Anna Levina
Impact in
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- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
Papers in ⓘ
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- Neural dynamics and brain function 22
- Functional Brain Connectivity Studies 4
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- stochastic dynamics and bifurcation 7
- Complex Network Analysis Techniques 3
- Co-authors
- J. Michael Herrmann (8 shared papers)T. Geisel (6 shared papers)Viola Priesemann (5 shared papers)Marc Timme (1 shared paper)Jan Nagler (1 shared paper)Jürgen Jost (1 shared paper)Tatiana A. Engel (4 shared papers)Johannes Zierenberg (4 shared papers)
- Journals
- BMC Neuroscience (3 papers)PLoS Computational Biology (3 papers)Nature Communications (2 papers)Physical Review Research (2 papers)Physical review. E (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Anna Levina
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Statistical and Nonlinear Physics 443
- Cognitive Neuroscience 677
- Cellular and Molecular Neuroscience 231
- Mathematical Physics 74
- Condensed Matter Physics 96
Countries citing papers authored by Anna Levina
This map shows the geographic impact of Anna Levina'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 Levina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Levina more than expected).
Fields of papers citing papers by Anna Levina
This network shows the impact of papers produced by Anna Levina. 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 Levina. The network helps show where Anna Levina may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Levina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 365 | |
| 2 | 2011 | 140 | |
| 3 | 2009 | 99 | |
| 4 | 2017 | 62 | |
| 5 | 2021 | 51 | |
| 6 | 2015 | 41 | |
| 7 | 2023 | 40 | |
| 8 | 2021 | 33 | |
| 9 | 2022 | 22 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2013 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2006 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 12 | |
| 17 | Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches | 2005 | 10 |
| 18 | 2020 | 10 | |
| 19 | 2024 | 9 | |
| 20 | 2022 | 7 |
About Anna Levina
Anna Levina is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Aging, Condensed Matter Physics and Mathematical Physics, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (22 papers), Advanced Memory and Neural Computing (10 papers), stochastic dynamics and bifurcation (7 papers), Neural Networks and Applications (6 papers), Theoretical and Computational Physics (4 papers), Functional Brain Connectivity Studies (4 papers), Neuroscience and Neural Engineering (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (443 citations), Cognitive Neuroscience (677 citations), Cellular and Molecular Neuroscience (231 citations), Mathematical Physics (74 citations) and Condensed Matter Physics (96 citations). Anna Levina has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include J. Michael Herrmann, T. Geisel, Viola Priesemann, Marc Timme, Jan Nagler, Jürgen Jost, Tatiana A. Engel, Johannes Zierenberg, Elisha Moses and Menahem Segal. Their work appears in journals such as BMC Neuroscience, PLoS Computational Biology, Nature Communications, Physical Review Research and Physical review. E.
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.