Lucia Vadicamo

19 papers and 101 indexed citations i.

About

Lucia Vadicamo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Lucia Vadicamo has authored 19 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Lucia Vadicamo’s work include Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (8 papers) and Data Management and Algorithms (6 papers). Lucia Vadicamo is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (8 papers) and Data Management and Algorithms (6 papers). Lucia Vadicamo collaborates with scholars based in Italy, Austria and Germany. Lucia Vadicamo's co-authors include Giuseppe Amato, Fabrizio Falchi, Fabio Carrara, Claudio Gennaro, Richard Connor, Fabio Valerio Massoli, Fausto Rabitti, Alan Dearle, Björn Þór Jónsson and Ilaria Bartolini and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Lucia Vadicamo i

Fields of papers citing papers by Lucia Vadicamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lucia Vadicamo

Since Specialization
Citations

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