Carlo Arcelli

50 papers and 929 indexed citations i.

About

Carlo Arcelli is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Carlo Arcelli has authored 50 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Graphics and Computer-Aided Design and 4 papers in Computational Mechanics. Recurrent topics in Carlo Arcelli’s work include Medical Image Segmentation Techniques (36 papers), Digital Image Processing Techniques (34 papers) and Image Retrieval and Classification Techniques (18 papers). Carlo Arcelli is often cited by papers focused on Medical Image Segmentation Techniques (36 papers), Digital Image Processing Techniques (34 papers) and Image Retrieval and Classification Techniques (18 papers). Carlo Arcelli collaborates with scholars based in Italy, Japan and Belarus. Carlo Arcelli's co-authors include Gabriella Sanniti di Baja, L.P. Cordella, S. Levialdi, Keiichi Abe, Andreas Held, Maria Frucci, Sergey Ablameyko, Leila De Floriani, Nadia Brancati and Stina Svensson and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Carlo Arcelli i

Fields of papers citing papers by Carlo Arcelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlo Arcelli

Since Specialization
Citations

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