Michael Field
About
Michael Field is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computer Networks and Communications.
According to data from OpenAlex, Michael Field has authored 34 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mathematical Physics, 13 papers in Statistical and Nonlinear Physics and 12 papers in Computer Networks and Communications. Recurrent topics in Michael Field’s work include Nonlinear Dynamics and Pattern Formation (12 papers), Mathematical Dynamics and Fractals (11 papers) and Quantum chaos and dynamical systems (10 papers). Michael Field is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (12 papers), Mathematical Dynamics and Fractals (11 papers) and Quantum chaos and dynamical systems (10 papers). Michael Field collaborates with scholars based in United States, United Kingdom and Romania. Michael Field's co-authors include Ian Melbourne, Peter Ashwin, Andrei Török, O.A. Asbjørnsen, Martin Golubitsky, Nikita Agarwal, William Parry, Matthew Nicol, Christian Bick and R. Friedberg and has published in prestigious journals such as Chemical Engineering Science, Annals of Mathematics and Physica D Nonlinear Phenomena.
In The Last Decade
Co-authorship network of co-authors of Michael Field i
Fields of papers citing papers by Michael Field
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 citing the papers produced by Michael Field. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael Field may publish in the future.
Countries citing papers authored by Michael Field
Since SpecializationCitations
This map shows the geographic impact of Michael Field's research. 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 Michael Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Field more than expected).
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