Sara Ganzerli
About
Sara Ganzerli is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics.
According to data from OpenAlex, Sara Ganzerli has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Civil and Structural Engineering, 6 papers in Statistics, Probability and Uncertainty and 3 papers in Computational Theory and Mathematics. Recurrent topics in Sara Ganzerli’s work include Probabilistic and Robust Engineering Design (6 papers), Topology Optimization in Engineering (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Sara Ganzerli is often cited by papers focused on Probabilistic and Robust Engineering Design (6 papers), Topology Optimization in Engineering (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Sara Ganzerli collaborates with scholars based in United States, Canada and Mexico. Sara Ganzerli's co-authors include Chris P. Pantelides, Paul De Palma, Lawrence D. Reaveley and Svetlana Brzev and has published in prestigious journals such as Mechanical Systems and Signal Processing, Journal of Structural Engineering and Earthquake Engineering & Structural Dynamics.
In The Last Decade
Fields of papers citing papers by Sara Ganzerli
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 Sara Ganzerli. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sara Ganzerli may publish in the future.
Countries citing papers authored by Sara Ganzerli
Since SpecializationCitations
This map shows the geographic impact of Sara Ganzerli'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 Sara Ganzerli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Ganzerli more than expected).
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