Yury Dvorkin
- Electrical and Electronic Engineering top 1%
- Control and Systems Engineering top 0.5%
- Automotive Engineering top 2%
- Safety, Risk, Reliability and Quality top 1%
- Energy Engineering and Power Technology top 1%
- Co-authors
- Daniel S. KirschenHrvoje PandžićJip KimYishen WangMiguel A. Ortega‐VazquezRicardo Fernández‐BlancoTing QiuBolun Xu
- Topics
- Electric Power System Optimization (54 papers)Smart Grid Energy Management (37 papers)Optimal Power Flow Distribution (35 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- United StatesCroatiaSpain
In The Last Decade
Yury Dvorkin
82 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Electrical and Electronic Engineering 3.5k
- Control and Systems Engineering 1.7k
- Automotive Engineering 483
- Safety, Risk, Reliability and Quality 340
- Energy Engineering and Power Technology 237
Countries citing papers authored by Yury Dvorkin
This map shows the geographic impact of Yury Dvorkin'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 Yury Dvorkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yury Dvorkin more than expected).
Fields of papers citing papers by Yury Dvorkin
This network shows the impact of papers produced by Yury Dvorkin. 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 Yury Dvorkin. The network helps show where Yury Dvorkin may publish in the future.
Co-authorship network of co-authors of Yury Dvorkin
This figure shows the co-authorship network connecting the top 25 collaborators of Yury Dvorkin. A scholar is included among the top collaborators of Yury Dvorkin 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 Yury Dvorkin. Yury Dvorkin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 37 | |
| 9 | 15 | |
| 10 | 34 | |
| 11 | 25 | |
| 12 | 8 | |
| 13 | 32 | |
| 14 | 47 | |
| 15 | 61 | |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 116 |
About Yury Dvorkin
Yury Dvorkin is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 87 papers that have together received 3.8k indexed citations. Recurring topics across this work include Electric Power System Optimization (54 papers), Smart Grid Energy Management (37 papers) and Optimal Power Flow Distribution (35 papers). The work is most often cited by research in Energy Engineering and Power Technology (237 citations), Control and Systems Engineering (1.7k citations) and Electrical and Electronic Engineering (3.5k citations). Yury Dvorkin has collaborated with scholars based in United States, Croatia and Spain. Frequent co-authors include Daniel S. Kirschen, Hrvoje Pandžić, Jip Kim, Yishen Wang, Miguel A. Ortega‐Vazquez, Ricardo Fernández‐Blanco, Ting Qiu, Bolun Xu, Robert Mieth and Miles Lubin. Their work appears in journals such as Proceedings of the IEEE, Applied Energy and IEEE Transactions on Power Systems.
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.