Applied Network Science

5.4k citations
627 papers · · active since 2016

Impact in

Papers in

Applied Network Science

530 papers receiving 5.2k citations

Peers

Applied Network Science
Comparison fields: 5 of 189
  • Statistical and Nonlinear Physics 1.7k
  • Transportation 369
  • Modeling and Simulation 174
  • Communication 229
  • Artificial Intelligence 1.0k
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Applied Network Science relative to Big Data United States Big Data's profile →
Citations per field
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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 627 papers published in Applied Network Science in the last decades have received a total of 5.4k indexed citations . Papers published in Applied Network Science usually cover Statistical and Nonlinear Physics (355 papers), Transportation (54 papers), Modeling and Simulation (27 papers), Communication (39 papers) and Computational Mathematics (2 papers) specifically the topics of Complex Network Analysis Techniques (339 papers), Opinion Dynamics and Social Influence (147 papers), Bioinformatics and Genomic Networks (61 papers), Advanced Graph Neural Networks (50 papers), Human Mobility and Location-Based Analysis (43 papers), Complex Systems and Time Series Analysis (39 papers), Mental Health Research Topics (34 papers) and Social Media and Politics (33 papers). The most active scholars publishing in Applied Network Science are Geoff Boeing, Christopher Morris, Nils M. Kriege, Fredrik Johansson, Giulio Rossetti, Hocine Cherifi, Boleslaw Karol Szymanski, Kathleen M. Carley, Gergely Palla and Rémy Cazabet.

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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