M. Simard
Impact in
- Nuclear and High Energy Physics top 10%
- 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
-
- Particle physics theoretical and experimental studies 27
- Quantum Chromodynamics and Particle Interactions 26
- High-Energy Particle Collisions Research 11
- Neutrino Physics Research 7
- Dark Matter and Cosmic Phenomena 3
- Particle Detector Development and Performance 1
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- Medical Imaging Techniques and Applications 2
- Journals
- Physical Review Letters (7 papers)Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields (20 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
M. Simard
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 29
- Nuclear and High Energy Physics 1.0k
- Artificial Intelligence 54
- Atomic and Molecular Physics, and Optics 41
- Astronomy and Astrophysics 21
- Acoustics and Ultrasonics 1
Countries citing papers authored by M. Simard
This map shows the geographic impact of M. Simard'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 M. Simard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Simard more than expected).
Fields of papers citing papers by M. Simard
This network shows the impact of papers produced by M. Simard. 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 M. Simard. The network helps show where M. Simard 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 | 2007 | 112 | |
| 2 | 2006 | 102 | |
| 3 | 2007 | 97 | |
| 4 | 2013 | 88 | |
| 5 | 2009 | 68 | |
| 6 | 2006 | 63 | |
| 7 | 2013 | 60 | |
| 8 | 2006 | 59 | |
| 9 | 2008 | 57 | |
| 10 | 2008 | 47 | |
| 11 | 2009 | 47 | |
| 12 | 2010 | 36 | |
| 13 | 2007 | 31 | |
| 14 | 2007 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2009 | 22 | |
| 17 | 2007 | 18 | |
| 18 | 2006 | 18 | |
| 19 | 2008 | 13 | |
| 20 | 2013 | 12 |
About M. Simard
M. Simard is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Insect Science, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (27 papers), Quantum Chromodynamics and Particle Interactions (26 papers), High-Energy Particle Collisions Research (11 papers), Neutrino Physics Research (7 papers), Dark Matter and Cosmic Phenomena (3 papers), Medical Imaging Techniques and Applications (2 papers), Particle Detector Development and Performance (1 paper) and Particle Accelerators and Free-Electron Lasers (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.0k citations), Artificial Intelligence (54 citations), Atomic and Molecular Physics, and Optics (41 citations), Astronomy and Astrophysics (21 citations) and Acoustics and Ultrasonics (1 citation). M. Simard has collaborated with scholars based in United States, France and Germany. Their work appears in journals such as Physical Review Letters and Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.
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.