Natalia Janson
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- A. G. BalanovEckehard SchöllDmitry E. PostnovFelipe IzaJames L. WalshMichael G. KongOlga SosnovtsevaVictor J. Law
- Topics
- Nonlinear Dynamics and Pattern Formation (34 papers)stochastic dynamics and bifurcation (27 papers)Neural dynamics and brain function (15 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- United KingdomRussiaGermany
In The Last Decade
Natalia Janson
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Computer Networks and Communications 800
- Statistical and Nonlinear Physics 785
- Electrical and Electronic Engineering 397
- Radiology, Nuclear Medicine and Imaging 328
- Cognitive Neuroscience 314
Countries citing papers authored by Natalia Janson
This map shows the geographic impact of Natalia Janson'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 Natalia Janson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Janson more than expected).
Fields of papers citing papers by Natalia Janson
This network shows the impact of papers produced by Natalia Janson. 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 Natalia Janson. The network helps show where Natalia Janson may publish in the future.
Co-authorship network of co-authors of Natalia Janson
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Janson. A scholar is included among the top collaborators of Natalia Janson 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 Natalia Janson. Natalia Janson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 36 | |
| 3 | 40 | |
| 4 | 33 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 13 | |
| 9 | 32 | |
| 10 | 55 | |
| 11 | 162 | |
| 12 | 4 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 28 | |
| 16 | 15 | |
| 17 | 38 | |
| 18 | 5 | |
| 19 | Saddle focus in a model of the electrical activity of the human heart | 1 |
| 20 | 7 |
About Natalia Janson
Natalia Janson is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (34 papers), stochastic dynamics and bifurcation (27 papers) and Neural dynamics and brain function (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (785 citations), Computer Networks and Communications (800 citations) and Cognitive Neuroscience (314 citations). Natalia Janson has collaborated with scholars based in United Kingdom, Russia and Germany. Frequent co-authors include A. G. Balanov, Eckehard Schöll, Dmitry E. Postnov, Felipe Iza, James L. Walsh, Michael G. Kong, Olga Sosnovtseva, Victor J. Law, В. С. Анищенко and P. V. E. McClintock. Their work appears in journals such as Physical Review Letters, Journal of Applied Physics and Scientific Reports.
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.