Valéry Covachev

516 total citations
36 papers, 354 citations indexed

About

Valéry Covachev is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Applied Mathematics. According to data from OpenAlex, Valéry Covachev has authored 36 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Statistical and Nonlinear Physics and 12 papers in Applied Mathematics. Recurrent topics in Valéry Covachev's work include Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (11 papers) and Neural Networks and Applications (8 papers). Valéry Covachev is often cited by papers focused on Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (11 papers) and Neural Networks and Applications (8 papers). Valéry Covachev collaborates with scholars based in Bulgaria, Oman and United Arab Emirates. Valéry Covachev's co-authors include Д. Д. Байнов, Haydar Akça, Rajai S. Alassar, Ivanka Stamova, Abdelkader Boucherif, Sannay Mohamad, Vladimir Georgiev, Jovan Stefanovski, Sergey Piskarev and S. Mohamad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Valéry Covachev

29 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valéry Covachev Bulgaria 7 198 140 129 99 75 36 354
Kuo‐Shou Chiu Chile 13 145 0.7× 91 0.7× 190 1.5× 85 0.9× 178 2.4× 32 387
N. Sakthivel India 13 343 1.7× 138 1.0× 117 0.9× 47 0.5× 41 0.5× 26 531
Farouk Chérif Tunisia 16 402 2.0× 187 1.3× 117 0.9× 202 2.0× 30 0.4× 40 541
Shujun Long China 11 280 1.4× 146 1.0× 73 0.6× 79 0.8× 12 0.2× 18 383
Taki-Eddine Oussaeif Algeria 11 69 0.3× 66 0.5× 139 1.1× 48 0.5× 85 1.1× 41 294
Haibo Gu China 9 164 0.8× 85 0.6× 315 2.4× 67 0.7× 90 1.2× 28 501
Yao Xu China 14 479 2.4× 257 1.8× 44 0.3× 82 0.8× 34 0.5× 22 572
Bao Tong Cui China 13 359 1.8× 151 1.1× 97 0.8× 207 2.1× 79 1.1× 35 484
Xian‐Feng Zhou China 10 204 1.0× 118 0.8× 162 1.3× 57 0.6× 100 1.3× 31 605
A‎. ‎Vinodkumar India 12 102 0.5× 70 0.5× 259 2.0× 32 0.3× 82 1.1× 43 396

Countries citing papers authored by Valéry Covachev

Since Specialization
Citations

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

Fields of papers citing papers by Valéry Covachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valéry Covachev

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

All Works

20 of 20 papers shown
1.
Akça, Haydar, et al.. (2017). Existence of periodic solutions for the discrete-time counterpart of a neutral-type cellular neural network with time-varying delays and impulses. AIP conference proceedings. 1863. 140002–140002. 1 indexed citations
2.
Akça, Haydar, et al.. (2016). NUMERICAL METHODS FOR SOLUTION OF IMPULSIVE DIFFERENTIAL EQUATIONS AND STABILITY ANALYSIS. Far East Journal of Mathematical Sciences (FJMS). 99(12). 1955–1970. 2 indexed citations
3.
Covachev, Valéry, et al.. (2015). Global Asymptotic Stability of Cohen–Grossberg Neural Networks of Neutral Type. Journal of Mathematical Sciences. 205(6). 719–732. 18 indexed citations
4.
Akça, Haydar, et al.. (2014). Global Exponential Stability of Impulsive Cohen-Grossberg-Type BAM Neural Networks with Time-Varying and Distributed Delays. International Journal of Applied Physics and Mathematics. 4(3). 196–200. 4 indexed citations
5.
Ashyralyev, Allaberen, et al.. (2013). Well-Posed and Ill-Posed Boundary Value Problems for PDE 2013. Abstract and Applied Analysis. 2013. 1–2. 1 indexed citations
6.
Akça, Haydar, et al.. (2011). Impulsive Cohen-Grossberg Neural Networks with S-Type Distributed Delays and Reaction-Diffusion Terms. 10. 1–12. 2 indexed citations
7.
Mohamad, Sannay, Haydar Akça, & Valéry Covachev. (2009). Discrete-time Cohen-Grossberg neural networks with transmission delays and impulses. Tatra Mountains Mathematical Publications. 43(1). 145–161. 5 indexed citations
8.
Mohamad, Sannay, Haydar Akça, & Valéry Covachev. (2008). Discrete-Time Analogues of Impulsive Cohen-Grossberg Neural Networks with Transmission Delays. 1. 124–143. 1 indexed citations
9.
Alassar, Rajai S., et al.. (2007). Discrete-time impulsive Hopfield neural networks with finite distributed delays. Computer Assisted Mechanics and Engineering Sciences. 65(4). 145–158. 3 indexed citations
10.
Akça, Haydar, et al.. (2005). Asymptotic behavior of discrete solutions to impulsive logistic equations.. SHILAP Revista de lepidopterología. 2005. 1–8. 1 indexed citations
11.
Akça, Haydar, et al.. (2003). Continuous-time additive Hopfield-type neural networks with impulses. Journal of Mathematical Analysis and Applications. 290(2). 436–451. 145 indexed citations
12.
Akça, Haydar, Abdelkader Boucherif, & Valéry Covachev. (2002). Impulsive functional‐differential equations with nonlocalconditions. International Journal of Mathematics and Mathematical Sciences. 29(5). 251–256. 19 indexed citations
13.
Covachev, Valéry, et al.. (2001). Complex Vector Functional Equations. WORLD SCIENTIFIC eBooks. 5 indexed citations
14.
Covachev, Valéry, et al.. (2000). Cyclic complex vector functional equations.. 2(1). 13–18.
15.
Stefanovski, Jovan, et al.. (1999). CAUCHY PROBLEM AND REDUCTION OF A SYSTEM OF PARTIAL DIFFERENTIAL EQUATIONS. Tamkang Journal of Mathematics. 30(4). 315–329. 1 indexed citations
16.
Байнов, Д. Д. & Valéry Covachev. (1994). Impulsive Differential Equations with a Small Parameter. 66 indexed citations
17.
Байнов, Д. Д., Valéry Covachev, & Ivanka Stamova. (1994). Stability under Persistent Disturbances of Impulsive Differential-Difference Equations of Neutral Type. Journal of Mathematical Analysis and Applications. 187(3). 790–808. 22 indexed citations
18.
Байнов, Д. Д. & Valéry Covachev. (1994). Periodic solutions of impulsive systems with a small delay. Journal of Physics A Mathematical and General. 27(16). 5551–5563. 6 indexed citations
19.
Covachev, Valéry & Vladimir Georgiev. (1991). Weighted decay estimate for the wave equation. Proceedings of the American Mathematical Society. 112(2). 393–402. 1 indexed citations
20.
Байнов, Д. Д., Valéry Covachev, & Ivanka Stamova. (1991). Estimates of the solutions of impulsive quasilinear functional differential equations. Annales de la faculté des sciences de Toulouse Mathématiques. 12(2). 149–161. 10 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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