Ivanka Stamova
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Modeling and Simulation top 0.2%
- Applied Mathematics top 0.5%
- Control and Systems Engineering top 1%
- Co-authors
- Gani StamovShair AhmadTrayan StamovД. Д. БайновJinde CaoXiaodi LiА. А. MartynyukHai Zhang
- Topics
- Nonlinear Differential Equations Analysis (86 papers)Fractional Differential Equations Solutions (66 papers)Neural Networks Stability and Synchronization (57 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInformation Sciences
- Partner nations
- United StatesBulgariaChina
In The Last Decade
Ivanka Stamova
167 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 90
- Computer Networks and Communications 1.6k
- Statistical and Nonlinear Physics 1.0k
- Modeling and Simulation 1.0k
- Applied Mathematics 998
- Control and Systems Engineering 796
Countries citing papers authored by Ivanka Stamova
This map shows the geographic impact of Ivanka Stamova'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 Ivanka Stamova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivanka Stamova more than expected).
Fields of papers citing papers by Ivanka Stamova
This network shows the impact of papers produced by Ivanka Stamova. 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 Ivanka Stamova. The network helps show where Ivanka Stamova may publish in the future.
Co-authorship network of co-authors of Ivanka Stamova
This figure shows the co-authorship network connecting the top 25 collaborators of Ivanka Stamova. A scholar is included among the top collaborators of Ivanka Stamova 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 Ivanka Stamova. Ivanka Stamova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 32 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | Fractional-like derivative of Lyapunov-type functions and applications to stability analysis of motion | 12 |
| 17 | 1 | |
| 18 | Lyapunov-Razumikhin method for asymptotic stability of sets for impulsive functional differential equations | 2 |
| 19 | Global Stability of the Solutions of Impulsive Functional Differential Equations | 1 |
| 20 | 11 |
About Ivanka Stamova
Ivanka Stamova is a scholar working on Modeling and Simulation, Applied Mathematics and Numerical Analysis, having authored 176 papers that have together received 3.1k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (86 papers), Fractional Differential Equations Solutions (66 papers) and Neural Networks Stability and Synchronization (57 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Applied Mathematics (998 citations) and Statistical and Nonlinear Physics (1.0k citations). Ivanka Stamova has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Gani Stamov, Shair Ahmad, Trayan Stamov, Д. Д. Байнов, Jinde Cao, Xiaodi Li, А. А. Martynyuk, Hai Zhang, Martin Böhner and Mohammed Said Souıd. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.
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.