Cristiano Saltori

10 papers and 118 indexed citations i.

About

Cristiano Saltori is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Cristiano Saltori has authored 10 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Mechanics and 5 papers in Geology. Recurrent topics in Cristiano Saltori’s work include 3D Surveying and Cultural Heritage (5 papers), Advanced Neural Network Applications (5 papers) and 3D Shape Modeling and Analysis (5 papers). Cristiano Saltori is often cited by papers focused on 3D Surveying and Cultural Heritage (5 papers), Advanced Neural Network Applications (5 papers) and 3D Shape Modeling and Analysis (5 papers). Cristiano Saltori collaborates with scholars based in Italy, Australia and United States. Cristiano Saltori's co-authors include Giulia Boato, Francesco Marra, Luisa Verdoliva, Elisa Ricci, Nicu Sebe, Fabio Galasso, Stéphane Lathuilière, Fabio Poiesi, Nicola Conci and Guofeng Mei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Cristiano Saltori i

Fields of papers citing papers by Cristiano Saltori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cristiano Saltori

Since Specialization
Citations

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