Anna Levina
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
Papers in
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- Neural dynamics and brain function 23
- Functional Brain Connectivity Studies 4
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- stochastic dynamics and bifurcation 8
- Complex Network Analysis Techniques 4
- Co-authors
- J. Michael Herrmann (8 shared papers)T. Geisel (6 shared papers)Viola Priesemann (6 shared papers)Jan Nagler (1 shared paper)Marc Timme (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)Stochastics and Dynamics (2 papers)Physical review. E (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Anna Levina
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 717
- Statistical and Nonlinear Physics 462
- Cellular and Molecular Neuroscience 247
- Condensed Matter Physics 100
- Mathematical Physics 76
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 383 | |
| 2 | 2011 | 147 | |
| 3 | 2009 | 104 | |
| 4 | 2017 | 69 | |
| 5 | 2021 | 55 | |
| 6 | 2015 | 43 | |
| 7 | 2023 | 42 | |
| 8 | 2021 | 34 | |
| 9 | 2022 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2022 | 17 | |
| 14 | 2006 | 16 | |
| 15 | 2020 | 14 | |
| 16 | Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches | 2005 | 12 |
| 17 | 2024 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 9 |
About Anna Levina
Anna Levina is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Advanced Memory and Neural Computing (11 papers), stochastic dynamics and bifurcation (8 papers), Neural Networks and Applications (6 papers), Functional Brain Connectivity Studies (4 papers), Theoretical and Computational Physics (4 papers), Complex Network Analysis Techniques (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cognitive Neuroscience (717 citations), Statistical and Nonlinear Physics (462 citations), Cellular and Molecular Neuroscience (247 citations), Condensed Matter Physics (100 citations) and Mathematical Physics (76 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, Jan Nagler, Marc Timme, Jürgen Jost, Tatiana A. Engel, Johannes Zierenberg, Menahem Segal and Elisha Moses. Their work appears in journals such as BMC Neuroscience, PLoS Computational Biology, Nature Communications, Stochastics and Dynamics 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.