Natalia Yu. Babaeva
- Electrical and Electronic Engineering top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Materials Chemistry top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Mechanics of Materials top 5%
- Co-authors
- Mark J. KushnerG V NaĭdisД. В. ТерешонокJ. W. ShonО.V. ManuilenkoВ. Ф. ТарасенкоJ. K. LeeTao Shao
- Topics
- Plasma Applications and Diagnostics (81 papers)Plasma Diagnostics and Applications (55 papers)Electrohydrodynamics and Fluid Dynamics (52 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingElectrical and Electronic EngineeringSurfaces, Coatings and Films
- Partner nations
- RussiaUnited StatesSouth Korea
In The Last Decade
Natalia Yu. Babaeva
100 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 78
- Electrical and Electronic Engineering 2.5k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Materials Chemistry 401
- Atomic and Molecular Physics, and Optics 298
- Mechanics of Materials 283
Countries citing papers authored by Natalia Yu. Babaeva
This map shows the geographic impact of Natalia Yu. Babaeva'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 Natalia Yu. Babaeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Yu. Babaeva more than expected).
Fields of papers citing papers by Natalia Yu. Babaeva
This network shows the impact of papers produced by Natalia Yu. Babaeva. 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 Natalia Yu. Babaeva. The network helps show where Natalia Yu. Babaeva may publish in the future.
Co-authorship network of co-authors of Natalia Yu. Babaeva
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Yu. Babaeva. A scholar is included among the top collaborators of Natalia Yu. Babaeva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalia Yu. Babaeva. Natalia Yu. Babaeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 22 | |
| 19 | 20 | |
| 20 | 38 |
About Natalia Yu. Babaeva
Natalia Yu. Babaeva is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 104 papers that have together received 2.9k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (81 papers), Plasma Diagnostics and Applications (55 papers) and Electrohydrodynamics and Fluid Dynamics (52 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Electrical and Electronic Engineering (2.5k citations) and Surfaces, Coatings and Films (115 citations). Natalia Yu. Babaeva has collaborated with scholars based in Russia, United States and South Korea. Frequent co-authors include Mark J. Kushner, G V Naĭdis, Д. В. Терешонок, J. W. Shon, О.V. Manuilenko, В. Ф. Тарасенко, J. K. Lee, Tao Shao, Wei Tian and Cheng Zhang. Their work appears in journals such as Journal of Applied Physics, Trends in biotechnology and Journal of Physics D Applied Physics.
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.