S. Polacek
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
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- Scientific Computing and Data Management
Papers in
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- Particle physics theoretical and experimental studies 215
- Particle Detector Development and Performance 16
- High-Energy Particle Collisions Research 14
- Quantum Chromodynamics and Particle Interactions 6
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- Scientific Computing and Data Management 1
S. Polacek
181 papers receiving 1.6k citations
S. Polacek's Hit Papers
Peers
Comparison fields: 5 of 31
- Nuclear and High Energy Physics 1.9k
- Information Systems and Management 12
- Astronomy and Astrophysics 19
- Artificial Intelligence 28
- Statistical and Nonlinear Physics 7
Countries citing papers authored by S. Polacek
This map shows the geographic impact of S. Polacek'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. Polacek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Polacek more than expected).
Fields of papers citing papers by S. Polacek
This network shows the impact of papers produced by S. Polacek. 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. Polacek. The network helps show where S. Polacek may publish in the future.
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All Works
Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Hit paper breakdown → | 2022 | 271 |
| 2 | Luminosity determination in pp collisions at $$\sqrt{s}=13$$ TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2023 | 105 |
| 3 | 2023 | 86 | |
| 4 | 2023 | 80 | |
| 5 | 2022 | 63 | |
| 6 | 2023 | 48 | |
| 7 | Software and computing for Run 3 of the ATLAS experiment at the LHC Hit paper breakdown → | 2025 | 41 |
| 8 | 2023 | 37 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 27 | |
| 11 | 2023 | 26 | |
| 12 | 2023 | 26 | |
| 13 | 2024 | 26 | |
| 14 | 2023 | 24 | |
| 15 | 2024 | 24 | |
| 16 | 2023 | 22 | |
| 17 | 2023 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2023 | 20 |
About S. Polacek
S. Polacek is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Computer Networks and Communications, Information Systems and Nuclear Energy and Engineering, having authored 240 papers that have together received 1.9k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (215 papers), Particle Detector Development and Performance (16 papers), High-Energy Particle Collisions Research (14 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Distributed and Parallel Computing Systems (1 paper), Scientific Computing and Data Management (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.9k citations), Information Systems and Management (12 citations), Astronomy and Astrophysics (19 citations), Artificial Intelligence (28 citations) and Statistical and Nonlinear Physics (7 citations). S. Polacek has collaborated with scholars based in Switzerland, France and United States. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical Review Letters and Physical review. D.
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.