D. Barberis
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
- Dark Matter and Cosmic Phenomena
- 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 21
- High-Energy Particle Collisions Research 18
- Quantum Chromodynamics and Particle Interactions 10
- Particle Detector Development and Performance 9
- Dark Matter and Cosmic Phenomena 2
- Astrophysics and Cosmic Phenomena 1
- Neutrino Physics Research 1
-
- Cosmology and Gravitation Theories 1
D. Barberis
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 32
- Nuclear and High Energy Physics 1.4k
- Astronomy and Astrophysics 313
- Artificial Intelligence 75
- Computer Networks and Communications 19
- Statistical and Nonlinear Physics 9
Countries citing papers authored by D. Barberis
This map shows the geographic impact of D. Barberis'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 D. Barberis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Barberis more than expected).
Fields of papers citing papers by D. Barberis
This network shows the impact of papers produced by D. Barberis. 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 D. Barberis. The network helps show where D. Barberis may publish in the future.
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All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 254 | |
| 2 | 2018 | 169 | |
| 3 | 2020 | 146 | |
| 4 | 2018 | 91 | |
| 5 | 2015 | 83 | |
| 6 | 2013 | 78 | |
| 7 | 2018 | 67 | |
| 8 | 2018 | 65 | |
| 9 | 2016 | 55 | |
| 10 | 2018 | 51 | |
| 11 | 2018 | 48 | |
| 12 | 2012 | 45 | |
| 13 | 2012 | 42 | |
| 14 | 2011 | 39 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 37 | |
| 17 | 2022 | 35 | |
| 18 | 2018 | 34 | |
| 19 | 2017 | 25 | |
| 20 | 2012 | 18 |
About D. Barberis
D. Barberis 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 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (21 papers), High-Energy Particle Collisions Research (18 papers), Quantum Chromodynamics and Particle Interactions (10 papers), Particle Detector Development and Performance (9 papers), Dark Matter and Cosmic Phenomena (2 papers), Astrophysics and Cosmic Phenomena (1 paper), Cosmology and Gravitation Theories (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.4k citations), Astronomy and Astrophysics (313 citations), Artificial Intelligence (75 citations), Computer Networks and Communications (19 citations) and Statistical and Nonlinear Physics (9 citations). D. Barberis has collaborated with scholars based in France, Switzerland and Australia. Their work appears in journals such as The European Physical Journal C, Physical review. D, Physics Letters B, Physical Review Letters and Journal of High Energy Physics.
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.