Lorenzo Seidenari

47 papers and 1.1k indexed citations i.

About

Lorenzo Seidenari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Lorenzo Seidenari has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Lorenzo Seidenari’s work include Video Surveillance and Tracking Methods (17 papers), Human Pose and Action Recognition (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lorenzo Seidenari is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Human Pose and Action Recognition (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Lorenzo Seidenari collaborates with scholars based in Italy, Switzerland and United States. Lorenzo Seidenari's co-authors include Alberto Del Bimbo, Marco Bertini, Leonardo Galteri, Lamberto Ballan, Pietro Pala, Federico Becattini, Tiberio Uricchio, Stefano Berretti, Giuseppe Serra and Andrew D. Bagdanov and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Ecological Applications.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Seidenari i

Fields of papers citing papers by Lorenzo Seidenari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Seidenari

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025