S. Pardi
Impact in
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
- Caching and Content Delivery
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- Human Mobility and Location-Based Analysis
Papers in
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- Distributed and Parallel Computing Systems 12
- Advanced Data Storage Technologies 8
- Distributed systems and fault tolerance 3
- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 2
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- Cloud Computing and Resource Management 3
- Co-authors
- Massimo Ficco (1 shared paper)Francesco Palmieri (1 shared paper)Aniello Castiglione (1 shared paper)G. Russo (11 shared papers)A. Gianoli (1 shared paper)S. King (1 shared paper)Giacinto Donvito (1 shared paper)E. Luppi (1 shared paper)
- Journals
- Journal of Grid Computing (1 paper)Computers & Electrical Engineering (1 paper)International Journal of Grid and Utility Computing (2 papers)Nuclear and Particle Physics Proceedings (1 paper)International Journal of High Performance Computing and Networking (1 paper)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
S. Pardi
11 papers receiving 78 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 43
- Transportation 11
- Media Technology 13
- Information Systems and Management 7
- Health Informatics 1
Countries citing papers authored by S. Pardi
This map shows the geographic impact of S. Pardi'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. Pardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Pardi more than expected).
Fields of papers citing papers by S. Pardi
This network shows the impact of papers produced by S. Pardi. 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. Pardi. The network helps show where S. Pardi may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Pardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 52 | |
| 2 | 2013 | 9 | |
| 3 | 2016 | 8 | |
| 4 | 2011 | 3 | |
| 5 | 2017 | 2 | |
| 6 | 2012 | 1 | |
| 7 | 2009 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2014 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2017 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2011 | 0 |
About S. Pardi
S. Pardi is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 80 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (8 papers), Cloud Computing and Resource Management (3 papers), Distributed systems and fault tolerance (3 papers), Peer-to-Peer Network Technologies (2 papers), Caching and Content Delivery (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Computer Networks and Communications (43 citations), Transportation (11 citations), Media Technology (13 citations), Information Systems and Management (7 citations) and Health Informatics (1 citation). S. Pardi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Massimo Ficco, Francesco Palmieri, Aniello Castiglione, G. Russo, A. Gianoli, S. King, Giacinto Donvito, E. Luppi, F. Bianchi and Rocco Moretti. Their work appears in journals such as Journal of Grid Computing, Computers & Electrical Engineering, International Journal of Grid and Utility Computing, Nuclear and Particle Physics Proceedings and International Journal of High Performance Computing and Networking.
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.