Pavel Pakshin

686 citations
94 papers · 489 indexed · h-index 13

Pavel Pakshin

86 papers receiving 469 citations

Peers

Pavel Pakshin
Comparison fields: 5 of 41
  • Control and Systems Engineering 461
  • Mechanical Engineering 118
  • Computer Networks and Communications 72
  • Statistical and Nonlinear Physics 28
  • Computational Theory and Mathematics 35
Replace Joaquı́n Collado with:
Joaquı́n Collado Mexico
Mohsen Ekramian Iran
Mao Wang China
Jalal Nazarzadeh Iran
Jenq‐Lang Wu Taiwan
N. Sivashankar United States
Zhijia Zhao China
Antonio Estrada Mexico
Fang Gao China
Raúl Villafuerte‐Segura Mexico
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Citations per field
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Joaquı́n Collado · 1×
Citations per year

Countries citing papers authored by Pavel Pakshin

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Pakshin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Pavel Pakshin, 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 Pavel Pakshin Line = papers co-authored together Pavel Pakshin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20230
4 20237
5 20231
6 20231
7 20231
8 20231
9 20231
10 20214
11 20193
12 20142
13
Vector Lyapunov Function based Stability of a Class of Applications Relevant 2D Nonlinear Systems
201417
14 201425
15 20130
16 20092
17 20091
18
Robust simultaneous stabilization of uncertain discrete-time systems
20083
19 20082
20 20043

About Pavel Pakshin

Pavel Pakshin is a scholar working on Control and Systems Engineering, Numerical Analysis and Mechanical Engineering, having authored 94 papers that have together received 489 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (51 papers), Stability and Control of Uncertain Systems (27 papers), Advanced machining processes and optimization (21 papers), Piezoelectric Actuators and Control (16 papers), Control Systems and Identification (16 papers), Adaptive Control of Nonlinear Systems (15 papers), Advanced Control Systems Optimization (14 papers) and Advanced Surface Polishing Techniques (7 papers). The work is most often cited by research in Control and Systems Engineering (461 citations), Mechanical Engineering (118 citations) and Computer Networks and Communications (72 citations). Pavel Pakshin has collaborated with scholars based in Russia, United Kingdom and Poland. Frequent co-authors include Julia Emelianova, Eric Rogers, Krzysztof Gałkowski, Dimitri Peaucelle, Valery Ugrinovskii, Krystian Erwiński, Vojtěch Veselý and Jean‐Philippe Chancelier. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology and Systems & Control Letters.

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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