J. Malcles
Impact in
- Nuclear and High Energy Physics top 10%
- 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
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- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 23
- High-Energy Particle Collisions Research 21
- Quantum Chromodynamics and Particle Interactions 12
- Particle Detector Development and Performance 4
- Dark Matter and Cosmic Phenomena 4
- Neutrino Physics Research 2
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- Cosmology and Gravitation Theories 3
J. Malcles
23 papers receiving 590 citations
J. Malcles's Hit Papers
Peers
Comparison fields: 5 of 26
- Nuclear and High Energy Physics 724
- Astronomy and Astrophysics 93
- Artificial Intelligence 42
- Radiation 9
- Discrete Mathematics and Combinatorics 3
Countries citing papers authored by J. Malcles
This map shows the geographic impact of J. Malcles'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 J. Malcles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Malcles more than expected).
Fields of papers citing papers by J. Malcles
This network shows the impact of papers produced by J. Malcles. 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 J. Malcles. The network helps show where J. Malcles may publish in the future.
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All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC Hit paper breakdown → | 2021 | 174 |
| 2 | 2017 | 59 | |
| 3 | 2016 | 58 | |
| 4 | 2018 | 51 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 39 | |
| 7 | 2019 | 35 | |
| 8 | 2019 | 33 | |
| 9 | 2018 | 32 | |
| 10 | 2019 | 29 | |
| 11 | 2021 | 26 | |
| 12 | 2022 | 21 | |
| 13 | 2021 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2021 | 12 |
About J. Malcles
J. Malcles is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 23 papers that have together received 748 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (23 papers), High-Energy Particle Collisions Research (21 papers), Quantum Chromodynamics and Particle Interactions (12 papers), Particle Detector Development and Performance (4 papers), Dark Matter and Cosmic Phenomena (4 papers), Cosmology and Gravitation Theories (3 papers) and Neutrino Physics Research (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (724 citations), Astronomy and Astrophysics (93 citations), Artificial Intelligence (42 citations), Radiation (9 citations) and Discrete Mathematics and Combinatorics (3 citations). J. Malcles has collaborated with scholars based in Austria. Their work appears in journals such as Journal of High Energy Physics, Physical review. D, Physics Letters B, The European Physical Journal C 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.