Pascal Paganini
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
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- Radiation Detection and Scintillator Technologies
Papers in ⓘ
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- Particle Detector Development and Performance 4
- Particle physics theoretical and experimental studies 4
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- Parallel Computing and Optimization Techniques 1
- Co-authors
- I. van Vulpen (1 shared paper)W. Badgett (1 shared paper)Y. Geerebaert (1 shared paper)A. Karar (1 shared paper)G. Della Ricca (1 shared paper)A. Debraine (1 shared paper)Emanuele Di Marco (1 shared paper)F. Cavallari (1 shared paper)
- Journals
- Journal of Physics Conference Series (2 papers)CERN Bulletin (2 papers)
- Partner nations
- FranceSwitzerlandItaly
In The Last Decade
Pascal Paganini
4 papers receiving 16 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 18
- Radiation 5
- Hardware and Architecture 2
- Computer Networks and Communications 2
- Astronomy and Astrophysics 1
Countries citing papers authored by Pascal Paganini
This map shows the geographic impact of Pascal Paganini'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 Pascal Paganini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Paganini more than expected).
Fields of papers citing papers by Pascal Paganini
This network shows the impact of papers produced by Pascal Paganini. 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 Pascal Paganini. The network helps show where Pascal Paganini may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Paganini, 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 | 6 | |
| 2 | 2005 | 5 | |
| 3 | 2003 | 4 | |
| 4 | Pulse amplitude reconstruction in the CMS ECAL using the weights method | 2004 | 3 |
| 5 | 2010 | 0 |
About Pascal Paganini
Pascal Paganini is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 5 papers that have together received 18 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (4 papers), Particle physics theoretical and experimental studies (4 papers), Particle Accelerators and Free-Electron Lasers (3 papers), Distributed and Parallel Computing Systems (1 paper), Superconducting Materials and Applications (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (18 citations), Radiation (5 citations), Hardware and Architecture (2 citations), Computer Networks and Communications (2 citations) and Astronomy and Astrophysics (1 citation). Pascal Paganini has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include I. van Vulpen, W. Badgett, Y. Geerebaert, A. Karar, G. Della Ricca, A. Debraine, Emanuele Di Marco, F. Cavallari, Ricky Egeland and G. Hamel de Monchenault. Their work appears in journals such as Journal of Physics Conference Series 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.