Cristina Frà

About

Cristina Frà is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Cristina Frà has authored 5 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Cristina Frà’s work include Context-Aware Activity Recognition Systems (3 papers), IoT and Edge/Fog Computing (2 papers) and Advanced Software Engineering Methodologies (1 paper). Cristina Frà is often cited by papers focused on Context-Aware Activity Recognition Systems (3 papers), IoT and Edge/Fog Computing (2 papers) and Advanced Software Engineering Methodologies (1 paper). Cristina Frà collaborates with scholars based in Italy, Norway and Australia. Cristina Frà's co-authors include Massimo Valla, Kurt Geihs, Jacqueline Floch, Jorge Luís Mena Lorenzo, Ulrich Scholz, Michael Wagner, Nearchos Paspallis, Hossein Rahnama, Paolo Cremonesi and Fabio Lavagetto and has published in prestigious journals such as Software Practice and Experience, Service Oriented Computing and Applications and National Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Cristina Frà i

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Fields of papers citing papers by Cristina Frà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cristina Frà

Since Specialization

Citations

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