Daniil Panasetsky
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Safety, Risk, Reliability and Quality top 10%
- Artificial Intelligence
- Automotive Engineering
- Co-authors
- Denis SidorovNikita TominYong LiYijia CaoFang LiuNikolai VoropaiА. В. ЖуковVictor Kurbatsky
- Topics
- Power System Optimization and Stability (24 papers)Smart Grid Security and Resilience (11 papers)Power System Reliability and Maintenance (10 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaEnergyIEEE Transactions on Smart Grid
In The Last Decade
Daniil Panasetsky
49 papers receiving 493 citations
Peers
Comparison fields: 5 of 68
- Electrical and Electronic Engineering 396
- Control and Systems Engineering 215
- Safety, Risk, Reliability and Quality 53
- Artificial Intelligence 53
- Automotive Engineering 42
Countries citing papers authored by Daniil Panasetsky
This map shows the geographic impact of Daniil Panasetsky'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 Daniil Panasetsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniil Panasetsky more than expected).
Fields of papers citing papers by Daniil Panasetsky
This network shows the impact of papers produced by Daniil Panasetsky. 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 Daniil Panasetsky. The network helps show where Daniil Panasetsky may publish in the future.
Co-authorship network of co-authors of Daniil Panasetsky
This figure shows the co-authorship network connecting the top 25 collaborators of Daniil Panasetsky. A scholar is included among the top collaborators of Daniil Panasetsky 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 Daniil Panasetsky. Daniil Panasetsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 67 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 40 | |
| 12 | 12 | |
| 13 | Random Forest Based Model for Preventing Large-Scale Emergencies in Power Systems | 26 |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | Intelligent approach for preventing large-scale emergencies in electric power systems | 8 |
| 19 | 3 | |
| 20 | 7 |
About Daniil Panasetsky
Daniil Panasetsky is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and General Energy, having authored 50 papers that have together received 515 indexed citations. Recurring topics across this work include Power System Optimization and Stability (24 papers), Smart Grid Security and Resilience (11 papers) and Power System Reliability and Maintenance (10 papers). The work is most often cited by research in Energy Engineering and Power Technology (38 citations), Control and Systems Engineering (215 citations) and Electrical and Electronic Engineering (396 citations). Daniil Panasetsky has collaborated with scholars based in Russia, China and Australia. Frequent co-authors include Denis Sidorov, Nikita Tomin, Yong Li, Yijia Cao, Fang Liu, Nikolai Voropai, А. В. Жуков, Victor Kurbatsky, N.I. Voropai and Aliona Dreglea. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and IEEE Transactions on Smart Grid.
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.