Sara Ganzerli

9 papers and 308 indexed citations i.

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 308 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, Mexico and Canada. Sara Ganzerli's co-authors include Chris P. Pantelides, Lawrence D. Reaveley, Svetlana Brzev and Paul De Palma 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

Co-authorship network of co-authors of Sara Ganzerli i

Fields of papers citing papers by Sara Ganzerli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Ganzerli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sara Ganzerli. The network helps show where Sara Ganzerli may publish in the future.

Countries citing papers authored by Sara Ganzerli

Since Specialization
Citations

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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025