Laura Cruciani

10 papers and 410 indexed citations i.

About

Laura Cruciani is a scholar working on Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Aerospace Engineering. According to data from OpenAlex, Laura Cruciani has authored 10 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Pediatrics, Perinatology and Child Health and 2 papers in Aerospace Engineering. Recurrent topics in Laura Cruciani’s work include Soft Robotics and Applications (2 papers), Augmented Reality Applications (2 papers) and Biomarkers in Disease Mechanisms (2 papers). Laura Cruciani is often cited by papers focused on Soft Robotics and Applications (2 papers), Augmented Reality Applications (2 papers) and Biomarkers in Disease Mechanisms (2 papers). Laura Cruciani collaborates with scholars based in Italy, United States and China. Laura Cruciani's co-authors include Gian Carlo Di Renzo, Alessia Rosati, A. Cutuli, Juan Pedro Kusanovic, Roberto Romero, Shali Mazaki‐Tovi, Giovanna Oggè, Lami Yeo, Pooja Mittal and Zhong Dong and has published in prestigious journals such as Neural Networks, Computer Methods and Programs in Biomedicine and The Journal of Maternal-Fetal & Neonatal Medicine.

In The Last Decade

Co-authorship network of co-authors of Laura Cruciani i

Fields of papers citing papers by Laura Cruciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Cruciani. 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 Laura Cruciani. The network helps show where Laura Cruciani may publish in the future.

Countries citing papers authored by Laura Cruciani

Since Specialization
Citations

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