Umberto Scafuri

35 papers and 286 indexed citations i.

About

Umberto Scafuri is a scholar working on Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Computer Networks and Communications. According to data from OpenAlex, Umberto Scafuri has authored 35 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Computer Networks and Communications. Recurrent topics in Umberto Scafuri’s work include Diabetes Management and Research (11 papers), Distributed and Parallel Computing Systems (9 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Umberto Scafuri is often cited by papers focused on Diabetes Management and Research (11 papers), Distributed and Parallel Computing Systems (9 papers) and Pancreatic Islet Dysfunction and Regeneration (7 papers). Umberto Scafuri collaborates with scholars based in Italy, Czechia and Poland. Umberto Scafuri's co-authors include Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Domenico Maisto, Marek Tudruj, Giuseppe De Pietro, Giovanna Sannino, Angelo Marcelli, Giuseppe A. Trunfio and Francesco Gregoretti and has published in prestigious journals such as Sensors, Information Sciences and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Umberto Scafuri i

Fields of papers citing papers by Umberto Scafuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Umberto Scafuri

Since Specialization
Citations

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