M. Dubovsky
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 42
- High-Energy Particle Collisions Research 37
- Particle Detector Development and Performance 22
- Quantum Chromodynamics and Particle Interactions 13
- Dark Matter and Cosmic Phenomena 7
-
- Cosmology and Gravitation Theories 5
M. Dubovsky
42 papers receiving 1.3k citations
M. Dubovsky's Hit Papers
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 1.5k
- Astronomy and Astrophysics 315
- Artificial Intelligence 108
- Computer Networks and Communications 39
- Statistical and Nonlinear Physics 15
Countries citing papers authored by M. Dubovsky
This map shows the geographic impact of M. Dubovsky'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 M. Dubovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dubovsky more than expected).
Fields of papers citing papers by M. Dubovsky
This network shows the impact of papers produced by M. Dubovsky. 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 M. Dubovsky. The network helps show where M. Dubovsky may publish in the future.
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All Works
Showing the 20 most-cited of 43 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 | 2021 | 108 | |
| 3 | 2019 | 81 | |
| 4 | 2022 | 61 | |
| 5 | 2018 | 57 | |
| 6 | 2020 | 57 | |
| 7 | 2019 | 55 | |
| 8 | 2018 | 53 | |
| 9 | 2018 | 52 | |
| 10 | 2019 | 50 | |
| 11 | 2019 | 48 | |
| 12 | 2019 | 46 | |
| 13 | 2019 | 43 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 40 | |
| 16 | 2023 | 39 | |
| 17 | 2019 | 36 | |
| 18 | 2018 | 35 | |
| 19 | 2022 | 35 | |
| 20 | 2018 | 34 |
About M. Dubovsky
M. Dubovsky is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Computer Networks and Communications, Electrical and Electronic Engineering and Insect Science, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (42 papers), High-Energy Particle Collisions Research (37 papers), Particle Detector Development and Performance (22 papers), Quantum Chromodynamics and Particle Interactions (13 papers), Dark Matter and Cosmic Phenomena (7 papers), Cosmology and Gravitation Theories (5 papers), Distributed and Parallel Computing Systems (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Astronomy and Astrophysics (315 citations), Artificial Intelligence (108 citations), Computer Networks and Communications (39 citations) and Statistical and Nonlinear Physics (15 citations). M. Dubovsky has collaborated with scholars based in France, Australia and Poland. Their work appears in journals such as Physical review. D, Journal of High Energy Physics, Physics Letters B, Physical Review Letters and Physical Review C.
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.