Vladimir Turetsky

943 citations
84 papers · 729 · h-index 16

Impact in

Papers in

Vladimir Turetsky

78 papers receiving 697 citations

Peers

Vladimir Turetsky
Comparison fields: 5 of 56
  • Aerospace Engineering 549
  • Statistical and Nonlinear Physics 161
  • Control and Systems Engineering 226
  • Numerical Analysis 48
  • Computational Mechanics 111
Replace Martin Weiß with:
Martin Weiß Israel
Laurent Burlion France
Aude Rondepierre France
H. Kwakernaak Netherlands
Josef Shinar Israel
Nazareth S. Bedrossian United States
Utku Eren United States
DOUGLAS J. BENDER United States
B.T. Polyak Russia
Binfeng Pan China
Vladimir Turetsky relative to Martin Weiß Israel Martin Weiß's profile →
Citations per field
00.5×2×2.9×
Martin Weiß · 1×
Citations per year

Countries citing papers authored by Vladimir Turetsky

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Turetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Vladimir Turetsky, 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 Vladimir Turetsky Line = papers co-authored together Vladimir Turetsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003112
2 200636
3 200927
4 200322
5 200720
6 201320
7 201820
8 201619
9 201319
10 201918
11 202118
12 200417
13 200517
14 200717
15 201016
16 200916
17 200516
18 200416
19 200816
20 200715

About Vladimir Turetsky

Vladimir Turetsky is a scholar working on Aerospace Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Mechanics and Artificial Intelligence, having authored 84 papers that have together received 729 indexed citations. Recurring topics across this work include Guidance and Control Systems (59 papers), Quantum chaos and dynamical systems (21 papers), Military Defense Systems Analysis (20 papers), Adaptive Control of Nonlinear Systems (19 papers), Computational Fluid Dynamics and Aerodynamics (19 papers), Extremum Seeking Control Systems (13 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers) and Advanced Control Systems Optimization (7 papers). The work is most often cited by research in Aerospace Engineering (549 citations), Statistical and Nonlinear Physics (161 citations), Control and Systems Engineering (226 citations), Numerical Analysis (48 citations) and Computational Mechanics (111 citations). Vladimir Turetsky has collaborated with scholars based in Israel, Mexico and United States. Frequent co-authors include Josef Shinar, Valery Y. Glizer, Tal Y. Shima, Yaakov Oshman, Martin Weiß, Leonid M. Fridman, David M. Steinberg, Alexander Mikhailovich Tarasyev and Stéphane Le Ménec. Their work appears in journals such as Journal of Optimization Theory and Applications, Journal of Guidance Control and Dynamics, IEEE Transactions on Control Systems Technology, Measurement and Journal of the Franklin Institute.

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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