G. Watts
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 29
- High-Energy Particle Collisions Research 24
- Particle Detector Development and Performance 13
- Quantum Chromodynamics and Particle Interactions 9
- Dark Matter and Cosmic Phenomena 5
- Astrophysics and Cosmic Phenomena 2
- Neutrino Physics Research 1
-
- Cosmology and Gravitation Theories 4
G. Watts
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 31
- Nuclear and High Energy Physics 1.2k
- Astronomy and Astrophysics 277
- Information Systems and Management 11
- Artificial Intelligence 49
- History and Philosophy of Science 5
Countries citing papers authored by G. Watts
This map shows the geographic impact of G. Watts'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 G. Watts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Watts more than expected).
Fields of papers citing papers by G. Watts
This network shows the impact of papers produced by G. Watts. 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 G. Watts. The network helps show where G. Watts may publish in the future.
No co-authors to show.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 169 | |
| 2 | 2011 | 112 | |
| 3 | 2012 | 109 | |
| 4 | 2021 | 108 | |
| 5 | 2018 | 77 | |
| 6 | 2018 | 64 | |
| 7 | 2018 | 58 | |
| 8 | 2021 | 52 | |
| 9 | 2017 | 47 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 39 | |
| 12 | 2019 | 36 | |
| 13 | 2014 | 31 | |
| 14 | 2008 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2011 | 26 | |
| 17 | 2018 | 25 | |
| 18 | 2020 | 23 | |
| 19 | 2018 | 20 | |
| 20 | 2018 | 19 |
About G. Watts
G. Watts is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (29 papers), High-Energy Particle Collisions Research (24 papers), Particle Detector Development and Performance (13 papers), Quantum Chromodynamics and Particle Interactions (9 papers), Dark Matter and Cosmic Phenomena (5 papers), Cosmology and Gravitation Theories (4 papers), Astrophysics and Cosmic Phenomena (2 papers) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Astronomy and Astrophysics (277 citations), Information Systems and Management (11 citations), Artificial Intelligence (49 citations) and History and Philosophy of Science (5 citations). G. Watts has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as Physical review. D, Journal of High Energy Physics, Physics Letters B, The European Physical Journal C and Physical Review Letters.
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.