Dmitry Vasilyev
- Renewable Energy, Sustainability and the Environment top 5%
- Process Chemistry and Technology top 1%
- Catalysis top 5%
- Inorganic Chemistry top 5%
- Organic Chemistry top 10%
- Co-authors
- Paul J. DysonJacob WhiteMarcel SchreierMichaël GrätzelRosario ScopellitiGenevieve P. S. LauSergey A. KatsyubaMartin Hulla
- Topics
- CO2 Reduction Techniques and Catalysts (9 papers)Carbon dioxide utilization in catalysis (9 papers)Model Reduction and Neural Networks (7 papers)
- Cited by
- Process Chemistry and TechnologyCatalysisRenewable Energy, Sustainability and the Environment
- Partner nations
- SwitzerlandRussiaUnited States
In The Last Decade
Dmitry Vasilyev
24 papers receiving 884 citations
Peers
Comparison fields: 5 of 46
- Renewable Energy, Sustainability and the Environment 466
- Process Chemistry and Technology 356
- Catalysis 351
- Inorganic Chemistry 200
- Organic Chemistry 154
Countries citing papers authored by Dmitry Vasilyev
This map shows the geographic impact of Dmitry Vasilyev'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 Vasilyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Vasilyev more than expected).
Fields of papers citing papers by Dmitry Vasilyev
This network shows the impact of papers produced by Dmitry Vasilyev. 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 Vasilyev. The network helps show where Dmitry Vasilyev may publish in the future.
Co-authorship network of co-authors of Dmitry Vasilyev
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Vasilyev. A scholar is included among the top collaborators of Dmitry Vasilyev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Vasilyev. Dmitry Vasilyev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 20 | |
| 3 | 88 | |
| 4 | 39 | |
| 5 | 8 | |
| 6 | 65 | |
| 7 | 37 | |
| 8 | 18 | |
| 9 | 26 | |
| 10 | 167 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | 32 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | Perturbation analysis of TBR model reduction in application to trajectory-piecewise linear algorithm for MEMS structures. | 5 |
| 19 | 55 | |
| 20 | 8 |
About Dmitry Vasilyev
Dmitry Vasilyev is a scholar working on Process Chemistry and Technology, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 24 papers that have together received 896 indexed citations. Recurring topics across this work include CO2 Reduction Techniques and Catalysts (9 papers), Carbon dioxide utilization in catalysis (9 papers) and Model Reduction and Neural Networks (7 papers). The work is most often cited by research in Process Chemistry and Technology (356 citations), Catalysis (351 citations) and Renewable Energy, Sustainability and the Environment (466 citations). Dmitry Vasilyev has collaborated with scholars based in Switzerland, Russia and United States. Frequent co-authors include Paul J. Dyson, Jacob White, Marcel Schreier, Michaël Grätzel, Rosario Scopelliti, Genevieve P. S. Lau, Sergey A. Katsyuba, Martin Hulla, Oleg I. Afanasyev and Denis Chusov. Their work appears in journals such as Journal of the American Chemical Society, ACS Catalysis and ACS Applied Materials & Interfaces.
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.