Francesco Cricri

27 papers and 255 indexed citations i.

About

Francesco Cricri is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Francesco Cricri has authored 27 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Francesco Cricri’s work include Advanced Image Processing Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (5 papers). Francesco Cricri is often cited by papers focused on Advanced Image Processing Techniques (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Analysis and Summarization (5 papers). Francesco Cricri collaborates with scholars based in Finland, United States and Germany. Francesco Cricri's co-authors include Emre Aksu, Çağlar Aytekin, Lixin Fan, Joni‐Kristian Kämäräinen, Honglei Zhang, Esa Rahtu, Wenyan Yang, Yanlin Qian, Moncef Gabbouj and Igor D. D. Curcio and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Francesco Cricri i

Fields of papers citing papers by Francesco Cricri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Cricri

Since Specialization
Citations

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