T. Ekelof
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 119
- High-Energy Particle Collisions Research 100
- Particle Detector Development and Performance 52
- Quantum Chromodynamics and Particle Interactions 46
- Dark Matter and Cosmic Phenomena 18
- Neutrino Physics Research 6
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- Cosmology and Gravitation Theories 9
T. Ekelof
119 papers receiving 5.8k citations
T. Ekelof's Hit Papers
Peers
Comparison fields: 5 of 98
- Nuclear and High Energy Physics 6.3k
- Astronomy and Astrophysics 1.1k
- Radiation 90
- Artificial Intelligence 299
- Computer Networks and Communications 114
Countries citing papers authored by T. Ekelof
This map shows the geographic impact of T. Ekelof'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 T. Ekelof with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ekelof more than expected).
Fields of papers citing papers by T. Ekelof
This network shows the impact of papers produced by T. Ekelof. 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 T. Ekelof. The network helps show where T. Ekelof may publish in the future.
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All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FCC-ee: The Lepton Collider Hit paper breakdown → | 2019 | 617 |
| 2 | FCC Physics Opportunities Hit paper breakdown → | 2019 | 451 |
| 3 | Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 282 |
| 4 | 2012 | 268 | |
| 5 | 2017 | 222 | |
| 6 | 2014 | 200 | |
| 7 | 2014 | 196 | |
| 8 | 2020 | 148 | |
| 9 | 2013 | 147 | |
| 10 | 2015 | 125 | |
| 11 | 2015 | 124 | |
| 12 | 2016 | 122 | |
| 13 | 2016 | 119 | |
| 14 | 2011 | 115 | |
| 15 | 2012 | 111 | |
| 16 | 2018 | 91 | |
| 17 | 2012 | 85 | |
| 18 | 2016 | 84 | |
| 19 | 2016 | 83 | |
| 20 | 2019 | 81 |
About T. Ekelof
T. Ekelof is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Mechanics of Materials and Hardware and Architecture, having authored 120 papers that have together received 6.5k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (119 papers), High-Energy Particle Collisions Research (100 papers), Particle Detector Development and Performance (52 papers), Quantum Chromodynamics and Particle Interactions (46 papers), Dark Matter and Cosmic Phenomena (18 papers), Cosmology and Gravitation Theories (9 papers), Neutrino Physics Research (6 papers) and Computational Physics and Python Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (6.3k citations), Astronomy and Astrophysics (1.1k citations), Radiation (90 citations), Artificial Intelligence (299 citations) and Computer Networks and Communications (114 citations). T. Ekelof has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physical review. D, Physics Letters B and Physical Review Letters.
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.