Patricia Gaitan

About

Patricia Gaitan is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Control and Systems Engineering. According to data from OpenAlex, Patricia Gaitan has authored 21 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 19 papers in Mathematical Physics and 9 papers in Control and Systems Engineering. Recurrent topics in Patricia Gaitan’s work include Advanced Mathematical Modeling in Engineering (19 papers), Inverse Problems in Mathematical Physics and Imaging (19 papers) and Stability and Controllability of Differential Equations (9 papers). Patricia Gaitan is often cited by papers focused on Advanced Mathematical Modeling in Engineering (19 papers), Inverse Problems in Mathematical Physics and Imaging (19 papers) and Stability and Controllability of Differential Equations (9 papers). Patricia Gaitan collaborates with scholars based in France, Algeria and Japan. Patricia Gaitan's co-authors include Michel Cristofol, Assia Benabdallah, Samuli Siltanen, Laure Cardoulis and Hiroshi Isozaki and has published in prestigious journals such as SIAM Journal on Control and Optimization, Inverse Problems and SIAM Journal on Mathematical Analysis.

In The Last Decade

Fields of papers citing papers by Patricia Gaitan

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

Countries citing papers authored by Patricia Gaitan

Since Specialization

Citations

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

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