J. Goodell
Impact in
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- 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 5%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 90
- High-Energy Particle Collisions Research 77
- Quantum Chromodynamics and Particle Interactions 53
- Dark Matter and Cosmic Phenomena 18
- Particle Detector Development and Performance 13
- Neutrino Physics Research 3
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- Cosmology and Gravitation Theories 12
J. Goodell
90 papers receiving 3.8k citations
J. Goodell's Hit Papers
Peers
Comparison fields: 5 of 60
- Nuclear and High Energy Physics 4.6k
- Astronomy and Astrophysics 940
- Statistical and Nonlinear Physics 40
- Artificial Intelligence 99
- Atomic and Molecular Physics, and Optics 70
Countries citing papers authored by J. Goodell
This map shows the geographic impact of J. Goodell'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 J. Goodell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Goodell more than expected).
Fields of papers citing papers by J. Goodell
This network shows the impact of papers produced by J. Goodell. 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 J. Goodell. The network helps show where J. Goodell may publish in the future.
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All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Study of high-p T charged particle suppression in PbPb compared to pp collisions at $\sqrt{s_{\mathrm{NN}}}=2.76~\mathrm{TeV}$ Hit paper breakdown → | 2012 | 341 |
| 2 | 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 |
| 3 | 2012 | 176 | |
| 4 | 2012 | 156 | |
| 5 | 2014 | 144 | |
| 6 | 2016 | 140 | |
| 7 | 2014 | 136 | |
| 8 | 2017 | 131 | |
| 9 | 2013 | 128 | |
| 10 | 2015 | 124 | |
| 11 | 2014 | 110 | |
| 12 | 2017 | 96 | |
| 13 | 2013 | 85 | |
| 14 | 2012 | 84 | |
| 15 | 2014 | 83 | |
| 16 | 2014 | 81 | |
| 17 | 2014 | 77 | |
| 18 | 2013 | 76 | |
| 19 | 2016 | 75 | |
| 20 | 2012 | 67 |
About J. Goodell
J. Goodell is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 91 papers that have together received 4.6k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (90 papers), High-Energy Particle Collisions Research (77 papers), Quantum Chromodynamics and Particle Interactions (53 papers), Dark Matter and Cosmic Phenomena (18 papers), Particle Detector Development and Performance (13 papers), Cosmology and Gravitation Theories (12 papers), Computational Physics and Python Applications (3 papers) and Neutrino Physics Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (4.6k citations), Astronomy and Astrophysics (940 citations), Statistical and Nonlinear Physics (40 citations), Artificial Intelligence (99 citations) and Atomic and Molecular Physics, and Optics (70 citations). J. Goodell has collaborated with scholars based in Austria, Germany and Italy. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, Physical Review Letters, 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.