Mathieu Rubin
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
- Neutrino Physics Research
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- Cosmology and Gravitation Theories
Papers in
-
- High-Energy Particle Collisions Research 4
- Particle physics theoretical and experimental studies 4
- Particle Detector Development and Performance 1
- Quantum Chromodynamics and Particle Interactions 1
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- Cosmology and Gravitation Theories 1
- Co-authors
- Gavin P. Salam (3 shared papers)Jonathan Mark Butterworth (2 shared papers)Adam Davison (2 shared papers)Deog Ki Hong (1 shared paper)Pyungwon Ko (1 shared paper)Sebastian Sapeta (1 shared paper)
- Journals
- Journal of High Energy Physics (2 papers)Physical Review Letters (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Mathieu Rubin
4 papers receiving 935 citations
Mathieu Rubin's Hit Papers
Peers
Comparison fields: 5 of 25
- Nuclear and High Energy Physics 1.0k
- Astronomy and Astrophysics 89
- Artificial Intelligence 61
- Information Systems and Management 8
- Computer Networks and Communications 20
Countries citing papers authored by Mathieu Rubin
This map shows the geographic impact of Mathieu Rubin'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 Mathieu Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Rubin more than expected).
Fields of papers citing papers by Mathieu Rubin
This network shows the impact of papers produced by Mathieu Rubin. 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 Mathieu Rubin. The network helps show where Mathieu Rubin may publish in the future.
Co-authors
The 6 scholars most cited alongside Mathieu Rubin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Jet Substructure as a New Higgs-Search Channel at the Large Hadron Collider Hit paper breakdown → | 2008 | 651 |
| 2 | 2008 | 281 | |
| 3 | 2010 | 92 | |
| 4 | 2010 | 22 |
About Mathieu Rubin
Mathieu Rubin 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 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (4 papers), Particle physics theoretical and experimental studies (4 papers), Particle Detector Development and Performance (1 paper), Computational Physics and Python Applications (1 paper), Cosmology and Gravitation Theories (1 paper) and Quantum Chromodynamics and Particle Interactions (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.0k citations), Astronomy and Astrophysics (89 citations), Artificial Intelligence (61 citations), Information Systems and Management (8 citations) and Computer Networks and Communications (20 citations). Mathieu Rubin has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Gavin P. Salam, Jonathan Mark Butterworth, Adam Davison, Deog Ki Hong, Pyungwon Ko and Sebastian Sapeta. Their work appears in journals such as Journal of High Energy Physics, Physical Review Letters and AIP conference proceedings.
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.