R. McNulty
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
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
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- Computational Physics and Python Applications
Papers in
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- Particle physics theoretical and experimental studies 31
- Quantum Chromodynamics and Particle Interactions 29
- High-Energy Particle Collisions Research 28
- Particle Detector Development and Performance 1
- Black Holes and Theoretical Physics 1
- Neutrino Physics Research 1
- Dark Matter and Cosmic Phenomena 1
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- Medical Imaging Techniques and Applications 1
R. McNulty
31 papers receiving 671 citations
Peers
Comparison fields: 5 of 25
- Nuclear and High Energy Physics 727
- Artificial Intelligence 51
- Astronomy and Astrophysics 23
- Radiation 4
- Numerical Analysis 2
Countries citing papers authored by R. McNulty
This map shows the geographic impact of R. McNulty'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 R. McNulty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. McNulty more than expected).
Fields of papers citing papers by R. McNulty
This network shows the impact of papers produced by R. McNulty. 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 R. McNulty. The network helps show where R. McNulty may publish in the future.
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All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2016 | 65 | |
| 3 | 2015 | 64 | |
| 4 | 2017 | 49 | |
| 5 | 2017 | 48 | |
| 6 | 2013 | 42 | |
| 7 | 2021 | 37 | |
| 8 | 2013 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2013 | 29 | |
| 11 | 2019 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 21 | |
| 14 | 2017 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2019 | 12 |
About R. McNulty
R. McNulty is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 31 papers that have together received 746 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (31 papers), Quantum Chromodynamics and Particle Interactions (29 papers), High-Energy Particle Collisions Research (28 papers), Particle Detector Development and Performance (1 paper), Black Holes and Theoretical Physics (1 paper), Medical Imaging Techniques and Applications (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 (727 citations), Artificial Intelligence (51 citations), Astronomy and Astrophysics (23 citations), Radiation (4 citations) and Numerical Analysis (2 citations). R. McNulty has collaborated with scholars based in Switzerland, France and Brazil. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical Review Letters and Physical review. D.
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.