Jure Leskovec

203 papers and 30.5k indexed citations i.

About

Jure Leskovec is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Jure Leskovec has authored 203 papers receiving a total of 30.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Artificial Intelligence, 71 papers in Statistical and Nonlinear Physics and 28 papers in Molecular Biology. Recurrent topics in Jure Leskovec’s work include Complex Network Analysis Techniques (68 papers), Advanced Graph Neural Networks (44 papers) and Opinion Dynamics and Social Influence (43 papers). Jure Leskovec is often cited by papers focused on Complex Network Analysis Techniques (68 papers), Advanced Graph Neural Networks (44 papers) and Opinion Dynamics and Social Influence (43 papers). Jure Leskovec collaborates with scholars based in United States, Germany and Canada. Jure Leskovec's co-authors include Aditya Grover, Jon Kleinberg, Christos Faloutsos, Jaewon Yang, Julian McAuley, Daniel P. Huttenlocher, Marinka Žitnik, Kevin Lang, Michael W. Mahoney and Andreas Krause and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Jure Leskovec i

Fields of papers citing papers by Jure Leskovec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jure Leskovec

Since Specialization
Citations

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).

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.

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