Countries where authors publish in Network Science
Since Specialization
Citations
This map shows the geographic impact of research published in Network Science. 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 Network Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Network Science more than expected).
This network shows the impact of papers published in Network Science. 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 Network Science.
About Network Science
The 249 papers published in Network Science in the last decades have received a total of 2.7k indexed citations . Papers published in Network Science usually cover Statistical and Nonlinear Physics (154 papers), Communication (25 papers) and Experimental and Cognitive Psychology (37 papers) specifically the topics of Complex Network Analysis Techniques (140 papers), Opinion Dynamics and Social Influence (88 papers), Mental Health Research Topics (37 papers), Social Capital and Networks (35 papers), Social Media and Politics (22 papers), Bioinformatics and Genomic Networks (18 papers), Game Theory and Applications (17 papers) and Evolutionary Game Theory and Cooperation (12 papers). The most active scholars publishing in Network Science are Per Block, Thomas Grund, Ulrik Brandes, M. E. J. Newman, B. Ball, Ann McCranie, Stanley Wasserman, Matteo Magnani, Zachary P. Neal and Garry Robins.
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.