Dmitry Skachkov

19 papers receiving 366 citations

Peers

Dmitry Skachkov
Comparison fields: 5 of 41
  • Catalysis 72
  • Renewable Energy, Sustainability and the Environment 127
  • Electronic, Optical and Magnetic Materials 98
  • Materials Chemistry 236
  • Condensed Matter Physics 43
Replace Dasari L. V. K. Prasad with:
Dasari L. V. K. Prasad India
Markus Appel France
Hisayoshi Daicho Japan
P. Chen United States
E. C. Ethridge United States
Raghani Pushpa United States
Li‐Na Wu China
Ahmad W. Huran Germany
Mark Hannah United States
Dmitry Skachkov relative to Dasari L. V. K. Prasad India Dasari L. V. K. Prasad's profile →
Citations per field
00.5×4.1×
Dasari L. V. K. Prasad · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Dmitry Skachkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry Skachkov Line = papers co-authored together Dmitry Skachkov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201391
2 201958
3 201641
4 201639
5 201930
6 202127
7 201024
8 201117
9 20058
10 20127
11 20156
12 20206
13 20146
14 20223
15 20042
16 20142
17 20182
18
Native point defects and doping in ZnGeN$_2$
20161
19 20181
20 20220

About Dmitry Skachkov

Dmitry Skachkov is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 20 papers that have together received 371 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Advanced Chemical Physics Studies (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Inorganic Chemistry and Materials (3 papers), ZnO doping and properties (3 papers), Ion-surface interactions and analysis (3 papers), Advanced Photocatalysis Techniques (3 papers) and Ga2O3 and related materials (2 papers). The work is most often cited by research in Catalysis (72 citations), Renewable Energy, Sustainability and the Environment (127 citations), Electronic, Optical and Magnetic Materials (98 citations), Materials Chemistry (236 citations) and Condensed Matter Physics (43 citations). Dmitry Skachkov has collaborated with scholars based in United States, Puerto Rico and France. Frequent co-authors include Walter R. L. Lambrecht, Yasuyuki Ishikawa, Chitturi Venkateswara Rao, Kathleen Kash, Mykhaylo Krykunov, Tom Ziegler, Atchara Punya Jaroenjittichai, Ling-yi Huang, Péter Deák and Shengqiang Zhou. Their work appears in journals such as Physical review. B., Physical Review Applied, Canadian Journal of Chemistry, The Journal of Physical Chemistry C 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.

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