Philip Baringer
Impact in
- Nuclear and High Energy Physics top 0.5%
- 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 1%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 1.3k
- High-Energy Particle Collisions Research 1.1k
- Quantum Chromodynamics and Particle Interactions 778
- Particle Detector Development and Performance 204
- Dark Matter and Cosmic Phenomena 167
- Neutrino Physics Research 75
-
- Cosmology and Gravitation Theories 104
- Co-authors
- Danny Noonan (1 shared paper)Kyoungchul Kong (1 shared paper)Mathew McCaskey (1 shared paper)Seymour Margulies (2 shared papers)Frank Hsieh (2 shared papers)Meng-Yun Chung (2 shared papers)Mark Raymond Adams (2 shared papers)Jianming Qian (2 shared papers)
- Journals
- Physical Review Letters (290 papers)Journal of High Energy Physics (273 papers)Physics Letters B (255 papers)The European Physical Journal C (105 papers)Physical review. D (83 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Philip Baringer
1.3k papers receiving 35.7k citations
Philip Baringer's Hit Papers
Peers
Comparison fields: 5 of 148
- Nuclear and High Energy Physics 40.6k
- Astronomy and Astrophysics 6.1k
- Statistical and Nonlinear Physics 630
- Artificial Intelligence 1.6k
- Radiation 245
Countries citing papers authored by Philip Baringer
This map shows the geographic impact of Philip Baringer'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 Philip Baringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Baringer more than expected).
Fields of papers citing papers by Philip Baringer
This network shows the impact of papers produced by Philip Baringer. 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 Philip Baringer. The network helps show where Philip Baringer may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Baringer, 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 1.3k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Particle-flow reconstruction and global event description with the CMS detector Hit paper breakdown → | 2017 | 699 |
| 2 | Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s}=7 $ and 8 TeV Hit paper breakdown → | 2013 | 493 |
| 3 | Combined results of searches for the standard model Higgs boson in pp collisions at s=7 TeV Hit paper breakdown → | 2012 | 471 |
| 4 | The upgraded DØ detector Hit paper breakdown → | 2006 | 425 |
| 5 | 2004 | 390 | |
| 6 | Transverse-Momentum and Pseudorapidity Distributions of Charged Hadrons in pp Collisions at s=7 TeV Hit paper breakdown → | 2010 | 364 |
| 7 | Combined measurements of Higgs boson couplings in proton–proton collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$ Hit paper breakdown → | 2019 | 331 |
| 8 | Observation of the rare Bs0 →µ+µ− decay from the combined analysis of CMS and LHCb data Hit paper breakdown → | 2015 | 298 |
| 9 | Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements Hit paper breakdown → | 2020 | 279 |
| 10 | Search for dark matter, extra dimensions, and unparticles in monojet events in proton–proton collisions at $$\sqrt{s} = 8$$ s = 8 $$\,{\mathrm{TeV}}\,$$ TeV Hit paper breakdown → | 2015 | 275 |
| 11 | 2013 | 238 | |
| 12 | 2011 | 236 | |
| 13 | 2014 | 220 | |
| 14 | 2010 | 220 | |
| 15 | Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV Hit paper breakdown → | 2020 | 202 |
| 16 | 2019 | 195 | |
| 17 | 2012 | 194 | |
| 18 | Precision luminosity measurement in proton–proton collisions at $$\sqrt{s} = 13\,\hbox {TeV}$$ in 2015 and 2016 at CMS Hit paper breakdown → | 2021 | 193 |
| 19 | 2011 | 190 | |
| 20 | 2014 | 186 |
About Philip Baringer
Philip Baringer is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Radiation and Atomic and Molecular Physics, and Optics, having authored 1.3k papers that have together received 42.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (1.3k papers), High-Energy Particle Collisions Research (1.1k papers), Quantum Chromodynamics and Particle Interactions (778 papers), Particle Detector Development and Performance (204 papers), Dark Matter and Cosmic Phenomena (167 papers), Cosmology and Gravitation Theories (104 papers), Neutrino Physics Research (75 papers) and Computational Physics and Python Applications (49 papers). The work is most often cited by research in Nuclear and High Energy Physics (40.6k citations), Astronomy and Astrophysics (6.1k citations), Statistical and Nonlinear Physics (630 citations), Artificial Intelligence (1.6k citations) and Radiation (245 citations). Philip Baringer has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Danny Noonan, Kyoungchul Kong, Mathew McCaskey, Seymour Margulies, Frank Hsieh, Meng-Yun Chung, Mark Raymond Adams, Jianming Qian, N. Amos and E. Neis. Their work appears in journals such as Physical Review Letters, Journal of High Energy Physics, Physics Letters B, The European Physical Journal C 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.