Maria Luisa Sapino

69 papers and 530 indexed citations i.

About

Maria Luisa Sapino is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maria Luisa Sapino has authored 69 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 19 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maria Luisa Sapino’s work include Data Management and Algorithms (13 papers), Semantic Web and Ontologies (11 papers) and Complex Network Analysis Techniques (10 papers). Maria Luisa Sapino is often cited by papers focused on Data Management and Algorithms (13 papers), Semantic Web and Ontologies (11 papers) and Complex Network Analysis Techniques (10 papers). Maria Luisa Sapino collaborates with scholars based in Italy, United States and Australia. Maria Luisa Sapino's co-authors include V. S. Subrahmanian, K. Selçuk Candan, Sushil Jajodia, Pierangela Samarati, Ruggero G. Pensa, Antonio Picariello, Xinsheng Li, Claudio Schifanella, Sibel Adalı and Piero A. Bonatti and has published in prestigious journals such as The Journal of Infectious Diseases, IEEE Transactions on Knowledge and Data Engineering and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Maria Luisa Sapino i

Fields of papers citing papers by Maria Luisa Sapino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Sapino. 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 Maria Luisa Sapino. The network helps show where Maria Luisa Sapino may publish in the future.

Countries citing papers authored by Maria Luisa Sapino

Since Specialization
Citations

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