Chaos Solitons & Fractals
About
The 14.8k papers published in Chaos Solitons & Fractals in the last decades have received a total of 290.0k indexed citations.
Papers published in Chaos Solitons & Fractals usually cover Statistical and Nonlinear Physics (8.0k papers), Computer Networks and Communications (3.4k papers) and Modeling and Simulation (2.2k papers) specifically the topics of Chaos control and synchronization (2.8k papers), Nonlinear Dynamics and Pattern Formation (2.7k papers) and Nonlinear Waves and Solitons (1.6k papers). The most active scholars publishing in Chaos Solitons & Fractals are Μ.S. El Naschie, Ji‐Huan He, Abdon Atangana, Guanrong Chen, Abdul–Majid Wazwaz, Ju H. Park, Xuhong Wu, Dumitru Băleanu, M.A. Abdou and Zhenya Yan.
In The Last Decade
Fields of papers published in Chaos Solitons & Fractals
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 Chaos Solitons & Fractals. Nodes represent fields, and links connect fields that are likely to share authors.
Countries where authors publish in Chaos Solitons & Fractals
Since SpecializationTotal citations of papers
This map shows the geographic distribution of research published in Chaos Solitons & Fractals. 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 Chaos Solitons & Fractals 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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