D. Pohl
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 167
- High-Energy Particle Collisions Research 144
- Quantum Chromodynamics and Particle Interactions 73
- Particle Detector Development and Performance 66
- Dark Matter and Cosmic Phenomena 22
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- Cosmology and Gravitation Theories 20
D. Pohl
167 papers receiving 9.7k citations
D. Pohl's Hit Papers
Peers
Comparison fields: 5 of 96
- Nuclear and High Energy Physics 10.9k
- Astronomy and Astrophysics 2.1k
- Artificial Intelligence 398
- Computer Networks and Communications 228
- Radiation 57
Countries citing papers authored by D. Pohl
This map shows the geographic impact of D. Pohl'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 D. Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Pohl more than expected).
Fields of papers citing papers by D. Pohl
This network shows the impact of papers produced by D. Pohl. 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 D. Pohl. The network helps show where D. Pohl may publish in the future.
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All Works
Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Performance of the ATLAS trigger system in 2015 Hit paper breakdown → | 2017 | 528 |
| 2 | Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 Hit paper breakdown → | 2017 | 352 |
| 3 | Performance of pile-up mitigation techniques for jets in $$pp$$ p p collisions at $$\sqrt{s}=8$$ s = 8 TeV using the ATLAS detector Hit paper breakdown → | 2016 | 348 |
| 4 | Luminosity determination in pp collisions at $$\sqrt{s}$$ s = 8 TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2016 | 275 |
| 5 | 2014 | 252 | |
| 6 | 2015 | 250 | |
| 7 | 2014 | 237 | |
| 8 | 2016 | 225 | |
| 9 | 2016 | 216 | |
| 10 | 2018 | 179 | |
| 11 | 2015 | 163 | |
| 12 | 2014 | 157 | |
| 13 | 2014 | 148 | |
| 14 | 2020 | 146 | |
| 15 | 2017 | 143 | |
| 16 | 2017 | 143 | |
| 17 | 2015 | 137 | |
| 18 | 2014 | 135 | |
| 19 | 2014 | 134 | |
| 20 | 2013 | 132 |
About D. Pohl
D. Pohl is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Computer Networks and Communications, Artificial Intelligence and Insect Science, having authored 167 papers that have together received 11.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (167 papers), High-Energy Particle Collisions Research (144 papers), Quantum Chromodynamics and Particle Interactions (73 papers), Particle Detector Development and Performance (66 papers), Dark Matter and Cosmic Phenomena (22 papers), Cosmology and Gravitation Theories (20 papers), Computational Physics and Python Applications (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (10.9k citations), Astronomy and Astrophysics (2.1k citations), Artificial Intelligence (398 citations), Computer Networks and Communications (228 citations) and Radiation (57 citations). D. Pohl has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as The European Physical Journal C, Journal of High Energy Physics, Physics Letters B, Physical Review Letters and Physical review. D.
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.