Social Network Analysis and Mining

1.3k papers and 12.7k indexed citations i.

About

The 1.3k papers published in Social Network Analysis and Mining in the last decades have received a total of 12.7k indexed citations. Papers published in Social Network Analysis and Mining usually cover Statistical and Nonlinear Physics (618 papers), Artificial Intelligence (541 papers) and Sociology and Political Science (391 papers) specifically the topics of Complex Network Analysis Techniques (590 papers), Opinion Dynamics and Social Influence (342 papers) and Sentiment Analysis and Opinion Mining (197 papers). The most active scholars publishing in Social Network Analysis and Mining are Florian Michahelles, Irena Pletikosa Cvijikj, James G. Scott, Stefan Stieglitz, Linh Dang-Xuan, Rupali Verma, Huan Liu, Jiliang Tang, Xia Hu and Sovan Samanta.

In The Last Decade

Fields of papers published in Social Network Analysis and Mining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Social Network Analysis and Mining. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Social Network Analysis and Mining.

Countries where authors publish in Social Network Analysis and Mining

Since Specialization
Citations

This map shows the geographic impact of research published in Social Network Analysis and Mining. 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 papers published in Social Network Analysis and Mining with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Social Network Analysis and Mining 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025