A. Vapirev
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Astronomy and Astrophysics top 10%
- Ionosphere and magnetosphere dynamics
- Solar and Space Plasma Dynamics
Papers in
-
- Ionosphere and magnetosphere dynamics 5
- Solar and Space Plasma Dynamics 5
-
- Geomagnetism and Paleomagnetism Studies 4
- Co-authors
- Giovanni Lapenta (3 shared papers)Stefano Markidis (3 shared papers)Jörg K. Wegner (3 shared papers)Marvin Steijaert (3 shared papers)Roel Wuyts (3 shared papers)Hugo Ceulemans (2 shared papers)L. Rastätter (2 shared papers)H. J. Singer (2 shared papers)
- Journals
- Space Weather (2 papers)Journal of Geophysical Research Atmospheres (1 paper)Cell chemical biology (1 paper)BMC Bioinformatics (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- United StatesBelgiumSweden
In The Last Decade
A. Vapirev
13 papers receiving 388 citations
Peers
Comparison fields: 5 of 77
- Biophysics 89
- Astronomy and Astrophysics 184
- Computational Theory and Mathematics 74
- Geophysics 39
- Media Technology 25
Countries citing papers authored by A. Vapirev
This map shows the geographic impact of A. Vapirev'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 A. Vapirev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Vapirev more than expected).
Fields of papers citing papers by A. Vapirev
This network shows the impact of papers produced by A. Vapirev. 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 A. Vapirev. The network helps show where A. Vapirev may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Vapirev, 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 | 2018 | 145 | |
| 2 | 2011 | 61 | |
| 3 | 2013 | 59 | |
| 4 | 2013 | 35 | |
| 5 | 2016 | 34 | |
| 6 | 2011 | 32 | |
| 7 | 2015 | 9 | |
| 8 | 2010 | 8 | |
| 9 | 2015 | 5 | |
| 10 | 2014 | 3 | |
| 11 | 2007 | 3 | |
| 12 | Two-way Coupled OpenGGCM and the Rice Convection Model | 2009 | 1 |
| 13 | Calculation of Bounce-Averaged Velocities and Hydrogen Densities for a Non-dipole Magnetic Field | 2005 | 1 |
About A. Vapirev
A. Vapirev is a scholar working on Astronomy and Astrophysics, Molecular Biology, Nuclear and High Energy Physics, Computational Theory and Mathematics and Biomedical Engineering, having authored 13 papers that have together received 396 indexed citations. Recurring topics across this work include Ionosphere and magnetosphere dynamics (5 papers), Solar and Space Plasma Dynamics (5 papers), Geomagnetism and Paleomagnetism Studies (4 papers), Magnetic confinement fusion research (4 papers), Computational Drug Discovery Methods (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Earthquake Detection and Analysis (1 paper) and Atmospheric Ozone and Climate (1 paper). The work is most often cited by research in Biophysics (89 citations), Astronomy and Astrophysics (184 citations), Computational Theory and Mathematics (74 citations), Geophysics (39 citations) and Media Technology (25 citations). A. Vapirev has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Giovanni Lapenta, Stefano Markidis, Jörg K. Wegner, Marvin Steijaert, Roel Wuyts, Hugo Ceulemans, L. Rastätter, H. J. Singer, A. Pulkkinen and M. M. Kuznetsova. Their work appears in journals such as Space Weather, Journal of Geophysical Research Atmospheres, Cell chemical biology, BMC Bioinformatics and Journal of Computational Physics.
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.