M. Testa
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 128
- High-Energy Particle Collisions Research 110
- Quantum Chromodynamics and Particle Interactions 57
- Particle Detector Development and Performance 49
- Dark Matter and Cosmic Phenomena 17
- Neutrino Physics Research 5
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- Cosmology and Gravitation Theories 11
M. Testa
128 papers receiving 6.2k citations
M. Testa's Hit Papers
Peers
Comparison fields: 5 of 89
- Nuclear and High Energy Physics 7.0k
- Astronomy and Astrophysics 960
- Artificial Intelligence 192
- Radiation 42
- Computer Networks and Communications 112
Countries citing papers authored by M. Testa
This map shows the geographic impact of M. Testa'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. Testa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Testa more than expected).
Fields of papers citing papers by M. Testa
This network shows the impact of papers produced by M. Testa. 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. Testa. The network helps show where M. Testa may publish in the future.
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All Works
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Hit paper breakdown → | 2016 | 430 |
| 2 | 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 |
| 3 | 2012 | 276 | |
| 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 | 2015 | 237 | |
| 6 | 2016 | 216 | |
| 7 | 2013 | 178 | |
| 8 | 2012 | 172 | |
| 9 | 2013 | 164 | |
| 10 | 2015 | 164 | |
| 11 | 2017 | 152 | |
| 12 | 2016 | 150 | |
| 13 | 2011 | 134 | |
| 14 | 2015 | 132 | |
| 15 | 2015 | 124 | |
| 16 | 2016 | 111 | |
| 17 | 2012 | 106 | |
| 18 | 2015 | 104 | |
| 19 | 2015 | 102 | |
| 20 | 2017 | 87 |
About M. Testa
M. Testa is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, having authored 130 papers that have together received 7.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (128 papers), High-Energy Particle Collisions Research (110 papers), Quantum Chromodynamics and Particle Interactions (57 papers), Particle Detector Development and Performance (49 papers), Dark Matter and Cosmic Phenomena (17 papers), Cosmology and Gravitation Theories (11 papers), Neutrino Physics Research (5 papers) and Computational Physics and Python Applications (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (7.0k citations), Astronomy and Astrophysics (960 citations), Artificial Intelligence (192 citations), Radiation (42 citations) and Computer Networks and Communications (112 citations). M. Testa has collaborated with scholars based in France, Switzerland and Germany. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, 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.