Umberto Scafuri
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Ivanoe De FalcoErnesto TarantinoAntonio Della CioppaDomenico MaistoMarek TudrujGiovanna SanninoGiuseppe De PietroAngelo Marcelli
- Topics
- Diabetes Management and Research (12 papers)Distributed and Parallel Computing Systems (11 papers)Evolutionary Algorithms and Applications (10 papers)
In The Last Decade
Umberto Scafuri
44 papers receiving 404 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 194
- Computer Networks and Communications 84
- Computational Theory and Mathematics 71
- Information Systems 65
- Endocrinology, Diabetes and Metabolism 59
Countries citing papers authored by Umberto Scafuri
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).
Fields of papers citing papers by Umberto Scafuri
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.
Co-authorship network of co-authors of Umberto Scafuri
This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Scafuri. A scholar is included among the top collaborators of Umberto Scafuri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Umberto Scafuri. Umberto Scafuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 21 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 37 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 23 | |
| 19 | 25 | |
| 20 | Virtual Node Communication on WK.-Recursive Networks. | 2 |
About Umberto Scafuri
Umberto Scafuri is a scholar working on Hardware and Architecture, Endocrinology, Diabetes and Metabolism and Computer Networks and Communications, having authored 45 papers that have together received 421 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Distributed and Parallel Computing Systems (11 papers) and Evolutionary Algorithms and Applications (10 papers). The work is most often cited by research in Artificial Intelligence (194 citations), Health Information Management (26 citations) and Computational Theory and Mathematics (71 citations). Umberto Scafuri has collaborated with scholars based in Italy, Czechia and France. Frequent co-authors include Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Domenico Maisto, Marek Tudruj, Giovanna Sannino, Giuseppe De Pietro, Angelo Marcelli, Giuseppe A. Trunfio and Francesco Gregoretti. Their work appears in journals such as Sensors, Information Sciences and Applied Soft Computing.
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.