T. Alion
Impact in
- Nuclear and High Energy Physics top 10%
- Neutrino Physics Research
- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Radiation top 5%
- Radiation Detection and Scintillator Technologies
Papers in
-
- Neutrino Physics Research 25
- Astrophysics and Cosmic Phenomena 18
- Dark Matter and Cosmic Phenomena 16
- Particle physics theoretical and experimental studies 15
- Particle Detector Development and Performance 3
-
- Radiation Detection and Scintillator Technologies 1
T. Alion
27 papers receiving 1.1k citations
T. Alion's Hit Papers
Peers
Comparison fields: 5 of 44
- Nuclear and High Energy Physics 1.0k
- Radiation 144
- Astronomy and Astrophysics 79
- Atomic and Molecular Physics, and Optics 110
- Statistical and Nonlinear Physics 15
Countries citing papers authored by T. Alion
This map shows the geographic impact of T. Alion'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. Alion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Alion more than expected).
Fields of papers citing papers by T. Alion
This network shows the impact of papers produced by T. Alion. 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. Alion. The network helps show where T. Alion may publish in the future.
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All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Volume I. Introduction to DUNE Hit paper breakdown → | 2020 | 259 |
| 2 | 2019 | 201 | |
| 3 | 2021 | 135 | |
| 4 | 2018 | 111 | |
| 5 | 2020 | 76 | |
| 6 | 2022 | 46 | |
| 7 | The Single-Phase ProtoDUNE Technical Design Report | 2017 | 45 |
| 8 | 2013 | 44 | |
| 9 | 2020 | 28 | |
| 10 | 2020 | 26 | |
| 11 | Deep underground neutrino experiment (DUNE) far detector technical design report | 2020 | 18 |
| 12 | 2020 | 16 | |
| 13 | 2022 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2021 | 12 | |
| 16 | Supernova neutrino detection in NOvA | 2020 | 11 |
| 17 | 2020 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2023 | 7 |
About T. Alion
T. Alion is a scholar working on Nuclear and High Energy Physics, Radiation, Astronomy and Astrophysics, Aerospace Engineering and Atomic and Molecular Physics, and Optics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neutrino Physics Research (25 papers), Astrophysics and Cosmic Phenomena (18 papers), Dark Matter and Cosmic Phenomena (16 papers), Particle physics theoretical and experimental studies (15 papers), Particle Detector Development and Performance (3 papers), Particle accelerators and beam dynamics (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.0k citations), Radiation (144 citations), Astronomy and Astrophysics (79 citations), Atomic and Molecular Physics, and Optics (110 citations) and Statistical and Nonlinear Physics (15 citations). T. Alion has collaborated with scholars based in United States, Russia and United Kingdom. Their work appears in journals such as Physical review. D, Journal of Instrumentation, The European Physical Journal C, Physical Review Letters and Instruments.
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.