M. B. Epland
Impact in
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- 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
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- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 260
- High-Energy Particle Collisions Research 31
- Particle Detector Development and Performance 18
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- Spacecraft and Cryogenic Technologies 1
- Particle accelerators and beam dynamics 1
- Co-authors
- B. Sadoulet (1 shared paper)Yuqin Wei (1 shared paper)O. Kamaev (1 shared paper)S. R. Golwala (1 shared paper)Ying Li (1 shared paper)Ji-Na Park (1 shared paper)Aaron E. Kornblith (1 shared paper)M. Daal (1 shared paper)
- Journals
- Journal of High Energy Physics (79 papers)The European Physical Journal C (72 papers)Physics Letters B (54 papers)Physical review. D (48 papers)Physical Review Letters (26 papers)
- Partner nations
- FranceAustraliaSwitzerland
In The Last Decade
M. B. Epland
306 papers receiving 12.6k citations
M. B. Epland's Hit Papers
Peers
Comparison fields: 5 of 86
- Nuclear and High Energy Physics 14.8k
- Astronomy and Astrophysics 130
- Statistical and Nonlinear Physics 66
- Information Systems and Management 39
- Artificial Intelligence 119
Countries citing papers authored by M. B. Epland
This map shows the geographic impact of M. B. Epland'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. B. Epland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. B. Epland more than expected).
Fields of papers citing papers by M. B. Epland
This network shows the impact of papers produced by M. B. Epland. 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. B. Epland. The network helps show where M. B. Epland may publish in the future.
Co-authors
The 18 scholars most cited alongside M. B. Epland, 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 307 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 | 364 |
| 2 | Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 297 |
| 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 | 277 |
| 4 | 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 | 250 |
| 5 | 2018 | 231 | |
| 6 | 2018 | 226 | |
| 7 | Performance of electron and photon triggers in ATLAS during LHC Run 2 Hit paper breakdown → | 2020 | 219 |
| 8 | 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 | 209 |
| 9 | 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 | 207 |
| 10 | 2018 | 203 | |
| 11 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 195 |
| 12 | 2020 | 192 | |
| 13 | 2020 | 190 | |
| 14 | 2018 | 187 | |
| 15 | 2018 | 177 | |
| 16 | 2020 | 156 | |
| 17 | 2020 | 154 | |
| 18 | 2019 | 138 | |
| 19 | 2019 | 132 | |
| 20 | 2018 | 130 |
About M. B. Epland
M. B. Epland is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Health Information Management, Artificial Intelligence and Statistics and Probability, having authored 307 papers that have together received 15.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (260 papers), High-Energy Particle Collisions Research (31 papers), Particle Detector Development and Performance (18 papers), Lipoproteins and Cardiovascular Health (1 paper), Spacecraft and Cryogenic Technologies (1 paper), Explainable Artificial Intelligence (XAI) (1 paper), ECG Monitoring and Analysis (1 paper) and Particle accelerators and beam dynamics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (14.8k citations), Astronomy and Astrophysics (130 citations), Statistical and Nonlinear Physics (66 citations), Information Systems and Management (39 citations) and Artificial Intelligence (119 citations). M. B. Epland has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include B. Sadoulet, Yuqin Wei, O. Kamaev, S. R. Golwala, Ying Li, Ji-Na Park, Aaron E. Kornblith, M. Daal, N. Mirabolfathi and Subrat Das. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical review. D 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.