S. Impedovo

26 papers and 450 indexed citations i.

About

S. Impedovo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Transplantation. According to data from OpenAlex, S. Impedovo has authored 26 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Transplantation. Recurrent topics in S. Impedovo’s work include Handwritten Text Recognition Techniques (11 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Organ Donation and Transplantation (5 papers). S. Impedovo is often cited by papers focused on Handwritten Text Recognition Techniques (11 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Organ Donation and Transplantation (5 papers). S. Impedovo collaborates with scholars based in Italy and Albania. S. Impedovo's co-authors include Giuseppe Pirlo, Giovanni Dimauro, A. Salzo, Michele Battaglia, Pasquale Ditonno, Carlo Bettocchi, Giuseppe Grandaliano, Fp Selvaggi, Giuseppe Lucarelli and Marco Spilotros and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Computers and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Co-authorship network of co-authors of S. Impedovo i

Fields of papers citing papers by S. Impedovo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S. Impedovo

Since Specialization
Citations

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