Yu. Yu. Lebedinskiǐ
- Electrical and Electronic Engineering top 5%
- Materials Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electronic, Optical and Magnetic Materials
- Biomedical Engineering
- Co-authors
- A. ZenkevichAndrey M. MarkeevAnastasia ChouprikSergei ZarubinKonstantin EgorovYu. MatveyevMaxim G. KozodaevVitalii Mikheev
- Topics
- Semiconductor materials and devices (49 papers)Ferroelectric and Negative Capacitance Devices (22 papers)Advanced Memory and Neural Computing (19 papers)
In The Last Decade
Yu. Yu. Lebedinskiǐ
104 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 55
- Electrical and Electronic Engineering 1.0k
- Materials Chemistry 757
- Atomic and Molecular Physics, and Optics 197
- Electronic, Optical and Magnetic Materials 165
- Biomedical Engineering 128
Countries citing papers authored by Yu. Yu. Lebedinskiǐ
This map shows the geographic impact of Yu. Yu. Lebedinskiǐ'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 Yu. Yu. Lebedinskiǐ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. Yu. Lebedinskiǐ more than expected).
Fields of papers citing papers by Yu. Yu. Lebedinskiǐ
This network shows the impact of papers produced by Yu. Yu. Lebedinskiǐ. 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 Yu. Yu. Lebedinskiǐ. The network helps show where Yu. Yu. Lebedinskiǐ may publish in the future.
Co-authorship network of co-authors of Yu. Yu. Lebedinskiǐ
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. Yu. Lebedinskiǐ. A scholar is included among the top collaborators of Yu. Yu. Lebedinskiǐ 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 Yu. Yu. Lebedinskiǐ. Yu. Yu. Lebedinskiǐ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 54 | |
| 8 | 91 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 56 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 4 | |
| 17 | 13 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | 25 |
About Yu. Yu. Lebedinskiǐ
Yu. Yu. Lebedinskiǐ is a scholar working on Nuclear Energy and Engineering, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 109 papers that have together received 1.4k indexed citations. Recurring topics across this work include Semiconductor materials and devices (49 papers), Ferroelectric and Negative Capacitance Devices (22 papers) and Advanced Memory and Neural Computing (19 papers). The work is most often cited by research in Electrical and Electronic Engineering (1.0k citations), Nuclear Energy and Engineering (8 citations) and Materials Chemistry (757 citations). Yu. Yu. Lebedinskiǐ has collaborated with scholars based in Russia, Italy and Germany. Frequent co-authors include A. Zenkevich, Andrey M. Markeev, Anastasia Chouprik, Sergei Zarubin, Konstantin Egorov, Yu. Matveyev, Maxim G. Kozodaev, Vitalii Mikheev, M. Fanciulli and Аnna G. Chernikova. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and Applied Physics 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.