L.M. Mir
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- 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 19
- Particle Detector Development and Performance 9
- Quantum Chromodynamics and Particle Interactions 9
- Black Holes and Theoretical Physics 2
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- Cosmology and Gravitation Theories 4
L.M. Mir
23 papers receiving 929 citations
L.M. Mir's Hit Papers
Peers
Comparison fields: 5 of 30
- Nuclear and High Energy Physics 1.2k
- Astronomy and Astrophysics 180
- Artificial Intelligence 70
- Radiation 12
- Information Systems and Management 9
Countries citing papers authored by L.M. Mir
This map shows the geographic impact of L.M. Mir'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 L.M. Mir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.M. Mir more than expected).
Fields of papers citing papers by L.M. Mir
This network shows the impact of papers produced by L.M. Mir. 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 L.M. Mir. The network helps show where L.M. Mir 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 performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 282 |
| 2 | 2020 | 179 | |
| 3 | 2018 | 169 | |
| 4 | 2018 | 58 | |
| 5 | 2013 | 56 | |
| 6 | 2019 | 50 | |
| 7 | 2013 | 44 | |
| 8 | 2018 | 40 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 35 | |
| 11 | 2011 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2020 | 24 | |
| 15 | 2022 | 21 | |
| 16 | 2018 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2018 | 19 | |
| 19 | 2018 | 19 | |
| 20 | 2012 | 18 |
About L.M. Mir
L.M. Mir is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Computer Networks and Communications, Artificial Intelligence and Insect Science, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (23 papers), High-Energy Particle Collisions Research (19 papers), Particle Detector Development and Performance (9 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Cosmology and Gravitation Theories (4 papers), Black Holes and Theoretical Physics (2 papers), Advanced Data Storage Technologies (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Astronomy and Astrophysics (180 citations), Artificial Intelligence (70 citations), Radiation (12 citations) and Information Systems and Management (9 citations). L.M. Mir has collaborated with scholars based in Australia, France and Switzerland. Their work appears in journals such as Physics Letters B, Physical review. D, Journal of Instrumentation, Journal of High Energy Physics and Nuclear Physics B.
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.