Applied Network Science

490 papers receiving 4.3k citations

Peers

Applied Network Science
Comparison fields: 5 of 190
  • Statistical and Nonlinear Physics 1.4k
  • Artificial Intelligence 832
  • Sociology and Political Science 684
  • Economics and Econometrics 415
  • Molecular Biology 400
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Applied Network Science relative to Journal of Complex Networks United States Journal of Complex Networks's profile →
Citations per field
00.5×1.5×
Journal of Complex Networks · 1×
Citations per year

Countries where authors publish in Applied Network Science

Since Specialization
Citations

This map shows the geographic impact of research published in Applied 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 Applied 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 Applied Network Science more than expected).

Fields of papers published in Applied Network Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied 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 Applied Network Science.

About Applied Network Science

The 560 papers published in Applied Network Science in the last decades have received a total of 4.4k indexed citations . Papers published in Applied Network Science usually cover Statistical and Nonlinear Physics (328 papers), Transportation (53 papers) and Modeling and Simulation (25 papers) specifically the topics of Complex Network Analysis Techniques (314 papers), Opinion Dynamics and Social Influence (145 papers) and Bioinformatics and Genomic Networks (55 papers). The most active scholars publishing in Applied Network Science are Geoff Boeing, Christopher Morris, Nils M. Kriege, Fredrik Johansson, Giulio Rossetti, Bolesław K. Szymański, Hocine Cherifi, Gergely Palla, Rémy Cazabet and Kathleen M. Carley.

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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2026