Daniel Toundykov

43 papers receiving 737 citations

Peers

Daniel Toundykov
Comparison fields: 5 of 43
  • Mathematical Physics 529
  • Computational Theory and Mathematics 561
  • Control and Systems Engineering 702
  • Applied Mathematics 118
  • Environmental Engineering 68
Replace Chunhong Xie with:
Chunhong Xie China
Stéphane Gerbi France
Hongwei Zhang China
C. J. van Duyn Netherlands
G. D. Veerappa Gowda India
Robert G. Underwood United States
Maria Girardi Italy
S. I. Lyashko Ukraine
Runhild A. Klausen Norway
Roger C. McCann United States
Daniel Toundykov relative to Chunhong Xie China Chunhong Xie's profile →
Citations per field
00.5×6.1×
Chunhong Xie · 1×
Citations per year

Countries citing papers authored by Daniel Toundykov

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Toundykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Daniel Toundykov, 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 Daniel Toundykov Line = papers co-authored together Daniel Toundykov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200599
2 200965
3 200963
4 201062
5 200647
6 201139
7 200836
8 201234
9 200930
10 201427
11 201524
12 201224
13 200923
14 200823
15 201420
16 201018
17 201416
18 200414
19 201413
20 201113

About Daniel Toundykov

Daniel Toundykov is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Mathematical Physics, Applied Mathematics and Computational Mechanics, having authored 47 papers that have together received 816 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (41 papers), Advanced Mathematical Modeling in Engineering (32 papers), Advanced Mathematical Physics Problems (24 papers), Navier-Stokes equation solutions (7 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Numerical methods in inverse problems (3 papers), Hydrology and Watershed Management Studies (3 papers) and Soil and Water Nutrient Dynamics (2 papers). The work is most often cited by research in Mathematical Physics (529 citations), Computational Theory and Mathematics (561 citations), Control and Systems Engineering (702 citations), Applied Mathematics (118 citations) and Environmental Engineering (68 citations). Daniel Toundykov has collaborated with scholars based in United States, Brazil and Saudi Arabia. Frequent co-authors include Irena Lasiecka, Mohammad A. Rammaha, Marcelo M. Cavalcanti, Vitaly A. Zlotnik, Lorena Bociu, M. Bayani Cardenas, V. N. Domingos Cavalcanti, Igor Čhuešhov, Pei Pei and Claudianor O. Alves. Their work appears in journals such as Evolution equations and control theory, Nonlinear Analysis, Journal of Differential Equations, Discrete and Continuous Dynamical Systems and Applied Mathematics & Optimization.

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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