Arcady Ponosov
- Control and Systems Engineering top 10%
- Applied Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- John WyllerDaniele GuidoSergio ScarlattiSergio AlbeverioEugene StepanovLev IdelsValeria TafintsevaKristin Tøndel
- Topics
- Gene Regulatory Network Analysis (11 papers)Stability and Controllability of Differential Equations (10 papers)Nonlinear Differential Equations Analysis (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsPhysica D Nonlinear Phenomena
In The Last Decade
Arcady Ponosov
41 papers receiving 222 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 80
- Applied Mathematics 65
- Statistical and Nonlinear Physics 49
- Computer Networks and Communications 48
- Molecular Biology 48
Countries citing papers authored by Arcady Ponosov
This map shows the geographic impact of Arcady Ponosov'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 Arcady Ponosov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arcady Ponosov more than expected).
Fields of papers citing papers by Arcady Ponosov
This network shows the impact of papers produced by Arcady Ponosov. 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 Arcady Ponosov. The network helps show where Arcady Ponosov may publish in the future.
Co-authorship network of co-authors of Arcady Ponosov
This figure shows the co-authorship network connecting the top 25 collaborators of Arcady Ponosov. A scholar is included among the top collaborators of Arcady Ponosov 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 Arcady Ponosov. Arcady Ponosov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | A general framework for stability analysis of gene regulatory networks with delay. | 4 |
| 15 | 4 | |
| 16 | Gene regulatory networks and delay differential equations. | 6 |
| 17 | 1 | |
| 18 | Stability of stochastic functional differential equations and the W-transform | 9 |
| 19 | 2 | |
| 20 | 20 |
About Arcady Ponosov
Arcady Ponosov is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 48 papers that have together received 249 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (11 papers), Stability and Controllability of Differential Equations (10 papers) and Nonlinear Differential Equations Analysis (9 papers). The work is most often cited by research in Modeling and Simulation (30 citations), Applied Mathematics (65 citations) and Numerical Analysis (27 citations). Arcady Ponosov has collaborated with scholars based in Norway, Russia and Canada. Frequent co-authors include John Wyller, Daniele Guido, Sergio Scarlatti, Sergio Albeverio, Eugene Stepanov, Lev Idels, Valeria Tafintseva, Kristin Tøndel, Harald Martens and P. Mishra. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.
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.