Dmitry Skachkov

18 papers receiving 379 citations

Peers

Dmitry Skachkov
Comparison fields: 5 of 41
  • Catalysis 78
  • Renewable Energy, Sustainability and the Environment 132
  • Electronic, Optical and Magnetic Materials 100
  • Materials Chemistry 243
  • Condensed Matter Physics 43
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Lu Tian China
Ali Sebetci Türkiye
Jian Fan China
Hisayoshi Daicho Japan
JingRu Niu Germany
V. Chornii Ukraine
Raghani Pushpa United States
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Alan P. Piquette United States
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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 201398
2 201959
3 201640
4 201639
5 202131
6 201931
7 201026
8 201118
9 20058
10 20127
11 20206
12 20156
13 20146
14 20224
15 20042
16 20182
17
Native point defects and doping in ZnGeN$_2$
20161
18 20181
19 20260
20 20220

About Dmitry Skachkov

Dmitry Skachkov is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Materials Chemistry, Atomic and Molecular Physics, and Optics and Inorganic Chemistry, having authored 21 papers that have together received 385 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Ion-surface interactions and analysis (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Advanced Chemical Physics Studies (3 papers), Advanced Photocatalysis Techniques (3 papers), Inorganic Chemistry and Materials (3 papers), ZnO doping and properties (3 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Catalysis (78 citations), Renewable Energy, Sustainability and the Environment (132 citations), Electronic, Optical and Magnetic Materials (100 citations), Materials Chemistry (243 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, Chitturi Venkateswara Rao, Yasuyuki Ishikawa, Kathleen Kash, Mykhaylo Krykunov, Tom Ziegler, Atchara Punya Jaroenjittichai, Ling-yi Huang, Quốc Duy Hồ and Hans Jürgen von Bardeleben. Their work appears in journals such as Physical review. B., Physical Review Applied, European Journal of Inorganic Chemistry, Frontiers in Genetics and physica status solidi (a).

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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