Markus Maerker
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- 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 354
- High-Energy Particle Collisions Research 281
- Particle Detector Development and Performance 168
- Quantum Chromodynamics and Particle Interactions 123
- Dark Matter and Cosmic Phenomena 54
- Neutrino Physics Research 26
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- Cosmology and Gravitation Theories 25
- Co-authors
- Axel Schweickert (4 shared papers)Martin Blum (4 shared papers)Tim Ott (2 shared papers)Stéphane Noselli (1 shared paper)Janine LeBlanc-Straceski (1 shared paper)Mark B. Lewandoski (1 shared paper)Thomas Thumberger (1 shared paper)Antonio J. Giráldez (1 shared paper)
- Journals
- Journal of High Energy Physics (120 papers)The European Physical Journal C (88 papers)Physical review. D (43 papers)Physics Letters B (39 papers)Physical Review Letters (24 papers)
- Partner nations
- FranceSwitzerlandAustralia
In The Last Decade
Markus Maerker
353 papers receiving 9.0k citations
Markus Maerker's Hit Papers
Peers
Comparison fields: 5 of 96
- Nuclear and High Energy Physics 10.2k
- Astronomy and Astrophysics 1.9k
- Artificial Intelligence 905
- Computer Networks and Communications 307
- Statistical and Nonlinear Physics 108
Countries citing papers authored by Markus Maerker
This map shows the geographic impact of Markus Maerker'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 Markus Maerker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Maerker more than expected).
Fields of papers citing papers by Markus Maerker
This network shows the impact of papers produced by Markus Maerker. 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 Markus Maerker. The network helps show where Markus Maerker may publish in the future.
Co-authors
The 22 scholars most cited alongside Markus Maerker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 359 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combined measurements of Higgs boson production and decay using up to 80 fb − 1 of proton-proton collision data at s = 13 TeV collected with the ATLAS experiment Hit paper breakdown → | 2020 | 338 |
| 2 | Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 282 |
| 3 | Search for high-mass dilepton resonances using 139 fb−1 of pp collision data collected at s=13 TeV with the ATLAS detector Hit paper breakdown → | 2019 | 263 |
| 4 | A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Hit paper breakdown → | 2022 | 261 |
| 5 | ATLAS b-jet identification performance and efficiency measurement with $$t{\bar{t}}$$ events in pp collisions at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2019 | 231 |
| 6 | Search for electroweak production of charginos and sleptons decaying into final states with two leptons and missing transverse momentum in $$\sqrt{s}=13$$ $$\text {TeV}$$ pp collisions using the ATLAS detector Hit paper breakdown → | 2020 | 194 |
| 7 | Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at $$\sqrt{s}=13$$ TeV Hit paper breakdown → | 2021 | 193 |
| 8 | 2018 | 192 | |
| 9 | 2020 | 186 | |
| 10 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 181 |
| 11 | 2020 | 179 | |
| 12 | 2020 | 148 | |
| 13 | 2020 | 146 | |
| 14 | 2019 | 125 | |
| 15 | 2018 | 123 | |
| 16 | 2019 | 123 | |
| 17 | 2020 | 109 | |
| 18 | 2021 | 108 | |
| 19 | 2020 | 101 | |
| 20 | 2019 | 99 |
About Markus Maerker
Markus Maerker is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Radiation and Information Systems and Management, having authored 359 papers that have together received 10.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (354 papers), High-Energy Particle Collisions Research (281 papers), Particle Detector Development and Performance (168 papers), Quantum Chromodynamics and Particle Interactions (123 papers), Dark Matter and Cosmic Phenomena (54 papers), Neutrino Physics Research (26 papers), Cosmology and Gravitation Theories (25 papers) and Computational Physics and Python Applications (14 papers). The work is most often cited by research in Nuclear and High Energy Physics (10.2k citations), Astronomy and Astrophysics (1.9k citations), Artificial Intelligence (905 citations), Computer Networks and Communications (307 citations) and Statistical and Nonlinear Physics (108 citations). Markus Maerker has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Axel Schweickert, Martin Blum, Tim Ott, Stéphane Noselli, Janine LeBlanc-Straceski, Mark B. Lewandoski, Thomas Thumberger, Antonio J. Giráldez, Hiroshi Hamada and Rebecca D. Burdine. 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.