IEEE Transactions on Computational Social Systems · 1×
×1.24k/4kSNP
×2.52k/805COMMU
×0.67k/10kAI
×0.54k/7kIS
×1.45k/4kSPS
Citations per year
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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).
Fields of papers published in Social Network Analysis and Mining
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.
About Social Network Analysis and Mining
The 1.3k papers published in Social Network Analysis and Mining in the last decades have received a total of 16.0k indexed citations . Papers published in Social Network Analysis and Mining usually cover Statistical and Nonlinear Physics (620 papers), Communication (169 papers), Artificial Intelligence (570 papers), Information Systems (345 papers) and Sociology and Political Science (417 papers) specifically the topics of Complex Network Analysis Techniques (587 papers), Opinion Dynamics and Social Influence (340 papers), Sentiment Analysis and Opinion Mining (210 papers), Misinformation and Its Impacts (207 papers), Spam and Phishing Detection (194 papers), Social Media and Politics (120 papers), Advanced Text Analysis Techniques (109 papers) and Advanced Graph Neural Networks (99 papers). The most active scholars publishing in Social Network Analysis and Mining are Florian Michahelles, Irena Pletikosa Cvijikj, James G. Scott, Rupali Verma, Linh Dang-Xuan, Stefan Stieglitz, Huan Liu, Jiliang Tang, Xia Hu and Sovan Samanta.
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.