T.J. Burch
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
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 38
- High-Energy Particle Collisions Research 33
- Quantum Chromodynamics and Particle Interactions 17
- Particle Detector Development and Performance 15
- Dark Matter and Cosmic Phenomena 5
- Neutrino Physics Research 2
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- Cosmology and Gravitation Theories 5
T.J. Burch
38 papers receiving 1.7k citations
T.J. Burch's Hit Papers
Peers
Comparison fields: 5 of 32
- Nuclear and High Energy Physics 2.1k
- Astronomy and Astrophysics 405
- Artificial Intelligence 142
- Statistical and Nonlinear Physics 22
- Computer Networks and Communications 41
Countries citing papers authored by T.J. Burch
This map shows the geographic impact of T.J. Burch'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 T.J. Burch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Burch more than expected).
Fields of papers citing papers by T.J. Burch
This network shows the impact of papers produced by T.J. Burch. 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 T.J. Burch. The network helps show where T.J. Burch may publish in the future.
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All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data Hit paper breakdown → | 2019 | 282 |
| 2 | Search for high-mass dilepton resonances using 139 fb−1 of pp collision data collected at s=13 TeV with the ATLAS detector Hit paper breakdown → | 2019 | 263 |
| 3 | 2018 | 221 | |
| 4 | 2020 | 109 | |
| 5 | 2017 | 87 | |
| 6 | 2019 | 75 | |
| 7 | 2018 | 71 | |
| 8 | 2019 | 70 | |
| 9 | 2017 | 68 | |
| 10 | 2018 | 65 | |
| 11 | 2018 | 58 | |
| 12 | 2019 | 50 | |
| 13 | 2018 | 48 | |
| 14 | 2017 | 47 | |
| 15 | 2019 | 46 | |
| 16 | 2019 | 46 | |
| 17 | 2020 | 43 | |
| 18 | 2018 | 41 | |
| 19 | 2019 | 40 | |
| 20 | 2018 | 40 |
About T.J. Burch
T.J. Burch is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Computer Networks and Communications, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (38 papers), High-Energy Particle Collisions Research (33 papers), Quantum Chromodynamics and Particle Interactions (17 papers), Particle Detector Development and Performance (15 papers), Cosmology and Gravitation Theories (5 papers), Dark Matter and Cosmic Phenomena (5 papers), Neutrino Physics Research (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (2.1k citations), Astronomy and Astrophysics (405 citations), Artificial Intelligence (142 citations), Statistical and Nonlinear Physics (22 citations) and Computer Networks and Communications (41 citations). T.J. Burch has collaborated with scholars based in France, Australia and United States. Their work appears in journals such as Physics Letters B, The European Physical Journal C, Journal of High Energy Physics, Journal of Instrumentation and Nuclear Physics A.
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.