Nikola Popović
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Genetics
- Co-authors
- Martin KrupaRamon GrimaNancy KopellPhilipp ThomasHoracio G. RotsteinPeter De MaesschalckPeter SzmolyanFreddy Dumortier
- Topics
- Nonlinear Dynamics and Pattern Formation (20 papers)stochastic dynamics and bifurcation (12 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Mathematical Analysis and ApplicationsPhysica D Nonlinear Phenomena
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Nikola Popović
40 papers receiving 654 citations
Peers
Comparison fields: 5 of 71
- Statistical and Nonlinear Physics 352
- Computer Networks and Communications 323
- Molecular Biology 200
- Public Health, Environmental and Occupational Health 103
- Genetics 84
Countries citing papers authored by Nikola Popović
This map shows the geographic impact of Nikola Popović'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 Nikola Popović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikola Popović more than expected).
Fields of papers citing papers by Nikola Popović
This network shows the impact of papers produced by Nikola Popović. 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 Nikola Popović. The network helps show where Nikola Popović may publish in the future.
Co-authorship network of co-authors of Nikola Popović
This figure shows the co-authorship network connecting the top 25 collaborators of Nikola Popović. A scholar is included among the top collaborators of Nikola Popović 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 Nikola Popović. Nikola Popović 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 | 2 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | H-Matrix Techniques for Stray-Field Computations in Computational Micromagnetics | 0 |
| 15 | Reduction for Michaelis-Menten-Henri kinetics in the presence of diffusion | 4 |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 14 | |
| 20 | 20 |
About Nikola Popović
Nikola Popović is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 42 papers that have together received 709 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (20 papers), stochastic dynamics and bifurcation (12 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (352 citations), Computer Networks and Communications (323 citations) and Numerical Analysis (47 citations). Nikola Popović has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin Krupa, Ramon Grima, Nancy Kopell, Philipp Thomas, Horacio G. Rotstein, Nancy Kopell, Peter De Maesschalck, Peter Szmolyan, Freddy Dumortier and Ekaterina Kutafina. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.