Ilya Kull
Impact in
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- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Gamma-ray bursts and supernovae
- Astrophysics and Star Formation Studies
- Astro and Planetary Science
Papers in
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- Quantum many-body systems 2
- Strong Light-Matter Interactions 1
- Topological Materials and Phenomena 1
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- Stellar, planetary, and galactic studies 2
- Gamma-ray bursts and supernovae 1
- Astrophysical Phenomena and Observations 1
- Astro and Planetary Science 1
- Co-authors
- T. Mazeh (2 shared papers)S. Faigler (2 shared papers)S. Bloemen (2 shared papers)David W. Latham (1 shared paper)F. Kiefer (1 shared paper)Philippe Allard Guérin (1 shared paper)Frank Verstraete (1 shared paper)John H. Debes (1 shared paper)
- Journals
- Physical review. B. (1 paper)The Astrophysical Journal (1 paper)Physical Review X (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)
- Partner nations
- AustriaNetherlandsUnited States
In The Last Decade
Ilya Kull
5 papers receiving 86 citations
Peers
Comparison fields: 5 of 20
- Instrumentation 19
- Astronomy and Astrophysics 63
- Computational Mathematics 1
- Atomic and Molecular Physics, and Optics 26
- Artificial Intelligence 22
Countries citing papers authored by Ilya Kull
This map shows the geographic impact of Ilya Kull'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 Ilya Kull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Kull more than expected).
Fields of papers citing papers by Ilya Kull
This network shows the impact of papers produced by Ilya Kull. 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 Ilya Kull. The network helps show where Ilya Kull may publish in the future.
Co-authors
The 21 scholars most cited alongside Ilya Kull, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 35 | |
| 2 | 2016 | 29 | |
| 3 | 2020 | 16 | |
| 4 | 2024 | 8 | |
| 5 | 2023 | 4 |
About Ilya Kull
Ilya Kull is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Artificial Intelligence and Infectious Diseases, having authored 5 papers that have together received 92 indexed citations. Recurring topics across this work include Quantum many-body systems (2 papers), Stellar, planetary, and galactic studies (2 papers), Gamma-ray bursts and supernovae (1 paper), Strong Light-Matter Interactions (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Topological Materials and Phenomena (1 paper), Astrophysical Phenomena and Observations (1 paper) and Astro and Planetary Science (1 paper). The work is most often cited by research in Instrumentation (19 citations), Astronomy and Astrophysics (63 citations), Computational Mathematics (1 citation), Atomic and Molecular Physics, and Optics (26 citations) and Artificial Intelligence (22 citations). Ilya Kull has collaborated with scholars based in Austria, Netherlands and United States. Frequent co-authors include T. Mazeh, S. Faigler, S. Bloemen, David W. Latham, F. Kiefer, Philippe Allard Guérin, Frank Verstraete, John H. Debes, Na’ama Hallakoun and Dan Maoz. Their work appears in journals such as Physical review. B., The Astrophysical Journal, Physical Review X, Monthly Notices of the Royal Astronomical Society and Journal of Physics A Mathematical and Theoretical.
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.