M. Derdzinski
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 29
- High-Energy Particle Collisions Research 24
- Quantum Chromodynamics and Particle Interactions 12
- Particle Detector Development and Performance 7
- Dark Matter and Cosmic Phenomena 6
- Neutrino Physics Research 5
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- Cosmology and Gravitation Theories 5
M. Derdzinski
30 papers receiving 1.6k citations
M. Derdzinski's Hit Papers
Peers
Comparison fields: 5 of 44
- Nuclear and High Energy Physics 2.0k
- Astronomy and Astrophysics 417
- Artificial Intelligence 100
- Statistical and Nonlinear Physics 30
- Atomic and Molecular Physics, and Optics 55
Countries citing papers authored by M. Derdzinski
This map shows the geographic impact of M. Derdzinski'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. Derdzinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Derdzinski more than expected).
Fields of papers citing papers by M. Derdzinski
This network shows the impact of papers produced by M. Derdzinski. 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. Derdzinski. The network helps show where M. Derdzinski may publish in the future.
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All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV Hit paper breakdown → | 2018 | 460 |
| 2 | Combined measurements of Higgs boson couplings in proton–proton collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$ Hit paper breakdown → | 2019 | 331 |
| 3 | 2019 | 195 | |
| 4 | 2019 | 145 | |
| 5 | 2018 | 140 | |
| 6 | 2018 | 131 | |
| 7 | 2018 | 124 | |
| 8 | 2019 | 63 | |
| 9 | 2019 | 62 | |
| 10 | 2018 | 52 | |
| 11 | 2019 | 52 | |
| 12 | 2018 | 45 | |
| 13 | 2018 | 44 | |
| 14 | 2019 | 35 | |
| 15 | 2017 | 29 | |
| 16 | 2018 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2019 | 24 | |
| 19 | 2017 | 20 | |
| 20 | 2018 | 16 |
About M. Derdzinski
M. Derdzinski is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Information Systems and Management, Computer Networks and Communications and Insect Science, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (29 papers), High-Energy Particle Collisions Research (24 papers), Quantum Chromodynamics and Particle Interactions (12 papers), Particle Detector Development and Performance (7 papers), Dark Matter and Cosmic Phenomena (6 papers), Neutrino Physics Research (5 papers), Cosmology and Gravitation Theories (5 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (2.0k citations), Astronomy and Astrophysics (417 citations), Artificial Intelligence (100 citations), Statistical and Nonlinear Physics (30 citations) and Atomic and Molecular Physics, and Optics (55 citations). M. Derdzinski has collaborated with scholars based in Austria. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, Physical review. D, The European Physical Journal C and Journal of Instrumentation.
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.