Leonardo Galteri

20 papers and 530 indexed citations i.

About

Leonardo Galteri is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Leonardo Galteri has authored 20 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Leonardo Galteri’s work include Advanced Image Processing Techniques (10 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Image Enhancement Techniques (5 papers). Leonardo Galteri is often cited by papers focused on Advanced Image Processing Techniques (10 papers), Generative Adversarial Networks and Image Synthesis (7 papers) and Image Enhancement Techniques (5 papers). Leonardo Galteri collaborates with scholars based in Italy. Leonardo Galteri's co-authors include Alberto Del Bimbo, Marco Bertini, Lorenzo Seidenari, Irene Amerini, Roberto Caldelli, Giuseppe Lisanti, Claudio Ferrari, Stefano Berretti, Andrew D. Bagdanov and Tiberio Uricchio and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition Letters and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of Leonardo Galteri i

Fields of papers citing papers by Leonardo Galteri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonardo Galteri

Since Specialization
Citations

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