D. Poyraz
Impact in
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- 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
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 52
- High-Energy Particle Collisions Research 47
- Quantum Chromodynamics and Particle Interactions 33
- Dark Matter and Cosmic Phenomena 9
- Particle Detector Development and Performance 8
- Black Holes and Theoretical Physics 2
- Neutrino Physics Research 1
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- Cosmology and Gravitation Theories 7
D. Poyraz
52 papers receiving 2.2k citations
D. Poyraz's Hit Papers
Peers
Comparison fields: 5 of 48
- Nuclear and High Energy Physics 2.9k
- Astronomy and Astrophysics 444
- Artificial Intelligence 133
- Statistical and Nonlinear Physics 27
- Atomic and Molecular Physics, and Optics 55
Countries citing papers authored by D. Poyraz
This map shows the geographic impact of D. Poyraz'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. Poyraz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Poyraz more than expected).
Fields of papers citing papers by D. Poyraz
This network shows the impact of papers produced by D. Poyraz. 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. Poyraz. The network helps show where D. Poyraz may publish in the future.
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All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV Hit paper breakdown → | 2018 | 460 |
| 2 | Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements Hit paper breakdown → | 2020 | 279 |
| 3 | 2018 | 167 | |
| 4 | 2019 | 145 | |
| 5 | 2018 | 140 | |
| 6 | 2018 | 124 | |
| 7 | 2018 | 90 | |
| 8 | 2016 | 79 | |
| 9 | 2017 | 77 | |
| 10 | 2018 | 75 | |
| 11 | 2019 | 75 | |
| 12 | 2017 | 75 | |
| 13 | 2017 | 72 | |
| 14 | 2015 | 63 | |
| 15 | 2016 | 60 | |
| 16 | 2016 | 58 | |
| 17 | 2015 | 56 | |
| 18 | 2017 | 54 | |
| 19 | 2016 | 49 | |
| 20 | 2017 | 47 |
About D. Poyraz
D. Poyraz 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 53 papers that have together received 3.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (52 papers), High-Energy Particle Collisions Research (47 papers), Quantum Chromodynamics and Particle Interactions (33 papers), Dark Matter and Cosmic Phenomena (9 papers), Particle Detector Development and Performance (8 papers), Cosmology and Gravitation Theories (7 papers), Black Holes and Theoretical Physics (2 papers) and Neutrino Physics Research (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (2.9k citations), Astronomy and Astrophysics (444 citations), Artificial Intelligence (133 citations), Statistical and Nonlinear Physics (27 citations) and Atomic and Molecular Physics, and Optics (55 citations). D. Poyraz has collaborated with scholars based in Austria, Serbia and Russia. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical review. D 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.