Applied Network Science
About
The 590 papers published in Applied Network Science in the last decades have received a total of 4.5k indexed citations.
Papers published in Applied Network Science usually cover Statistical and Nonlinear Physics (357 papers), Sociology and Political Science (108 papers) and Artificial Intelligence (103 papers) specifically the topics of Complex Network Analysis Techniques (343 papers), Opinion Dynamics and Social Influence (153 papers) and Bioinformatics and Genomic Networks (62 papers). The most active scholars publishing in Applied Network Science are Geoff Boeing, Darren J. Wilkinson, Clement Lee, Giulio Rossetti, Kathleen M. Carley, Bolesław K. Szymański, Hocine Cherifi, James P. Bagrow, Erik M. Bollt and Piet Van Mieghem.
In The Last Decade
Fields of papers published in Applied Network Science
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers published in Applied Network Science. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Applied Network Science
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Applied Network Science. It shows the number of citations received by papers published by authors working in each country. You can also color the map by specialization and compare the number of papers published in Applied Network Science with the expected number of papers based on a country's size and research output (numbers larger than one mean the country's share of papers is larger than expected).
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