S. Castells
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
Papers in
-
- Particle physics theoretical and experimental studies 139
- High-Energy Particle Collisions Research 20
- Quantum Chromodynamics and Particle Interactions 11
- Particle Detector Development and Performance 9
-
- Parallel Computing and Optimization Techniques 1
S. Castells
128 papers receiving 844 citations
S. Castells's Hit Papers
Peers
Comparison fields: 5 of 20
- Nuclear and High Energy Physics 948
- Hardware and Architecture 6
- Statistical and Nonlinear Physics 6
- Artificial Intelligence 16
- Information Systems and Management 3
Countries citing papers authored by S. Castells
This map shows the geographic impact of S. Castells'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. Castells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Castells more than expected).
Fields of papers citing papers by S. Castells
This network shows the impact of papers produced by S. Castells. 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. Castells. The network helps show where S. Castells may publish in the future.
Co-authors
The 1 scholars most cited alongside S. Castells, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | New Structures in the J/ψJ/ψ Mass Spectrum in Proton-Proton Collisions at s=13 TeV Hit paper breakdown → | 2024 | 81 |
| 2 | Development of the CMS detector for the CERN LHC Run 3 Hit paper breakdown → | 2024 | 66 |
| 3 | The CMS Statistical Analysis and Combination Tool: Combine Hit paper breakdown → | 2024 | 60 |
| 4 | 2023 | 55 | |
| 5 | 2024 | 30 | |
| 6 | 2024 | 30 | |
| 7 | 2024 | 27 | |
| 8 | 2024 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 23 | |
| 11 | 2024 | 20 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2024 | 13 | |
| 18 | 2024 | 13 | |
| 19 | 2023 | 11 | |
| 20 | 2024 | 11 |
About S. Castells
S. Castells is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Statistical and Nonlinear Physics, Computer Networks and Communications and Information Systems, having authored 165 papers that have together received 970 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (139 papers), High-Energy Particle Collisions Research (20 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Particle Detector Development and Performance (9 papers), Distributed and Parallel Computing Systems (1 paper), Cloud Computing and Resource Management (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Noncommutative and Quantum Gravity Theories (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (948 citations), Hardware and Architecture (6 citations), Statistical and Nonlinear Physics (6 citations), Artificial Intelligence (16 citations) and Information Systems and Management (3 citations). S. Castells has collaborated with scholars based in Switzerland, Austria and Armenia. Frequent co-authors include Nicolo de Groot. Their work appears in journals such as Journal of High Energy Physics, Physical Review Letters, Physics Letters B, Physical review. D and The European Physical Journal C.
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.