D. Ruffinoni
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
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- Scientific Computing and Data Management
Papers in
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- Particle Detector Development and Performance 4
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- Distributed and Parallel Computing Systems 2
- Co-authors
- Loïc Brarda (2 shared papers)G. Decreuse (2 shared papers)Ph. Gavillet (2 shared papers)Benjamin Gaidioz (2 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (1 paper)Journal of Instrumentation (1 paper)IEEE-NPSS Real-Time Conference (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandNetherlandsFrance
In The Last Decade
D. Ruffinoni
3 papers receiving 1.2k citations
D. Ruffinoni's Hit Papers
Peers
Comparison fields: 5 of 28
- Nuclear and High Energy Physics 1.3k
- Information Systems and Management 19
- Computer Networks and Communications 35
- Radiation 12
- Hardware and Architecture 10
Countries citing papers authored by D. Ruffinoni
This map shows the geographic impact of D. Ruffinoni'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. Ruffinoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Ruffinoni more than expected).
Fields of papers citing papers by D. Ruffinoni
This network shows the impact of papers produced by D. Ruffinoni. 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. Ruffinoni. The network helps show where D. Ruffinoni may publish in the future.
Co-authors
The 4 scholars most cited alongside D. Ruffinoni, 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 | The LHCb Detector at the LHC Hit paper breakdown → | 2008 | 1297 |
| 2 | LHCb inner tracker : Technical Design Report | 2001 | 14 |
| 3 | 1992 | 3 | |
| 4 | 2005 | 0 | |
| 5 | Large CPU-farm implementation in a HEP experiment with tight constraints | 2005 | 0 |
About D. Ruffinoni
D. Ruffinoni is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Hardware and Architecture, Information Systems and Aerospace Engineering, having authored 5 papers that have together received 1.3k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Distributed and Parallel Computing Systems (2 papers), Cloud Computing and Resource Management (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.3k citations), Information Systems and Management (19 citations), Computer Networks and Communications (35 citations), Radiation (12 citations) and Hardware and Architecture (10 citations). D. Ruffinoni has collaborated with scholars based in Switzerland, Netherlands and France. Frequent co-authors include Loïc Brarda, G. Decreuse, Ph. Gavillet and Benjamin Gaidioz. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Instrumentation, IEEE-NPSS Real-Time Conference 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.