Benjamin Nachman
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
- Astronomy and Astrophysics top 2%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 628
- High-Energy Particle Collisions Research 453
- Particle Detector Development and Performance 305
- Quantum Chromodynamics and Particle Interactions 195
- Dark Matter and Cosmic Phenomena 81
- Neutrino Physics Research 58
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- Computational Physics and Python Applications 49
- Co-authors
- Alex David S (13 shared papers)Luke de Oliveira (6 shared papers)M. Paganini (5 shared papers)Vinicius Mikuni (21 shared papers)Jesse Thaler (10 shared papers)Eric M. Metodiev (5 shared papers)Jack H. Collins (4 shared papers)Kiel Howe (2 shared papers)
- Journals
- The European Physical Journal C (164 papers)Journal of High Energy Physics (153 papers)Physical review. D (118 papers)Physics Letters B (58 papers)Physical Review Letters (53 papers)
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Benjamin Nachman
623 papers receiving 16.2k citations
Benjamin Nachman's Hit Papers
Peers
Comparison fields: 5 of 122
- Nuclear and High Energy Physics 16.7k
- Astronomy and Astrophysics 2.8k
- Artificial Intelligence 2.6k
- Statistical and Nonlinear Physics 314
- Computer Networks and Communications 516
Countries citing papers authored by Benjamin Nachman
This map shows the geographic impact of Benjamin Nachman'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 Benjamin Nachman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Nachman more than expected).
Fields of papers citing papers by Benjamin Nachman
This network shows the impact of papers produced by Benjamin Nachman. 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 Benjamin Nachman. The network helps show where Benjamin Nachman may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Nachman, 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 674 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 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 |
| 2 | Muon reconstruction performance of the ATLAS detector in proton–proton collision data at $$\sqrt{s}$$ s =13 TeV Hit paper breakdown → | 2016 | 430 |
| 3 | 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 |
| 4 | A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Hit paper breakdown → | 2022 | 261 |
| 5 | 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 |
| 6 | Quantum Simulation for High-Energy Physics Hit paper breakdown → | 2023 | 231 |
| 7 | 2018 | 228 | |
| 8 | 2017 | 221 | |
| 9 | 2018 | 211 | |
| 10 | 2019 | 198 | |
| 11 | 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 | 193 |
| 12 | 2018 | 192 | |
| 13 | 2020 | 190 | |
| 14 | 2015 | 182 | |
| 15 | Jet energy scale and resolution measured in proton–proton collisions at $$\sqrt{s}=13$$ TeV with the ATLAS detector Hit paper breakdown → | 2021 | 181 |
| 16 | 2018 | 178 | |
| 17 | 2018 | 168 | |
| 18 | 2017 | 158 | |
| 19 | 2018 | 154 | |
| 20 | 2020 | 148 |
About Benjamin Nachman
Benjamin Nachman is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Astronomy and Astrophysics, Radiation and Computer Networks and Communications, having authored 674 papers that have together received 18.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (628 papers), High-Energy Particle Collisions Research (453 papers), Particle Detector Development and Performance (305 papers), Quantum Chromodynamics and Particle Interactions (195 papers), Dark Matter and Cosmic Phenomena (81 papers), Neutrino Physics Research (58 papers), Computational Physics and Python Applications (49 papers) and Cosmology and Gravitation Theories (34 papers). The work is most often cited by research in Nuclear and High Energy Physics (16.7k citations), Astronomy and Astrophysics (2.8k citations), Artificial Intelligence (2.6k citations), Statistical and Nonlinear Physics (314 citations) and Computer Networks and Communications (516 citations). Benjamin Nachman has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Alex David S, Luke de Oliveira, M. Paganini, Vinicius Mikuni, Jesse Thaler, Eric M. Metodiev, Jack H. Collins, Kiel Howe, Anders Andreassen and C. Bauer. Their work appears in journals such as The European Physical Journal C, Journal of High Energy Physics, Physical review. D, Physics Letters B 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.