Martin V. Day

30 papers and 353 indexed citations i.

About

Martin V. Day is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, Martin V. Day has authored 30 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 12 papers in Mathematical Physics and 8 papers in Control and Systems Engineering. Recurrent topics in Martin V. Day’s work include Stochastic processes and statistical mechanics (9 papers), Quantum chaos and dynamical systems (8 papers) and stochastic dynamics and bifurcation (6 papers). Martin V. Day is often cited by papers focused on Stochastic processes and statistical mechanics (9 papers), Quantum chaos and dynamical systems (8 papers) and stochastic dynamics and bifurcation (6 papers). Martin V. Day collaborates with scholars based in United States and Russia. Martin V. Day's co-authors include Joseph A. Ball, Pushkin Kachroo, Thomas A. Darden, John R. Hall and Guodong Pang and has published in prestigious journals such as Automatica, Journal of Mathematical Analysis and Applications and SIAM Journal on Control and Optimization.

In The Last Decade

Fields of papers citing papers by Martin V. Day

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

Countries citing papers authored by Martin V. Day

Since Specialization
Citations

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

Rankless by CCL
2025