N. Dev
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
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- Particle physics theoretical and experimental studies 41
- High-Energy Particle Collisions Research 40
- Quantum Chromodynamics and Particle Interactions 22
- Particle Detector Development and Performance 8
- Dark Matter and Cosmic Phenomena 6
- Neutrino Physics Research 1
-
- Cosmology and Gravitation Theories 3
N. Dev
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 35
- Nuclear and High Energy Physics 1.3k
- Astronomy and Astrophysics 220
- Artificial Intelligence 69
- Statistical and Nonlinear Physics 22
- Computer Networks and Communications 24
Countries citing papers authored by N. Dev
This map shows the geographic impact of N. Dev'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 N. Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Dev more than expected).
Fields of papers citing papers by N. Dev
This network shows the impact of papers produced by N. Dev. 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 N. Dev. The network helps show where N. Dev may publish in the future.
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All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 219 | |
| 2 | 2018 | 100 | |
| 3 | 2019 | 95 | |
| 4 | 2018 | 75 | |
| 5 | 2017 | 68 | |
| 6 | 2018 | 61 | |
| 7 | 2019 | 58 | |
| 8 | 2020 | 55 | |
| 9 | 2018 | 53 | |
| 10 | 2019 | 52 | |
| 11 | 2017 | 48 | |
| 12 | 2017 | 47 | |
| 13 | 2019 | 41 | |
| 14 | 2019 | 41 | |
| 15 | 2021 | 40 | |
| 16 | 2019 | 35 | |
| 17 | 2017 | 26 | |
| 18 | 2019 | 24 | |
| 19 | 2016 | 23 | |
| 20 | 2021 | 21 |
About N. Dev
N. Dev 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 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (41 papers), High-Energy Particle Collisions Research (40 papers), Quantum Chromodynamics and Particle Interactions (22 papers), Particle Detector Development and Performance (8 papers), Dark Matter and Cosmic Phenomena (6 papers), Cosmology and Gravitation Theories (3 papers), Computational Physics and Python Applications (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.3k citations), Astronomy and Astrophysics (220 citations), Artificial Intelligence (69 citations), Statistical and Nonlinear Physics (22 citations) and Computer Networks and Communications (24 citations). N. Dev has collaborated with scholars based in Austria and Germany. Their work appears in journals such as Journal of High Energy Physics, Physical review. D, Physics Letters B, Physical Review Letters and The European Physical Journal C.
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.