Merrick Lavinsky
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
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- Radiation Detection and Scintillator Technologies
Papers in
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- Particle physics theoretical and experimental studies 10
- High-Energy Particle Collisions Research 9
- Quantum Chromodynamics and Particle Interactions 6
- Particle Detector Development and Performance 1
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- Computational Physics and Python Applications 2
- Anomaly Detection Techniques and Applications 1
Merrick Lavinsky
6 papers receiving 703 citations
Merrick Lavinsky's Hit Papers
Peers
Comparison fields: 5 of 32
- Nuclear and High Energy Physics 636
- Radiation 38
- Astronomy and Astrophysics 27
- Atomic and Molecular Physics, and Optics 31
- Electrical and Electronic Engineering 29
Countries citing papers authored by Merrick Lavinsky
This map shows the geographic impact of Merrick Lavinsky'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 Merrick Lavinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Merrick Lavinsky more than expected).
Fields of papers citing papers by Merrick Lavinsky
This network shows the impact of papers produced by Merrick Lavinsky. 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 Merrick Lavinsky. The network helps show where Merrick Lavinsky may publish in the future.
No co-authors to show.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Science Requirements and Detector Concepts for the Electron-Ion Collider Hit paper breakdown → | 2022 | 685 |
| 2 | 2022 | 25 | |
| 3 | 2026 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2026 | 0 | |
| 8 | 2026 | 0 | |
| 9 | 2026 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2026 | 0 | |
| 12 | 2026 | 0 | |
| 13 | 2026 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2026 | 0 |
About Merrick Lavinsky
Merrick Lavinsky is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Astronomy and Astrophysics, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 714 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), High-Energy Particle Collisions Research (9 papers), Quantum Chromodynamics and Particle Interactions (6 papers), Computational Physics and Python Applications (2 papers), Aerodynamics and Acoustics in Jet Flows (1 paper), Particle Detector Development and Performance (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (636 citations), Radiation (38 citations), Astronomy and Astrophysics (27 citations), Atomic and Molecular Physics, and Optics (31 citations) and Electrical and Electronic Engineering (29 citations). Merrick Lavinsky has collaborated with scholars based in Switzerland, United States and France. Their work appears in journals such as Journal of High Energy Physics, Physical Review Letters, The European Physical Journal C, Physical review. D 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.