Andriy Zakutayev
- Materials Chemistry top 0.5%
- ZnO doping and properties 79
- Electronic and Structural Properties of Oxides 55
- Copper-based nanomaterials and applications 51
- Quantum Dots Synthesis And Properties 50
- Machine Learning in Materials Science 40
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- Chalcogenide Semiconductor Thin Films 71
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- Ga2O3 and related materials 28
- Inorganic Chemistry top 2%
- Inorganic Chemistry and Materials 26
- Co-authors
- Stephan LanyDavid S. GinleyVladan StevanovićAlex ZungerJohn D. PerkinsJanet TateRyan O’HayreJulien Vidal
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Journals
- Science (1 paper)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Andriy Zakutayev
231 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Materials Chemistry 7.4k
- Electrical and Electronic Engineering 4.9k
- Electronic, Optical and Magnetic Materials 1.4k
- Renewable Energy, Sustainability and the Environment 912
- Inorganic Chemistry 709
Countries citing papers authored by Andriy Zakutayev
This map shows the geographic impact of Andriy Zakutayev'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 Andriy Zakutayev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andriy Zakutayev more than expected).
Fields of papers citing papers by Andriy Zakutayev
This network shows the impact of papers produced by Andriy Zakutayev. 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 Andriy Zakutayev. The network helps show where Andriy Zakutayev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andriy Zakutayev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 65 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 53 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 11 | |
| 16 | 2019 | 39 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 28 | |
| 19 | 2018 | 32 | |
| 20 | 2018 | 25 |
About Andriy Zakutayev
Andriy Zakutayev is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 237 papers that have together received 8.8k indexed citations. Recurring topics across this work include ZnO doping and properties (79 papers), Chalcogenide Semiconductor Thin Films (71 papers), Electronic and Structural Properties of Oxides (55 papers), Copper-based nanomaterials and applications (51 papers), Quantum Dots Synthesis And Properties (50 papers), Machine Learning in Materials Science (40 papers), Ga2O3 and related materials (28 papers) and Inorganic Chemistry and Materials (26 papers). The work is most often cited by research in Materials Chemistry (7.4k citations), Electrical and Electronic Engineering (4.9k citations) and Electronic, Optical and Magnetic Materials (1.4k citations). Andriy Zakutayev has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Stephan Lany, David S. Ginley, Vladan Stevanović, Alex Zunger, John D. Perkins, Janet Tate, Ryan O’Hayre, Julien Vidal, Lauryn L. Baranowski and Eric S. Toberer. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.