Valéry Covachev
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Applied Mathematics top 5%
- Artificial Intelligence top 10%
- Numerical Analysis top 10%
- Co-authors
- Д. Д. БайновHaydar AkçaRajai S. AlassarIvanka StamovaAbdelkader BoucherifSannay MohamadVladimir GeorgievJovan Stefanovski
- Topics
- Neural Networks Stability and Synchronization (16 papers)stochastic dynamics and bifurcation (11 papers)Neural Networks and Applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- BulgariaOmanUnited Arab Emirates
In The Last Decade
Valéry Covachev
29 papers receiving 312 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 198
- Statistical and Nonlinear Physics 140
- Applied Mathematics 129
- Artificial Intelligence 99
- Numerical Analysis 75
Countries citing papers authored by Valéry Covachev
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | Impulsive Cohen-Grossberg Neural Networks with S-Type Distributed Delays and Reaction-Diffusion Terms | 2 |
| 7 | 5 | |
| 8 | Discrete-Time Analogues of Impulsive Cohen-Grossberg Neural Networks with Transmission Delays | 1 |
| 9 | 3 | |
| 10 | Asymptotic behavior of discrete solutions to impulsive logistic equations. | 1 |
| 11 | 145 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | Cyclic complex vector functional equations. | 0 |
| 15 | 1 | |
| 16 | 66 | |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 10 |
About Valéry Covachev
Valéry Covachev is a scholar working on Numerical Analysis, Applied Mathematics and Statistical and Nonlinear Physics, having authored 36 papers that have together received 354 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (16 papers), stochastic dynamics and bifurcation (11 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Numerical Analysis (75 citations), Applied Mathematics (129 citations) and Statistical and Nonlinear Physics (140 citations). Valéry Covachev has collaborated with scholars based in Bulgaria, Oman and United Arab Emirates. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.