K. Tackmann
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 81
- High-Energy Particle Collisions Research 66
- Quantum Chromodynamics and Particle Interactions 36
- Particle Detector Development and Performance 31
- Dark Matter and Cosmic Phenomena 13
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- Cosmology and Gravitation Theories 8
K. Tackmann
81 papers receiving 5.2k citations
K. Tackmann's Hit Papers
Peers
Comparison fields: 5 of 86
- Nuclear and High Energy Physics 6.0k
- Astronomy and Astrophysics 985
- Artificial Intelligence 209
- Computer Networks and Communications 93
- Radiation 28
Countries citing papers authored by K. Tackmann
This map shows the geographic impact of K. Tackmann'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 K. Tackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Tackmann more than expected).
Fields of papers citing papers by K. Tackmann
This network shows the impact of papers produced by K. Tackmann. 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 K. Tackmann. The network helps show where K. Tackmann may publish in the future.
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All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The ATLAS Simulation Infrastructure Hit paper breakdown → | 2010 | 1231 |
| 2 | Performance of the ATLAS trigger system in 2015 Hit paper breakdown → | 2017 | 528 |
| 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 | 2013 | 169 | |
| 5 | 2018 | 169 | |
| 6 | 2016 | 150 | |
| 7 | 2017 | 143 | |
| 8 | 2015 | 132 | |
| 9 | 2011 | 128 | |
| 10 | 2015 | 125 | |
| 11 | 2016 | 111 | |
| 12 | 2014 | 111 | |
| 13 | 2020 | 109 | |
| 14 | 2012 | 107 | |
| 15 | 2012 | 107 | |
| 16 | 2012 | 106 | |
| 17 | 2018 | 102 | |
| 18 | 2014 | 86 | |
| 19 | 2015 | 77 | |
| 20 | 2016 | 73 |
About K. Tackmann
K. Tackmann is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 81 papers that have together received 6.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (81 papers), High-Energy Particle Collisions Research (66 papers), Quantum Chromodynamics and Particle Interactions (36 papers), Particle Detector Development and Performance (31 papers), Dark Matter and Cosmic Phenomena (13 papers), Cosmology and Gravitation Theories (8 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (6.0k citations), Astronomy and Astrophysics (985 citations), Artificial Intelligence (209 citations), Computer Networks and Communications (93 citations) and Radiation (28 citations). K. Tackmann 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. 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.