S. Van Putte
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Hardware and Architecture top 10%
Papers in
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- Particle physics theoretical and experimental studies 393
- High-Energy Particle Collisions Research 51
- Particle Detector Development and Performance 31
- Quantum Chromodynamics and Particle Interactions 29
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- Parallel Computing and Optimization Techniques 1
S. Van Putte
408 papers receiving 6.3k citations
S. Van Putte's Hit Papers
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 7.3k
- Hardware and Architecture 35
- Statistical and Nonlinear Physics 35
- Astronomy and Astrophysics 58
- Artificial Intelligence 75
Countries citing papers authored by S. Van Putte
This map shows the geographic impact of S. Van Putte'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. Van Putte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Van Putte more than expected).
Fields of papers citing papers by S. Van Putte
This network shows the impact of papers produced by S. Van Putte. 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. Van Putte. The network helps show where S. Van Putte may publish in the future.
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All Works
Showing the 20 most-cited of 467 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV Hit paper breakdown → | 2020 | 216 |
| 2 | Precision luminosity measurement in proton–proton collisions at $$\sqrt{s} = 13\,\hbox {TeV}$$ in 2015 and 2016 at CMS Hit paper breakdown → | 2021 | 209 |
| 3 | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC Hit paper breakdown → | 2021 | 191 |
| 4 | 2021 | 133 | |
| 5 | 2020 | 124 | |
| 6 | 2020 | 117 | |
| 7 | 2020 | 116 | |
| 8 | 2019 | 110 | |
| 9 | 2021 | 109 | |
| 10 | 2020 | 105 | |
| 11 | New Structures in the J/ψJ/ψ Mass Spectrum in Proton-Proton Collisions at s=13 TeV Hit paper breakdown → | 2024 | 81 |
| 12 | 2021 | 79 | |
| 13 | 2021 | 75 | |
| 14 | 2020 | 74 | |
| 15 | 2020 | 71 | |
| 16 | 2020 | 71 | |
| 17 | 2020 | 70 | |
| 18 | 2020 | 70 | |
| 19 | 2021 | 67 | |
| 20 | 2019 | 66 |
About S. Van Putte
S. Van Putte 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 467 papers that have together received 7.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (393 papers), High-Energy Particle Collisions Research (51 papers), Particle Detector Development and Performance (31 papers), Quantum Chromodynamics and Particle Interactions (29 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 (7.3k citations), Hardware and Architecture (35 citations), Statistical and Nonlinear Physics (35 citations), Astronomy and Astrophysics (58 citations) and Artificial Intelligence (75 citations). S. Van Putte has collaborated with scholars based in Switzerland, Austria and Armenia. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, Physical review. D, Physical Review Letters 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.