S. Maddrell-Mander
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Neutrino Physics Research
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Particle Detector Development and Performance
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- Computational Physics and Python Applications
Papers in
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- Particle physics theoretical and experimental studies 22
- High-Energy Particle Collisions Research 20
- Quantum Chromodynamics and Particle Interactions 20
- Neutrino Physics Research 1
- Dark Matter and Cosmic Phenomena 1
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- Markov Chains and Monte Carlo Methods 1
S. Maddrell-Mander
22 papers receiving 491 citations
Peers
Comparison fields: 5 of 24
- Nuclear and High Energy Physics 512
- Artificial Intelligence 41
- Astronomy and Astrophysics 15
- Atomic and Molecular Physics, and Optics 26
- Statistical and Nonlinear Physics 6
Countries citing papers authored by S. Maddrell-Mander
This map shows the geographic impact of S. Maddrell-Mander'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 S. Maddrell-Mander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Maddrell-Mander more than expected).
Fields of papers citing papers by S. Maddrell-Mander
This network shows the impact of papers produced by S. Maddrell-Mander. 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 S. Maddrell-Mander. The network helps show where S. Maddrell-Mander may publish in the future.
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All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2020 | 54 | |
| 3 | 2022 | 49 | |
| 4 | 2020 | 45 | |
| 5 | 2018 | 45 | |
| 6 | 2018 | 37 | |
| 7 | 2018 | 24 | |
| 8 | 2022 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2018 | 9 |
About S. Maddrell-Mander
S. Maddrell-Mander is a scholar working on Nuclear and High Energy Physics, Statistics and Probability, Mathematical Physics, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 22 papers that have together received 532 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (22 papers), High-Energy Particle Collisions Research (20 papers), Quantum Chromodynamics and Particle Interactions (20 papers), Stochastic processes and statistical mechanics (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Neutrino Physics Research (1 paper) and Dark Matter and Cosmic Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (512 citations), Artificial Intelligence (41 citations), Astronomy and Astrophysics (15 citations), Atomic and Molecular Physics, and Optics (26 citations) and Statistical and Nonlinear Physics (6 citations). S. Maddrell-Mander has collaborated with scholars based in Switzerland, France and China. Their work appears in journals such as Physical Review Letters, Journal of High Energy Physics, Physical review. D, The European Physical Journal C and Physics Letters B.
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.