Marco La Cascia

45 papers and 879 indexed citations i.

About

Marco La Cascia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Marco La Cascia has authored 45 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Human-Computer Interaction. Recurrent topics in Marco La Cascia’s work include Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (13 papers) and Video Surveillance and Tracking Methods (11 papers). Marco La Cascia is often cited by papers focused on Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (13 papers) and Video Surveillance and Tracking Methods (11 papers). Marco La Cascia collaborates with scholars based in Italy, United States and Spain. Marco La Cascia's co-authors include Liliana Lo Presti, Stan Sclaroff, Vassilis Athitsos, Edoardo Ardizzone, Leonid Taycher, Sebastiano Battiato, Ilenia Tinnirello, Marco Morana, Joaquín Izquierdo and Antonella Certa and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Marco La Cascia i

Fields of papers citing papers by Marco La Cascia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco La Cascia. 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 Marco La Cascia. The network helps show where Marco La Cascia may publish in the future.

Countries citing papers authored by Marco La Cascia

Since Specialization
Citations

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