Yu. S. Ledyaev

2.8k total citations · 1 hit paper
18 papers, 2.0k citations indexed

About

Yu. S. Ledyaev is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Numerical Analysis. According to data from OpenAlex, Yu. S. Ledyaev has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 7 papers in Applied Mathematics and 5 papers in Numerical Analysis. Recurrent topics in Yu. S. Ledyaev's work include Optimization and Variational Analysis (13 papers), Advanced Optimization Algorithms Research (5 papers) and Functional Equations Stability Results (4 papers). Yu. S. Ledyaev is often cited by papers focused on Optimization and Variational Analysis (13 papers), Advanced Optimization Algorithms Research (5 papers) and Functional Equations Stability Results (4 papers). Yu. S. Ledyaev collaborates with scholars based in Russia, Canada and United States. Yu. S. Ledyaev's co-authors include Francis Clarke, Ronald J. Stern, Peter R. Wolenski, Qiji Jim Zhu, Peter Clarke, Marius Rădulescu, A. I. Subbotin, Jean‐Baptiste Hiriart‐Urruty, D. Bessis and Richard Vinter and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Differential Equations and SIAM Journal on Control and Optimization.

In The Last Decade

Yu. S. Ledyaev

17 papers receiving 1.8k citations

Hit Papers

Nonsmooth Analysis and Control Theory 1998 2026 2007 2016 1998 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nonsmooth Analysis and Control Theory
    1998 1.4k citations Francis Clarke, Yu. S. Ledyaev et al. Graduate texts in mathematics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu. S. Ledyaev Russia 10 955 784 461 374 305 18 2.0k
Zvi Artstein Israel 29 857 0.9× 2.0k 2.5× 435 0.9× 555 1.5× 304 1.0× 109 3.6k
Marc Quincampoix France 24 591 0.6× 654 0.8× 254 0.6× 259 0.7× 136 0.4× 106 1.8k
D. Hinrichsen Germany 24 832 0.9× 1.9k 2.4× 527 1.1× 225 0.6× 174 0.6× 82 2.7k
Patrick Habets Belgium 21 465 0.5× 548 0.7× 571 1.2× 974 2.6× 179 0.6× 48 1.8k
Richard Vinter United Kingdom 31 1.7k 1.8× 1.5k 1.9× 884 1.9× 597 1.6× 240 0.8× 168 3.5k
J. William Helton United States 30 1.0k 1.1× 1.3k 1.7× 554 1.2× 730 2.0× 294 1.0× 197 3.2k
Jerzy Klamka Poland 28 384 0.4× 1.8k 2.3× 396 0.9× 961 2.6× 240 0.8× 141 2.5k
Shouchuan Hu United States 16 861 0.9× 703 0.9× 393 0.9× 1.4k 3.8× 428 1.4× 55 2.2k
Arrigo Cellina Italy 20 1.7k 1.8× 969 1.2× 458 1.0× 1.5k 4.0× 592 1.9× 86 3.6k
Henry Hermes United States 21 500 0.5× 1.6k 2.0× 289 0.6× 343 0.9× 504 1.7× 49 2.6k

Countries citing papers authored by Yu. S. Ledyaev

Since Specialization
Citations

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

Fields of papers citing papers by Yu. S. Ledyaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu. S. Ledyaev. 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 Yu. S. Ledyaev. The network helps show where Yu. S. Ledyaev may publish in the future.

