Anna Bulanova
Impact in
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- Neural dynamics and brain function
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- Numerical methods in inverse problems
Papers in
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- Stability and Controllability of Differential Equations 2
- Control Systems and Identification 2
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- Ion channel regulation and function 1
- Co-authors
- William W. Lytton (3 shared papers)Robert A. McDougal (3 shared papers)Sergei Avdonin (3 shared papers)Samuel A. Neymotin (2 shared papers)William Moran (1 shared paper)David Terman (1 shared paper)Michael L. Hines (2 shared papers)Péter Lakatos (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)BMC Neuroscience (1 paper)Neuroscience (1 paper)International Journal of Applied Mathematics and Computer Science (1 paper)Mathematics of Control Signals and Systems (1 paper)
- Partner nations
- United StatesTürkiyeAustralia
In The Last Decade
Anna Bulanova
7 papers receiving 93 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 37
- Mathematical Physics 15
- Cellular and Molecular Neuroscience 27
- Biophysics 8
- Information Systems and Management 10
Countries citing papers authored by Anna Bulanova
This map shows the geographic impact of Anna Bulanova'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 Bulanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Bulanova more than expected).
Fields of papers citing papers by Anna Bulanova
This network shows the impact of papers produced by Anna Bulanova. 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 Bulanova. The network helps show where Anna Bulanova may publish in the future.
Co-authors
The 9 scholars most cited alongside Anna Bulanova, 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 | 2016 | 37 | |
| 2 | 2015 | 31 | |
| 3 | 2007 | 12 | |
| 4 | 2010 | 8 | |
| 5 | 2009 | 5 | |
| 6 | 2021 | 2 | |
| 7 | 2014 | 1 |
About Anna Bulanova
Anna Bulanova is a scholar working on Control and Systems Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Mathematical Physics and Information Systems, having authored 7 papers that have together received 96 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (2 papers), Control Systems and Identification (2 papers), Neuroscience and Neural Engineering (1 paper), Advanced Mathematical Modeling in Engineering (1 paper), Ion channel regulation and function (1 paper), Direction-of-Arrival Estimation Techniques (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Numerical methods in inverse problems (1 paper). The work is most often cited by research in Cognitive Neuroscience (37 citations), Mathematical Physics (15 citations), Cellular and Molecular Neuroscience (27 citations), Biophysics (8 citations) and Information Systems and Management (10 citations). Anna Bulanova has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include William W. Lytton, Robert A. McDougal, Sergei Avdonin, Samuel A. Neymotin, William Moran, David Terman, Michael L. Hines, Péter Lakatos and Dmitry Nicolsky. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, BMC Neuroscience, Neuroscience, International Journal of Applied Mathematics and Computer Science and Mathematics of Control Signals and Systems.
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.