S. Kaur
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 177
- High-Energy Particle Collisions Research 158
- Quantum Chromodynamics and Particle Interactions 97
- Particle Detector Development and Performance 35
- Dark Matter and Cosmic Phenomena 30
- Neutrino Physics Research 10
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- Cosmology and Gravitation Theories 22
S. Kaur
178 papers receiving 4.6k citations
S. Kaur's Hit Papers
Peers
Comparison fields: 5 of 57
- Nuclear and High Energy Physics 5.4k
- Astronomy and Astrophysics 919
- Artificial Intelligence 375
- Statistical and Nonlinear Physics 60
- Computer Networks and Communications 102
Countries citing papers authored by S. Kaur
This map shows the geographic impact of S. Kaur'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. Kaur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Kaur more than expected).
Fields of papers citing papers by S. Kaur
This network shows the impact of papers produced by S. Kaur. 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. Kaur. The network helps show where S. Kaur may publish in the future.
Co-authors
The 1 scholars most cited alongside S. Kaur, 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 181 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 | 202 |
| 2 | 2018 | 167 | |
| 3 | 2018 | 131 | |
| 4 | 2020 | 121 | |
| 5 | 2018 | 113 | |
| 6 | 2020 | 109 | |
| 7 | 2020 | 108 | |
| 8 | 2018 | 106 | |
| 9 | 2021 | 104 | |
| 10 | 2018 | 101 | |
| 11 | 2018 | 100 | |
| 12 | 2019 | 90 | |
| 13 | 2019 | 84 | |
| 14 | 2021 | 76 | |
| 15 | 2018 | 76 | |
| 16 | 2019 | 75 | |
| 17 | 2021 | 65 | |
| 18 | 2020 | 65 | |
| 19 | 2019 | 63 | |
| 20 | 2019 | 63 |
About S. Kaur
S. Kaur is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Analytical Chemistry and Applied Mathematics, having authored 181 papers that have together received 5.6k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (177 papers), High-Energy Particle Collisions Research (158 papers), Quantum Chromodynamics and Particle Interactions (97 papers), Particle Detector Development and Performance (35 papers), Dark Matter and Cosmic Phenomena (30 papers), Cosmology and Gravitation Theories (22 papers), Neutrino Physics Research (10 papers) and Computational Physics and Python Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (5.4k citations), Astronomy and Astrophysics (919 citations), Artificial Intelligence (375 citations), Statistical and Nonlinear Physics (60 citations) and Computer Networks and Communications (102 citations). S. Kaur has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Swapnil Pandey. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, 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.