A. Liblong
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 2%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 365
- High-Energy Particle Collisions Research 307
- Quantum Chromodynamics and Particle Interactions 163
- Particle Detector Development and Performance 153
- Dark Matter and Cosmic Phenomena 47
- Neutrino Physics Research 18
- Black Holes and Theoretical Physics 5
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- Cosmology and Gravitation Theories 27
- Co-authors
- Sheila Kramer-Tremblay (1 shared paper)Xiongxin Dai (1 shared paper)Chunsheng Li (1 shared paper)Nicholas D. Priest (1 shared paper)
- Journals
- The European Physical Journal C (111 papers)Journal of High Energy Physics (103 papers)Physics Letters B (58 papers)Physical review. D (35 papers)Physical Review Letters (29 papers)
- Partner nations
- FranceAustraliaSwitzerland
In The Last Decade
A. Liblong
369 papers receiving 18.0k citations
A. Liblong's Hit Papers
Peers
Comparison fields: 5 of 176
- Nuclear and High Energy Physics 20.4k
- Astronomy and Astrophysics 3.7k
- Artificial Intelligence 1.0k
- Computer Networks and Communications 405
- Statistical and Nonlinear Physics 173
Countries citing papers authored by A. Liblong
This map shows the geographic impact of A. Liblong'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 A. Liblong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Liblong more than expected).
Fields of papers citing papers by A. Liblong
This network shows the impact of papers produced by A. Liblong. 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 A. Liblong. The network helps show where A. Liblong may publish in the future.
Co-authors
The 4 scholars most cited alongside A. Liblong, 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 370 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combined Measurement of the Higgs Boson Mass in p p Collisions at s = 7 and 8 TeV with the ATLAS and CMS Experiments Hit paper breakdown → | 2015 | 890 |
| 2 | Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at s = 7 $$ \sqrt{s}=7 $$ and 8 TeV Hit paper breakdown → | 2016 | 808 |
| 3 | Performance of the ATLAS trigger system in 2015 Hit paper breakdown → | 2017 | 528 |
| 4 | Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Hit paper breakdown → | 2016 | 430 |
| 5 | Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 Hit paper breakdown → | 2017 | 352 |
| 6 | 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 |
| 7 | 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 |
| 8 | Study of the material of the ATLAS inner detector for Run 2 of the LHC Hit paper breakdown → | 2017 | 331 |
| 9 | Luminosity determination in pp collisions at $$\sqrt{s}$$ s = 8 TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2016 | 275 |
| 10 | 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 |
| 11 | 2016 | 225 | |
| 12 | 2017 | 222 | |
| 13 | 2016 | 216 | |
| 14 | 2018 | 211 | |
| 15 | 2018 | 202 | |
| 16 | 2018 | 192 | |
| 17 | 2016 | 186 | |
| 18 | 2020 | 186 | |
| 19 | 2015 | 182 | |
| 20 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 181 |
About A. Liblong
A. Liblong is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Computer Networks and Communications and Radiological and Ultrasound Technology, having authored 370 papers that have together received 21.3k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (365 papers), High-Energy Particle Collisions Research (307 papers), Quantum Chromodynamics and Particle Interactions (163 papers), Particle Detector Development and Performance (153 papers), Dark Matter and Cosmic Phenomena (47 papers), Cosmology and Gravitation Theories (27 papers), Neutrino Physics Research (18 papers) and Black Holes and Theoretical Physics (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (20.4k citations), Astronomy and Astrophysics (3.7k citations), Artificial Intelligence (1.0k citations), Computer Networks and Communications (405 citations) and Statistical and Nonlinear Physics (173 citations). A. Liblong has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include Sheila Kramer-Tremblay, Xiongxin Dai, Chunsheng Li and Nicholas D. Priest. 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.