Daniil Panasetsky

65 total papers · 704 total citations
50 papers, 512 citations indexed

About

Daniil Panasetsky is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Daniil Panasetsky has authored 50 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 30 papers in Control and Systems Engineering and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Daniil Panasetsky's work include Power System Optimization and Stability (24 papers), Smart Grid Security and Resilience (11 papers) and Power System Reliability and Maintenance (10 papers). Daniil Panasetsky is often cited by papers focused on Power System Optimization and Stability (24 papers), Smart Grid Security and Resilience (11 papers) and Power System Reliability and Maintenance (10 papers). Daniil Panasetsky collaborates with scholars based in Russia, China and Australia. Daniil Panasetsky's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and IEEE Transactions on Smart Grid.

In The Last Decade

Daniil Panasetsky

49 papers receiving 490 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniil Panasetsky	394	214	53	53	42	50	512
Omar Kahouli	286 0.7×	187 0.9×	34 0.6×	72 1.4×	15 0.4×	58	480
Yashar Mousavi	245 0.6×	312 1.5×	20 0.4×	114 2.2×	27 0.6×	33	577
Mihail Abrudean	241 0.6×	296 1.4×	17 0.3×	25 0.5×	18 0.4×	114	494
M.M. Abdel Aziz	487 1.2×	344 1.6×	28 0.5×	13 0.2×	24 0.6×	52	584
Pham Luu Trung Duong	117 0.3×	137 0.6×	76 1.4×	19 0.4×	129 3.1×	48	522
Paweł Skruch	144 0.4×	185 0.9×	14 0.3×	69 1.3×	94 2.2×	65	462
Shengwei Mei	350 0.9×	222 1.0×	92 1.7×	30 0.6×	12 0.3×	43	476
Haifeng Liang	482 1.2×	229 1.1×	33 0.6×	44 0.8×	48 1.1×	52	565
Tao Zhang	256 0.6×	198 0.9×	15 0.3×	29 0.5×	17 0.4×	57	519
José Antonio Rosendo Macías	473 1.2×	260 1.2×	36 0.7×	32 0.6×	10 0.2×	48	598

Countries citing papers authored by Daniil Panasetsky

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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