Д. С. Королев
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Materials Chemistry
- Cognitive Neuroscience top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Alexey MikhaylovA. I. BelovD. I. TetelbaumО. Н. ГоршковД. А. ПавловД. В. ГусейновИ. Н. АнтоновE.G. Gryaznov
- Topics
- Advanced Memory and Neural Computing (34 papers)Silicon Nanostructures and Photoluminescence (21 papers)Neuroscience and Neural Engineering (16 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
In The Last Decade
Д. С. Королев
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Electrical and Electronic Engineering 744
- Cellular and Molecular Neuroscience 364
- Materials Chemistry 258
- Cognitive Neuroscience 210
- Electronic, Optical and Magnetic Materials 136
Countries citing papers authored by Д. С. Королев
This map shows the geographic impact of Д. С. Королев'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 Д. С. Королев with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Д. С. Королев more than expected).
Fields of papers citing papers by Д. С. Королев
This network shows the impact of papers produced by Д. С. Королев. 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 Д. С. Королев. The network helps show where Д. С. Королев may publish in the future.
Co-authorship network of co-authors of Д. С. Королев
This figure shows the co-authorship network connecting the top 25 collaborators of Д. С. Королев. A scholar is included among the top collaborators of Д. С. Королев 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 Д. С. Королев. Д. С. Королев 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 118 | |
| 10 | 60 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 34 | |
| 20 | 28 |
About Д. С. Королев
Д. С. Королев is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Silicon Nanostructures and Photoluminescence (21 papers) and Neuroscience and Neural Engineering (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (364 citations), Electrical and Electronic Engineering (744 citations) and Cognitive Neuroscience (210 citations). Д. С. Королев has collaborated with scholars based in Russia, India and Greece. Frequent co-authors include Alexey Mikhaylov, A. I. Belov, D. I. Tetelbaum, О. Н. Горшков, Д. А. Павлов, Д. В. Гусейнов, И. Н. Антонов, E.G. Gryaznov, Victor Kazantsev and С. В. Тихов. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of 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.