D. Berzano
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Software System Performance and Reliability
- IoT and Edge/Fog Computing
- Peer-to-Peer Network Technologies
Papers in
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- Distributed and Parallel Computing Systems 14
- Advanced Data Storage Technologies 11
- Peer-to-Peer Network Technologies 1
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- Scientific Computing and Data Management 9
- Co-authors
- S. Lusso (8 shared papers)S. Bagnasco (8 shared papers)S. Vallero (6 shared papers)M. Masera (5 shared papers)Andrea Guarise (2 shared papers)R. Brunetti (3 shared papers)Jakob Blomer (2 shared papers)T. Breitner (1 shared paper)
- Journals
- Journal of Physics Conference Series (13 papers)SHILAP Revista de lepidopterología (1 paper)CERN Bulletin (1 paper)
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
D. Berzano
13 papers receiving 55 citations
Peers
Comparison fields: 5 of 26
- Information Systems and Management 14
- Computer Networks and Communications 45
- Information Systems 29
- Nuclear and High Energy Physics 8
- Signal Processing 5
Countries citing papers authored by D. Berzano
This map shows the geographic impact of D. Berzano'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 D. Berzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Berzano more than expected).
Fields of papers citing papers by D. Berzano
This network shows the impact of papers produced by D. Berzano. 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 D. Berzano. The network helps show where D. Berzano may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Berzano, 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 | 2015 | 23 | |
| 2 | 2015 | 9 | |
| 3 | 2015 | 6 | |
| 4 | 2014 | 3 | |
| 5 | 2012 | 3 | |
| 6 | 2015 | 3 | |
| 7 | 2015 | 3 | |
| 8 | 2017 | 2 | |
| 9 | 2015 | 2 | |
| 10 | 2010 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2015 | 1 | |
| 14 | 2017 | 0 | |
| 15 | A ground-up approach to High Throughput Cloud Computing in High-Energy Physics | 2016 | 0 |
About D. Berzano
D. Berzano is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Nuclear and High Energy Physics and Infectious Diseases, having authored 15 papers that have together received 58 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Advanced Data Storage Technologies (11 papers), Scientific Computing and Data Management (9 papers), Cloud Computing and Resource Management (6 papers), Particle Detector Development and Performance (2 papers), Particle physics theoretical and experimental studies (2 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Information Systems and Management (14 citations), Computer Networks and Communications (45 citations), Information Systems (29 citations), Nuclear and High Energy Physics (8 citations) and Signal Processing (5 citations). D. Berzano has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include S. Lusso, S. Bagnasco, S. Vallero, M. Masera, Andrea Guarise, R. Brunetti, Jakob Blomer, T. Breitner, D. Røhr and Ioannis Charalampidis. Their work appears in journals such as Journal of Physics Conference Series, SHILAP Revista de lepidopterología and CERN Bulletin.
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.