Dmitry Skachkov

About

Dmitry Skachkov is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Dmitry Skachkov has authored 22 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Dmitry Skachkov’s work include Machine Learning in Materials Science (6 papers), Ga2O3 and related materials (4 papers) and ZnO doping and properties (4 papers). Dmitry Skachkov is often cited by papers focused on Machine Learning in Materials Science (6 papers), Ga2O3 and related materials (4 papers) and ZnO doping and properties (4 papers). Dmitry Skachkov collaborates with scholars based in United States, Puerto Rico and France. Dmitry Skachkov's co-authors include Walter R. L. Lambrecht, Chitturi Venkateswara Rao, Yasuyuki Ishikawa, Kathleen Kash, H. J. von Bardeleben, Quốc Duy Hồ, U. Gerstmann, Péter Deák, Ling-yi Huang and Tom Ziegler and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and The Journal of Physical Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Dmitry Skachkov i

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Fields of papers citing papers by Dmitry Skachkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Skachkov. 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 Dmitry Skachkov. The network helps show where Dmitry Skachkov may publish in the future.

Countries citing papers authored by Dmitry Skachkov

Since Specialization

Citations

This map shows the geographic impact of Dmitry Skachkov'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 Dmitry Skachkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Skachkov more than expected).

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.

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