Cristina Segalin

10 papers and 262 indexed citations i.

About

Cristina Segalin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Cristina Segalin has authored 10 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 3 papers in Artificial Intelligence. Recurrent topics in Cristina Segalin’s work include Authorship Attribution and Profiling (3 papers), Aesthetic Perception and Analysis (3 papers) and Face Recognition and Perception (2 papers). Cristina Segalin is often cited by papers focused on Authorship Attribution and Profiling (3 papers), Aesthetic Perception and Analysis (3 papers) and Face Recognition and Perception (2 papers). Cristina Segalin collaborates with scholars based in United States, Italy and United Kingdom. Cristina Segalin's co-authors include Marco Cristani, Alessandro Perina, Alessandro Vinciarelli, Dong Cheng, David Stillwell, Sandra Matz, Nicu Sebe, Sandrine R. Müller, Maarten W. Bos and Jennifer J. Sun and has published in prestigious journals such as eLife, Journal of Consumer Psychology and IEEE Transactions on Information Forensics and Security.

In The Last Decade

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

Fields of papers citing papers by Cristina Segalin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cristina Segalin

Since Specialization
Citations

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