Gabriele Benelli
Impact in
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- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 2
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- Particle Detector Development and Performance 4
- Particle physics theoretical and experimental studies 2
- Co-authors
- Peter Wegner (1 shared paper)M. Michelotto (1 shared paper)A. De Salvo (1 shared paper)M. J. Bly (1 shared paper)A. Hirstius (1 shared paper)H. Meinhard (1 shared paper)P. Hristov (1 shared paper)K. Honscheid (1 shared paper)
- Journals
- Frontiers in Big Data (1 paper)Journal of Physics Conference Series (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- SwitzerlandUnited StatesCanada
In The Last Decade
Gabriele Benelli
5 papers receiving 24 citations
Peers
Comparison fields: 5 of 10
- Hardware and Architecture 11
- Computer Networks and Communications 22
- Nuclear and High Energy Physics 9
- Information Systems and Management 4
- Information Systems 3
Countries citing papers authored by Gabriele Benelli
This map shows the geographic impact of Gabriele Benelli'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 Gabriele Benelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Benelli more than expected).
Fields of papers citing papers by Gabriele Benelli
This network shows the impact of papers produced by Gabriele Benelli. 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 Gabriele Benelli. The network helps show where Gabriele Benelli may publish in the future.
Co-authors
The 19 scholars most cited alongside Gabriele Benelli, 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 | 2010 | 17 | |
| 2 | 2010 | 3 | |
| 3 | 2008 | 2 | |
| 4 | 2006 | 1 | |
| 5 | 2011 | 1 | |
| 6 | 2025 | 0 |
About Gabriele Benelli
Gabriele Benelli is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Hardware and Architecture, Aerospace Engineering and Biomedical Engineering, having authored 6 papers that have together received 24 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Particle Detector Development and Performance (4 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Data Storage Technologies (2 papers), Particle physics theoretical and experimental studies (2 papers), Superconducting Materials and Applications (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Hardware and Architecture (11 citations), Computer Networks and Communications (22 citations), Nuclear and High Energy Physics (9 citations), Information Systems and Management (4 citations) and Information Systems (3 citations). Gabriele Benelli has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Peter Wegner, M. Michelotto, A. De Salvo, M. J. Bly, A. Hirstius, H. Meinhard, P. Hristov, K. Honscheid, J. E. Davies and R. B. Garg. Their work appears in journals such as Frontiers in Big Data, Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research), University of North Texas Digital Library (University of North Texas) and CERN Document Server (European Organization for Nuclear Research).
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.