Learning to Discover Social Circles in Ego Networks

1.1k indexed citations

Abstract

loading...

About

This paper, published in 2012, received 1.1k indexed citations. Written by Jure Leskovec and Julian McAuley covering the research area of Statistical and Nonlinear Physics and Artificial Intelligence. It is primarily cited by scholars working on Statistical and Nonlinear Physics (777 citations), Artificial Intelligence (474 citations) and Computer Networks and Communications (235 citations). Published in Neural Information Processing Systems.

In The Last Decade

doi.org/w5991919 →

Countries where authors are citing Learning to Discover Social Circles in Ego Networks

Specialization
Citations

This map shows the geographic impact of Learning to Discover Social Circles in Ego Networks. 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 Learning to Discover Social Circles in Ego Networks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Learning to Discover Social Circles in Ego Networks more than expected).

Fields of papers citing Learning to Discover Social Circles in Ego Networks

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Learning to Discover Social Circles in Ego Networks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Learning to Discover Social Circles in Ego Networks.

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.

This paper is also available at doi.org/w5991919.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026