Emanuele Del Sozzo
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Co-authors
- Marco D. SantambrogioDonatella SciutoLorenzo Di TucciRiyadh BaghdadiSaman AmarasingheAntonio MieleJessica M. RayPatricia Suriana
- Topics
- Parallel Computing and Optimization Techniques (21 papers)Embedded Systems Design Techniques (17 papers)Advanced Neural Network Applications (8 papers)
- Journals
- ACM Computing SurveysIEEE Transactions on ComputersIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- ItalyJapanUnited States
In The Last Decade
Emanuele Del Sozzo
41 papers receiving 369 citations
Peers
Comparison fields: 5 of 46
- Hardware and Architecture 202
- Artificial Intelligence 110
- Computer Networks and Communications 104
- Computer Vision and Pattern Recognition 94
- Electrical and Electronic Engineering 80
Countries citing papers authored by Emanuele Del Sozzo
This map shows the geographic impact of Emanuele Del Sozzo'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 Emanuele Del Sozzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Del Sozzo more than expected).
Fields of papers citing papers by Emanuele Del Sozzo
This network shows the impact of papers produced by Emanuele Del Sozzo. 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 Emanuele Del Sozzo. The network helps show where Emanuele Del Sozzo may publish in the future.
Co-authorship network of co-authors of Emanuele Del Sozzo
This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Del Sozzo. A scholar is included among the top collaborators of Emanuele Del Sozzo 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 Emanuele Del Sozzo. Emanuele Del Sozzo 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 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 12 | |
| 12 | 55 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 7 |
About Emanuele Del Sozzo
Emanuele Del Sozzo is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 43 papers that have together received 372 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Embedded Systems Design Techniques (17 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Hardware and Architecture (202 citations), Computational Mathematics (8 citations) and Computer Vision and Pattern Recognition (94 citations). Emanuele Del Sozzo has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Marco D. Santambrogio, Donatella Sciuto, Lorenzo Di Tucci, Riyadh Baghdadi, Saman Amarasinghe, Antonio Miele, Jessica M. Ray, Patricia Suriana, Yunming Zhang and Shoaib Kamil. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.
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.