Co-authorship network of co-authors of Yu. S. Ledyaev

This figure shows the co-authorship network connecting the top 25 collaborators of Yu. S. Ledyaev. A scholar is included among the top collaborators of Yu. S. Ledyaev 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 Yu. S. Ledyaev. Yu. S. Ledyaev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ledyaev, Yu. S. & Qiji Jim Zhu. (2007). Nonsmooth analysis on smooth manifolds. Transactions of the American Mathematical Society. 359(8). 3687–3732. 79 indexed citations
2.
Ledyaev, Yu. S. & Qiji Jim Zhu. (2005). MULTIDIRECTIONAL MEAN VALUE INEQUALITIES AND WEAK MONOTONICITY. Journal of the London Mathematical Society. 71(1). 187–202. 2 indexed citations
3.
Ledyaev, Yu. S.. (2002). Optimality conditions for feedback controls in problems of control under disturbance. 4. 4013–4017. 1 indexed citations
4.
Bessis, D., Yu. S. Ledyaev, & Richard Vinter. (2001). Dualization of the Euler and Hamiltonian inclusions. Nonlinear Analysis. 43(7). 861–882. 9 indexed citations
5.
Clarke, Francis, Jean‐Baptiste Hiriart‐Urruty, & Yu. S. Ledyaev. (1998). On Global Optimality Conditions for Nonlinear Optimal Control Problems. Journal of Global Optimization. 13(2). 109–122. 7 indexed citations
6.
Clarke, Francis, Yu. S. Ledyaev, & Ronald J. Stern. (1998). Asymptotic Stability and Smooth Lyapunov Functions. Journal of Differential Equations. 149(1). 69–114. 199 indexed citations
7.
Clarke, Francis, Yu. S. Ledyaev, & Ronald J. Stern. (1998). Proximal techniques of feedback construction. 1998. 177.
8.
Clarke, Francis, Yu. S. Ledyaev, Ronald J. Stern, & Peter R. Wolenski. (1998). Nonsmooth Analysis and Control Theory. Graduate texts in mathematics. 1427 indexed citations breakdown →
9.
Clarke, Francis, Yu. S. Ledyaev, & Jean‐Baptiste Hiriart‐Urruty. (1997). Global optimality in the calculus of variations. Nonlinear Analysis. 28(7). 1187–1192. 2 indexed citations
10.
Clarke, Francis, Yu. S. Ledyaev, & Marius Rădulescu. (1997). Approximate Invariance and Differential Inclusions in Hilbert Spaces. Journal of Dynamical and Control Systems. 3(4). 493–518. 29 indexed citations
11.
Clarke, Francis, Yu. S. Ledyaev, & Marius Rădulescu. (1997). Approximate invariance and differential inclusions in Hilbert spaces. Journal of Dynamical and Control Systems. 3(4). 493–518. 11 indexed citations
12.
Clarke, Francis, Yu. S. Ledyaev, & A. I. Subbotin. (1997). The Synthesis of Universal Feedback Pursuit Strategies in Differential Games. SIAM Journal on Control and Optimization. 35(2). 552–561. 18 indexed citations
13.
Ledyaev, Yu. S., et al.. (1996). Optimality conditions for implicit controlled systems. Journal of Mathematical Sciences. 80(1). 1519–1532. 2 indexed citations
14.
Clarke, Peter, Yu. S. Ledyaev, Ronald J. Stern, & Peter R. Wolenski. (1995). Qualitative properties of trajectories of control systems: A survey. Journal of Dynamical and Control Systems. 1(1). 1–48. 113 indexed citations
15.
Clarke, Francis, Yu. S. Ledyaev, & Ronald J. Stern. (1995). Fixed points and equilibria in nonconvex sets. Nonlinear Analysis. 25(2). 145–161. 15 indexed citations
16.
Clarke, Francis & Yu. S. Ledyaev. (1994). Mean Value Inequalities. Proceedings of the American Mathematical Society. 122(4). 1075–1075. 3 indexed citations
17.
Clarke, Francis & Yu. S. Ledyaev. (1994). Mean Value Inequalities in Hilbert Space. Transactions of the American Mathematical Society. 344(1). 307–307. 18 indexed citations
18.
Clarke, Francis & Yu. S. Ledyaev. (1994). Mean value inequalities. Proceedings of the American Mathematical Society. 122(4). 1075–1083. 26 indexed citations

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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