Olena Tkachenko
Impact in
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- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
- Particle Detector Development and Performance
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- Traffic Prediction and Management Techniques
Papers in
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- Dark Matter and Cosmic Phenomena 2
- Astrophysics and Cosmic Phenomena 2
- Particle Detector Development and Performance 1
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- Heavy metals in environment 1
- Co-authors
- M. Unger (2 shared papers)R. Ulrich (1 shared paper)A. Haungs (1 shared paper)J. Wochele (1 shared paper)Eric William Mayotte (1 shared paper)Jose A. Bellido (1 shared paper)V. de Souza (1 shared paper)Ralph Engel (1 shared paper)
- Journals
- SHILAP Revista de lepidopterología (1 paper)Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) (2 papers)Electronic Sumy State University Institutional Repository (Sumy State University) (1 paper)
In The Last Decade
Olena Tkachenko
4 papers receiving 7 citations
Peers
Comparison fields: 5 of 7
- Nuclear and High Energy Physics 5
- Building and Construction 2
- Information Systems and Management 1
- Control and Systems Engineering 2
- Astronomy and Astrophysics 1
Countries citing papers authored by Olena Tkachenko
This map shows the geographic impact of Olena Tkachenko'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 Olena Tkachenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olena Tkachenko more than expected).
Fields of papers citing papers by Olena Tkachenko
This network shows the impact of papers produced by Olena Tkachenko. 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 Olena Tkachenko. The network helps show where Olena Tkachenko may publish in the future.
Co-authors
The 14 scholars most cited alongside Olena Tkachenko, 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 | 2023 | 2 | |
| 2 | 2019 | 2 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2019 | 0 |
About Olena Tkachenko
Olena Tkachenko is a scholar working on Nuclear and High Energy Physics, Pollution, Health, Toxicology and Mutagenesis, Management of Technology and Innovation and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 7 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Diverse Scientific Research in Ukraine (1 paper), Toxic Organic Pollutants Impact (1 paper), Particle Detector Development and Performance (1 paper), Sustainability and Innovation in Business (1 paper), Heavy metals in environment (1 paper) and Legal, Health, Environmental and COVID-19 Challenges (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (5 citations), Building and Construction (2 citations), Information Systems and Management (1 citation), Control and Systems Engineering (2 citations) and Astronomy and Astrophysics (1 citation). Olena Tkachenko has collaborated with scholars based in Germany, Australia and Czechia. Frequent co-authors include M. Unger, R. Ulrich, A. Haungs, J. Wochele, Eric William Mayotte, Jose A. Bellido, V. de Souza, Ralph Engel, Jihyun Kim and Paras Koundal. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021) and Electronic Sumy State University Institutional Repository (Sumy State University).
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.