Federico Cruciani

19 papers and 213 indexed citations i.

About

Federico Cruciani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Federico Cruciani has authored 19 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Federico Cruciani’s work include Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Pose and Action Recognition (4 papers). Federico Cruciani is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Human Pose and Action Recognition (4 papers). Federico Cruciani collaborates with scholars based in United Kingdom, Sweden and Spain. Federico Cruciani's co-authors include Chris Nugent, Ian Cleland, Paul McCullagh, Liming Chen, Kåre Synnes, Josef Hallberg, Raouf Hamzaoui, Konstantinos Votis, Dimitrios Tzovaras and Anastasios Vafeiadis and has published in prestigious journals such as PLoS ONE, Advanced Energy Materials and Sensors.

In The Last Decade

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

Fields of papers citing papers by Federico Cruciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Cruciani

Since Specialization
Citations

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