Anna Ghazaryan
- Neurology top 5%
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- Multiple Sclerosis Research Studies 10
- Modeling and Simulation top 10%
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- Nonlinear Dynamics and Pattern Formation 13
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
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- Advanced Mathematical Modeling in Engineering 6
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- Neuroscience and Neural Engineering 6
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- Stability and Controllability of Differential Equations 6
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- stochastic dynamics and bifurcation 5
- Quantum chaos and dynamical systems 5
- Co-authors
- Patrizio PasqualettiStephen SchecterDoriana LandiMaria Maddalena FilippiFranca TecchioGiancarlo ZitoYuri LatushkinPaolo Maria Rossini
- Journals
- Clinical Neurophysiology (2 papers)Physica D Nonlinear Phenomena (3 papers)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Anna Ghazaryan
43 papers receiving 679 citations
Peers
Comparison fields: 5 of 101
- Neurology 188
- Pathology and Forensic Medicine 235
- Neurology 86
- Modeling and Simulation 25
- Numerical Analysis 28
Countries citing papers authored by Anna Ghazaryan
This map shows the geographic impact of Anna Ghazaryan'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 Ghazaryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Ghazaryan more than expected).
Fields of papers citing papers by Anna Ghazaryan
This network shows the impact of papers produced by Anna Ghazaryan. 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 Ghazaryan. The network helps show where Anna Ghazaryan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Ghazaryan, 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 | 2023 | 4 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 38 | |
| 5 | 2019 | 47 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 63 | |
| 8 | 2016 | 28 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 45 | |
| 11 | 2014 | 31 | |
| 12 | 2014 | 30 | |
| 13 | 2014 | 93 | |
| 14 | 2013 | 6 | |
| 15 | 2010 | 19 | |
| 16 | 2009 | 10 | |
| 17 | 2009 | 11 | |
| 18 | 2006 | 2 | |
| 19 | Nonlinear convective instability of fronts: a case study | 2005 | 1 |
| 20 | Quantification of chemical elements in blood of patients affected by multiple sclerosis. | 2005 | 40 |
About Anna Ghazaryan
Anna Ghazaryan is a scholar working on Statistical and Nonlinear Physics, Sensory Systems and Neurology, having authored 46 papers that have together received 724 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (13 papers), Multiple Sclerosis Research Studies (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Advanced Mathematical Modeling in Engineering (6 papers), Neuroscience and Neural Engineering (6 papers), Stability and Controllability of Differential Equations (6 papers), stochastic dynamics and bifurcation (5 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Neurology (188 citations), Pathology and Forensic Medicine (235 citations) and Neurology (86 citations). Anna Ghazaryan has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Patrizio Pasqualetti, Stephen Schecter, Doriana Landi, Maria Maddalena Filippi, Franca Tecchio, Giancarlo Zito, Yuri Latushkin, Paolo Maria Rossini, Carlo Cottone and Andrea Cancelli. Their work appears in journals such as Clinical Neurophysiology, Physica D Nonlinear Phenomena and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.