks and Communications 7.6k
- Computer Vision and Pattern Recognition 5.8k
Countries citing papers authored by Jure Leskovec
This map shows the geographic impact of Jure Leskovec's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jure Leskovec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jure Leskovec more than expected).
Fields of papers citing papers by Jure Leskovec
This network shows the impact of papers produced by Jure Leskovec. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jure Leskovec. The network helps show where Jure Leskovec may publish in the future.
Co-authorship network of co-authors of Jure Leskovec
This figure shows the co-authorship network connecting the top 25 collaborators of Jure Leskovec. A scholar is included among the top collaborators of Jure Leskovec based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jure Leskovec. Jure Leskovec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | A foundation model for clinician-centered drug repurposingbreakdown → | 72 |
| 4 | 32 | |
| 5 | 3 | |
| 6 | Predicting transcriptional outcomes of novel multigene perturbations with GEARSbreakdown → | 98 |
| 7 | 0 | |
| 8 | 36 | |
| 9 | An algorithmic approach to reducing unexplained pain disparities in underserved populationsbreakdown → | 158 |
| 10 | Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning | 6 |
| 11 | 81 | |
| 12 | GraphRNN: A Deep Generative Model for Graphs | 19 |
| 13 | Diachronic Word Embeddings Reveal Statistical Laws of Semantic Changebreakdown → | 404 |
| 14 | Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making | 6 |
| 15 | 8 | |
| 16 | 185 | |
| 17 | 116 | |
| 18 | Impact of linguistic analysis on the semantic graph coverage and learning of document extracts | 27 |
| 19 | 48 | |
| 20 | Linear programming boosting for uneven datasets | 22 |
About Jure Leskovec
Jure Leskovec is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Communication, having authored 275 papers that have together received 49.6k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (101 papers), Opinion Dynamics and Social Influence (67 papers) and Advanced Graph Neural Networks (56 papers). The work is most often cited by research in Statistical and Nonlinear Physics (22.2k citations), Artificial Intelligence (20.8k citations) and Transportation (3.9k citations). Jure Leskovec has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Aditya Grover, Jon Kleinberg, Christos Faloutsos, Julian McAuley, Jaewon Yang, Seth A. Myers, Andrej Krevl, Daniel P. Huttenlocher, Lars Bäckström and Eunjoon Cho. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.