Dmitry Skachkov

464 citations
21 papers · 379 · h-index 9

Impact in

Papers in

Dmitry Skachkov

19 papers receiving 376 citations

Peers

Dmitry Skachkov
Comparison fields: 5 of 41
  • Catalysis 76
  • Renewable Energy, Sustainability and the Environment 131
  • Electronic, Optical and Magnetic Materials 99
  • Materials Chemistry 240
  • Condensed Matter Physics 43
Replace Markus Appel with:
Markus Appel France
M. Umar Farooq South Korea
Hisayoshi Daicho Japan
P. Chen United States
E. C. Ethridge United States
Wenhao Liu China
Raghani Pushpa United States
Renato B. Pontes Brazil
Mark Hannah United States
Dmitry Skachkov relative to Markus Appel France Markus Appel's profile →
Citations per field
00.5×4.8×
Markus Appel · 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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 201958
3 201641
4 201639
5 201930
6 202128
7 201025
8 201117
9 20058
10 20127
11 20156
12 20146
13 20206
14 20224
15 20042
16 20142
17 20182
18
Native point defects and doping in ZnGeN$_2$
20161
19 20181
20 20260

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 21 papers that have together received 379 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Advanced Photocatalysis Techniques (3 papers), Advanced Chemical Physics Studies (3 papers), Ion-surface interactions and analysis (3 papers), ZnO doping and properties (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Inorganic Chemistry and Materials (3 papers) and 2D Materials and Applications (2 papers). The work is most often cited by research in Catalysis (76 citations), Renewable Energy, Sustainability and the Environment (131 citations), Electronic, Optical and Magnetic Materials (99 citations), Materials Chemistry (240 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, Tom Ziegler, Mykhaylo Krykunov, Atchara Punya Jaroenjittichai, Ling-yi Huang, Quốc Duy Hồ and Péter Deák. Their work appears in journals such as Physical review. B., Physical Review Applied, physica status solidi (a), Journal of Applied Physics and European Journal of Inorganic Chemistry.

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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