Daniele Zito
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Artificial Intelligence
- Hardware and Architecture
- Computational Theory and Mathematics
- Co-authors
- Antonella Di StefanoRao MikkilineniAlessandro Di StefanoEmiliano TramontanaT. ChiarusiE. Giorgio
- Topics
- Distributed and Parallel Computing Systems (14 papers)Cloud Computing and Resource Management (12 papers)Distributed systems and fault tolerance (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaFuture Generation Computer SystemsInternational Journal of Grid and Utility Computing
- Partner nations
- ItalyUnited States
In The Last Decade
Daniele Zito
17 papers receiving 90 citations
Peers
Comparison fields: 5 of 19
- Computer Networks and Communications 98
- Information Systems 65
- Artificial Intelligence 14
- Hardware and Architecture 11
- Computational Theory and Mathematics 9
Countries citing papers authored by Daniele Zito
This map shows the geographic impact of Daniele Zito'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 Daniele Zito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Zito more than expected).
Fields of papers citing papers by Daniele Zito
This network shows the impact of papers produced by Daniele Zito. 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 Daniele Zito. The network helps show where Daniele Zito may publish in the future.
Co-authorship network of co-authors of Daniele Zito
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Zito. A scholar is included among the top collaborators of Daniele Zito 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 Daniele Zito. Daniele Zito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 0 | |
| 16 | 8 | |
| 17 | 19 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 2 |
About Daniele Zito
Daniele Zito is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 24 papers that have together received 108 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Cloud Computing and Resource Management (12 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Computer Networks and Communications (98 citations), Information Systems (65 citations) and Hardware and Architecture (11 citations). Daniele Zito has collaborated with scholars based in Italy and United States. Frequent co-authors include Antonella Di Stefano, Rao Mikkilineni, Alessandro Di Stefano, Emiliano Tramontana, T. Chiarusi and E. Giorgio. Their work appears in journals such as SHILAP Revista de lepidopterología, Future Generation Computer Systems and International Journal of Grid and Utility 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.