Martin Rosalie

14 papers and 217 indexed citations i.

About

Martin Rosalie is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics. According to data from OpenAlex, Martin Rosalie has authored 14 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Computer Networks and Communications and 4 papers in Mathematical Physics. Recurrent topics in Martin Rosalie’s work include Chaos control and synchronization (7 papers), Mathematical Dynamics and Fractals (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Martin Rosalie is often cited by papers focused on Chaos control and synchronization (7 papers), Mathematical Dynamics and Fractals (4 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Martin Rosalie collaborates with scholars based in France, Luxembourg and Thailand. Martin Rosalie's co-authors include Pascal Bouvry, Grégoire Danoy, Christophe Letellier, Jan Dentler and Holger Voos and has published in prestigious journals such as Journal of Theoretical Biology, Chaos An Interdisciplinary Journal of Nonlinear Science and International Journal of Bifurcation and Chaos.

In The Last Decade

Fields of papers citing papers by Martin Rosalie

Since Specialization
EngineeringComputer 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 Martin Rosalie. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Martin Rosalie may publish in the future.

Countries citing papers authored by Martin Rosalie

Since Specialization
Citations

This map shows the geographic impact of Martin Rosalie'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 Martin Rosalie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Rosalie more than expected).

Rankless by CCL
2025