S. Perazzini
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
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- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 3
- Network Time Synchronization Technologies 2
- Interconnection Networks and Systems 1
- Network Traffic and Congestion Control 1
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- Particle Detector Development and Performance 3
- Dark Matter and Cosmic Phenomena 2
- Co-authors
- A. Carbone (3 shared papers)U. Marconi (2 shared papers)V. Vagnoni (5 shared papers)Gianluca Peco (3 shared papers)F. Ferrari (2 shared papers)D. Galli (3 shared papers)Daniele Manuzzi (1 shared paper)T. Boccali (1 shared paper)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)Journal of Instrumentation (1 paper)Instruments (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (1 paper)
- Partner nations
- ItalySwitzerland
In The Last Decade
S. Perazzini
5 papers receiving 9 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 4
- Hardware and Architecture 2
- Computer Networks and Communications 6
- Radiation 2
- Information Systems 2
Countries citing papers authored by S. Perazzini
This map shows the geographic impact of S. Perazzini'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. Perazzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Perazzini more than expected).
Fields of papers citing papers by S. Perazzini
This network shows the impact of papers produced by S. Perazzini. 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. Perazzini. The network helps show where S. Perazzini may publish in the future.
Co-authors
The 24 scholars most cited alongside S. Perazzini, 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 | 2009 | 3 | |
| 2 | 2011 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2010 | 0 |
About S. Perazzini
S. Perazzini is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Radiation, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 6 papers that have together received 10 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Particle Detector Development and Performance (3 papers), Distributed and Parallel Computing Systems (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Network Time Synchronization Technologies (2 papers), Interconnection Networks and Systems (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (4 citations), Hardware and Architecture (2 citations), Computer Networks and Communications (6 citations), Radiation (2 citations) and Information Systems (2 citations). S. Perazzini has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include A. Carbone, U. Marconi, V. Vagnoni, Gianluca Peco, F. Ferrari, D. Galli, Daniele Manuzzi, T. Boccali, G. Maron and D. Bortolotti. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Instrumentation, Instruments, CERN Document Server (European Organization for Nuclear Research) and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.