Ivan P. Jordanov
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 10%
- Modeling and Simulation top 5%
- Public Health, Environmental and Occupational Health
- Mathematical Physics
- Co-authors
- Nikolay K. VitanovZlatinka I. DimitrovaЕлена НиколоваShunsuke ManagiKenshi SakaiI. AngelovGeorgi GluhchevYordan G. Marinov
- Topics
- Nonlinear Photonic Systems (5 papers)Nonlinear Dynamics and Pattern Formation (5 papers)Mathematical and Theoretical Epidemiology and Ecology Models (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsApplied Mathematics and Computation
In The Last Decade
Ivan P. Jordanov
12 papers receiving 167 citations
Peers
Comparison fields: 5 of 51
- Statistical and Nonlinear Physics 116
- Numerical Analysis 51
- Modeling and Simulation 45
- Public Health, Environmental and Occupational Health 34
- Mathematical Physics 18
Countries citing papers authored by Ivan P. Jordanov
This map shows the geographic impact of Ivan P. Jordanov'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 Ivan P. Jordanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan P. Jordanov more than expected).
Fields of papers citing papers by Ivan P. Jordanov
This network shows the impact of papers produced by Ivan P. Jordanov. 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 Ivan P. Jordanov. The network helps show where Ivan P. Jordanov may publish in the future.
Co-authorship network of co-authors of Ivan P. Jordanov
This figure shows the co-authorship network connecting the top 25 collaborators of Ivan P. Jordanov. A scholar is included among the top collaborators of Ivan P. Jordanov 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 Ivan P. Jordanov. Ivan P. Jordanov 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 55 | |
| 14 | 58 | |
| 15 | 14 |
About Ivan P. Jordanov
Ivan P. Jordanov is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Computer Networks and Communications, having authored 15 papers that have together received 170 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (5 papers). The work is most often cited by research in Modeling and Simulation (45 citations), Numerical Analysis (51 citations) and Statistical and Nonlinear Physics (116 citations). Ivan P. Jordanov has collaborated with scholars based in Bulgaria, Ukraine and Japan. Frequent co-authors include Nikolay K. Vitanov, Zlatinka I. Dimitrova, Елена Николова, Shunsuke Managi, Kenshi Sakai, I. Angelov, Georgi Gluhchev, Yordan G. Marinov, Ignat Ignatov and Paunka Vassileva. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its 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.