Inna Bashta
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 136
- High-Energy Particle Collisions Research 109
- Particle Detector Development and Performance 60
- Quantum Chromodynamics and Particle Interactions 48
- Dark Matter and Cosmic Phenomena 21
- Neutrino Physics Research 5
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- Cosmology and Gravitation Theories 11
Inna Bashta
131 papers receiving 1.8k citations
Inna Bashta's Hit Papers
Peers
Comparison fields: 5 of 42
- Nuclear and High Energy Physics 1.9k
- Astronomy and Astrophysics 331
- Artificial Intelligence 185
- Computer Networks and Communications 99
- Statistical and Nonlinear Physics 24
Countries citing papers authored by Inna Bashta
This map shows the geographic impact of Inna Bashta'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 Inna Bashta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inna Bashta more than expected).
Fields of papers citing papers by Inna Bashta
This network shows the impact of papers produced by Inna Bashta. 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 Inna Bashta. The network helps show where Inna Bashta may publish in the future.
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All Works
Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Hit paper breakdown → | 2022 | 261 |
| 2 | 2023 | 78 | |
| 3 | 2021 | 69 | |
| 4 | 2022 | 66 | |
| 5 | 2023 | 57 | |
| 6 | 2022 | 55 | |
| 7 | 2023 | 39 | |
| 8 | 2023 | 35 | |
| 9 | 2023 | 34 | |
| 10 | 2022 | 31 | |
| 11 | 2023 | 30 | |
| 12 | 2023 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2022 | 28 | |
| 15 | 2023 | 26 | |
| 16 | 2023 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2023 | 25 | |
| 19 | 2023 | 24 | |
| 20 | 2023 | 24 |
About Inna Bashta
Inna Bashta is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Artificial Intelligence, Radiation and Information Systems and Management, having authored 136 papers that have together received 2.0k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (136 papers), High-Energy Particle Collisions Research (109 papers), Particle Detector Development and Performance (60 papers), Quantum Chromodynamics and Particle Interactions (48 papers), Dark Matter and Cosmic Phenomena (21 papers), Cosmology and Gravitation Theories (11 papers), Computational Physics and Python Applications (9 papers) and Neutrino Physics Research (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.9k citations), Astronomy and Astrophysics (331 citations), Artificial Intelligence (185 citations), Computer Networks and Communications (99 citations) and Statistical and Nonlinear Physics (24 citations). Inna Bashta has collaborated with scholars based in Switzerland, France and Australia. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical review. D and Physical Review 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.