A. Vapirev

594 total citations
13 papers, 390 citations indexed

About

A. Vapirev is a scholar working on Astronomy and Astrophysics, Molecular Biology and Nuclear and High Energy Physics. According to data from OpenAlex, A. Vapirev has authored 13 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 5 papers in Molecular Biology and 4 papers in Nuclear and High Energy Physics. Recurrent topics in A. Vapirev's work include Ionosphere and magnetosphere dynamics (5 papers), Solar and Space Plasma Dynamics (5 papers) and Magnetic confinement fusion research (4 papers). A. Vapirev is often cited by papers focused on Ionosphere and magnetosphere dynamics (5 papers), Solar and Space Plasma Dynamics (5 papers) and Magnetic confinement fusion research (4 papers). A. Vapirev collaborates with scholars based in United States, Belgium and Sweden. A. Vapirev's co-authors include Stefano Markidis, Giovanni Lapenta, Marvin Steijaert, Hugo Ceulemans, Roel Wuyts, Jörg K. Wegner, M. Wiltberger, M. M. Kuznetsova, H. J. Singer and A. J. Ridley and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

A. Vapirev

13 papers receiving 382 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Vapirev United States 8 188 183 84 75 39 13 390
Zhijun Wu United States 11 164 0.9× 25 0.1× 5 0.1× 89 1.2× 6 0.2× 41 353
Mayya Tokman United States 13 41 0.2× 40 0.2× 5 0.1× 163 2.2× 4 0.1× 26 557
Martin Köhler Germany 8 45 0.2× 53 0.3× 41 0.5× 30 0.4× 18 316
Niall Gaffney United States 12 32 0.2× 323 1.8× 7 0.1× 5 0.1× 2 0.1× 27 552
Tomasz Kaczyński Canada 10 40 0.2× 6 0.0× 43 0.5× 357 4.8× 3 0.1× 38 530
Dan Burghelea United States 18 43 0.2× 13 0.1× 29 0.3× 140 1.9× 1 0.0× 70 894
M. Stipčević Croatia 14 9 0.0× 27 0.1× 59 0.7× 23 0.3× 1 0.0× 42 452
Nana Liu China 13 106 0.6× 5 0.0× 6 0.1× 68 0.9× 6 0.2× 41 807
Gábor Tóth Hungary 12 40 0.2× 327 1.8× 1 0.0× 50 0.7× 8 0.2× 43 559
I. M. James Slovakia 22 29 0.2× 50 0.3× 3 0.0× 208 2.8× 4 0.1× 68 1.8k

Countries citing papers authored by A. Vapirev

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of A. Vapirev

This figure shows the co-authorship network connecting the top 25 collaborators of A. Vapirev. A scholar is included among the top collaborators of A. Vapirev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Vapirev. A. Vapirev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Simm, Jaak, Günter Klambauer, Ádám Arany, et al.. (2018). Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. Cell chemical biology. 25(5). 611–618.e3. 140 indexed citations
2.
Vapirev, A., Jörg K. Wegner, Marvin Steijaert, et al.. (2016). Scaling machine learning for target prediction in drug discovery using Apache Spark. Future Generation Computer Systems. 67. 409–417. 34 indexed citations
3.
Verbist, Bie, Lieven Clement, Joke Reumers, et al.. (2015). ViVaMBC: estimating viral sequence variation in complex populations from illumina deep-sequencing data using model-based clustering. BMC Bioinformatics. 16(1). 59–59. 9 indexed citations
4.
Vapirev, A., et al.. (2015). Scaling Machine Learning for Target Prediction in Drug Discovery using Apache Spark. 871–879. 5 indexed citations
5.
Vapirev, A., Jan Deca, Giovanni Lapenta, et al.. (2014). Initial results on computational performance of Intel many integrated core, sandy bridge, and graphical processing unit architectures: implementation of a 1D c++/OpenMP electrostatic particle‐in‐cell code. Concurrency and Computation Practice and Experience. 27(3). 581–593. 3 indexed citations
6.
Vapirev, A., Giovanni Lapenta, Andrey Divin, et al.. (2013). Formation of a transient front structure near reconnection point in 3‐D PIC simulations. Journal of Geophysical Research Space Physics. 118(4). 1435–1449. 58 indexed citations
7.
Innocenti, Maria Elena, Giovanni Lapenta, Stefano Markidis, A. Beck, & A. Vapirev. (2013). A Multi Level Multi Domain Method for Particle In Cell plasma simulations. Journal of Computational Physics. 238. 115–140. 35 indexed citations
8.
Rastätter, L., M. M. Kuznetsova, A. Vapirev, et al.. (2011). Geospace Environment Modeling 2008–2009 Challenge: Geosynchronous magnetic field. Space Weather. 9(4). 32 indexed citations
9.
Pulkkinen, A., M. M. Kuznetsova, A. J. Ridley, et al.. (2011). Geospace Environment Modeling 2008–2009 Challenge: Ground magnetic field perturbations. Space Weather. 9(2). 61 indexed citations
10.
Hu, B. L., F. Toffoletto, R. A. Wolf, et al.. (2010). One‐way coupled OpenGGCM/RCM simulation of the 23 March 2007 substorm event. Journal of Geophysical Research Atmospheres. 115(A12). 8 indexed citations
11.
Hu, Bo, et al.. (2009). Two-way Coupled OpenGGCM and the Rice Convection Model. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
12.
Vapirev, A. & V. K. Jordanova. (2007). Calculation of bounce‐averaged velocities and hydrogen densities for a storm‐time magnetic field. Geophysical Research Letters. 34(10). 3 indexed citations
13.
Vapirev, A. & V. K. Jordanova. (2005). Calculation of Bounce-Averaged Velocities and Hydrogen Densities for a Non-dipole Magnetic Field. AGUFM. 2005. 1 indexed citations

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.

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