Sergei Parsegov

1.6k citations
32 papers · 1.1k indexed · h-index 12

Impact in

Papers in

Sergei Parsegov

27 papers receiving 1.1k citations

Peers

Sergei Parsegov
Comparison fields: 5 of 92
  • Statistical and Nonlinear Physics 434
  • Computer Networks and Communications 468
  • Control and Systems Engineering 296
  • Communication 67
  • Automotive Engineering 90
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Citations per year

Countries citing papers authored by Sergei Parsegov

Since Specialization
Citations

This map shows the geographic impact of Sergei Parsegov'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 Sergei Parsegov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei Parsegov more than expected).

Fields of papers citing papers by Sergei Parsegov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergei Parsegov. 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 Sergei Parsegov. The network helps show where Sergei Parsegov may publish in the future.

Co-authors

The 23 scholars most cited alongside Sergei Parsegov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergei Parsegov Line = papers co-authored together Sergei Parsegov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016249
2 2016242
3 2013205
4 2012112
5 201361
6 202052
7
Proceedings of 2015 IEEE 54th Annual Conference on Decision and Control (CDC)
201549
8 201521
9 202219
10 201213
11 202312
12 201811
13 201611
14 202210
15 20248
16 20204
17 20223
18 20183
19 20242
20 20242

About Sergei Parsegov

Sergei Parsegov is a scholar working on Automotive Engineering, Computer Networks and Communications, Control and Systems Engineering, Energy Engineering and Power Technology and Catalysis, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (9 papers), Distributed Control Multi-Agent Systems (9 papers), Advanced battery technologies research (8 papers), Adaptive Control of Nonlinear Systems (4 papers), Advanced Control Systems Optimization (3 papers), Neural Networks Stability and Synchronization (3 papers), Opinion Dynamics and Social Influence (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (434 citations), Computer Networks and Communications (468 citations), Control and Systems Engineering (296 citations), Communication (67 citations) and Automotive Engineering (90 citations). Sergei Parsegov has collaborated with scholars based in Russia, Netherlands and France. Frequent co-authors include Noah E. Friedkin, Roberto Tempo, Anton V. Proskurnikov, Pavel Shcherbakov, Andrey Polyakov, Mikhail Pugach, Elena Gryazina, Aldo Bischi, Federico Martín Ibáñez and Petr Vorobev. Their work appears in journals such as Journal of Power Sources, International Journal of Electrical Power & Energy Systems, IEEE Access, Science and IEEE Transactions on Automatic Control.

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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