Anna Zakharova
- Statistical and Nonlinear Physics top 0.2%
- stochastic dynamics and bifurcation 33
- Chaos control and synchronization 10
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 74
- Neural Networks Stability and Synchronization 15
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 29
- Biomedical Engineering top 5%
- Slime Mold and Myxomycetes Research 30
- Global and Planetary Change top 10%
- Ecosystem dynamics and resilience 8
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- Neural Networks and Reservoir Computing 6
- Co-authors
- Eckehard SchöllIryna OmelchenkoВ. С. АнищенкоMarie Lisa KapellerNadezhda SemenovaТ. Е. ВадивасоваJakub SawickiGalina I. Strelkova
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Physical Review Letters (3 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
In The Last Decade
Anna Zakharova
82 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 75
- Statistical and Nonlinear Physics 1.7k
- Computer Networks and Communications 2.5k
- Cognitive Neuroscience 1.2k
- Biomedical Engineering 766
- Global and Planetary Change 190
Countries citing papers authored by Anna Zakharova
This map shows the geographic impact of Anna Zakharova'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 Anna Zakharova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Zakharova more than expected).
Fields of papers citing papers by Anna Zakharova
This network shows the impact of papers produced by Anna Zakharova. 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 Anna Zakharova. The network helps show where Anna Zakharova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Zakharova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 23 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 24 | |
| 12 | 2016 | 170 | |
| 13 | 2016 | 71 | |
| 14 | 2016 | 78 | |
| 15 | 2015 | 26 | |
| 16 | 2015 | 86 | |
| 17 | 2015 | 84 | |
| 18 | 2014 | 285 | |
| 19 | 2014 | 44 | |
| 20 | 2011 | 14 |
About Anna Zakharova
Anna Zakharova is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 83 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (74 papers), stochastic dynamics and bifurcation (33 papers), Slime Mold and Myxomycetes Research (30 papers), Neural dynamics and brain function (29 papers), Neural Networks Stability and Synchronization (15 papers), Chaos control and synchronization (10 papers), Ecosystem dynamics and resilience (8 papers) and Neural Networks and Reservoir Computing (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Computer Networks and Communications (2.5k citations) and Cognitive Neuroscience (1.2k citations). Anna Zakharova has collaborated with scholars based in Germany, Russia and India. Frequent co-authors include Eckehard Schöll, Iryna Omelchenko, В. С. Анищенко, Marie Lisa Kapeller, Nadezhda Semenova, Т. Е. Вадивасова, Jakub Sawicki, Galina I. Strelkova, В. В. Семенов and Sarika Jalan. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.
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.