Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Space Weather Modeling Framework: A new tool for the space science community
2005570 citationsG. Tóth, T. I. Gombosi et al.Journal of Geophysical Research Atmospheresprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of S. Sazykin'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 S. Sazykin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sazykin more than expected).
This network shows the impact of papers produced by S. Sazykin. 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 S. Sazykin. The network helps show where S. Sazykin may publish in the future.
Co-authorship network of co-authors of S. Sazykin
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sazykin.
A scholar is included among the top collaborators of S. Sazykin 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 S. Sazykin. S. Sazykin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wolf, R. A., Adrian Jäggi, S. Sazykin, Jing Yang, & F. Toffoletto. (2014). Auroral Arcs in a Rice Convection Model Context. AGU Fall Meeting Abstracts. 2014.1 indexed citations
6.
Toffoletto, F., et al.. (2014). On the Contribution of Plasma Sheet Bubbles to the Storm-Time Ring Current Injection. AGU Fall Meeting Abstracts. 2014.1 indexed citations
Toffoletto, F., et al.. (2013). Calculation of Magnetospheric Equilibria and Evolution of Plasma Bubbles with a New Finite-Volume MHD/Magnetofriction Code. AGU Fall Meeting Abstracts. 2013.8 indexed citations
Sazykin, S., et al.. (2005). Oxygen effects in the Rice Convection Model when coupled to the Space Weather Modeling Framework (SWMF). AGU Fall Meeting Abstracts. 2005.1 indexed citations
Sazykin, S., R. A. Wolf, B. G. Fejer, et al.. (2004). Ionospheric Prompt Penetration Electric Fields: Comparison of First-principle Solutions With Observations. AGUFM. 2004.2 indexed citations
14.
Maruyama, Naomi, T. J. Fuller‐Rowell, M. Codrescu, et al.. (2004). Relative Importance of Direct Penetration and Disturbance Dynamo Electric Fields on the Storm-Time Equatorial Ionosphere and Thermosphere. AGU Spring Meeting Abstracts. 2004.1 indexed citations
15.
Sazykin, S., et al.. (2003). Inner Magnetosphere Results from Coupled MHD-RDM Modeling. AGUFM. 2003.2 indexed citations
Wolf, R. A., T. W. Garner, J. Goldstein, S. Sazykin, & R. W. Spiro. (2001). Storm-time Magnetospheric Effects on Electric Fields in the Subauroral Ionosphere. AGUFM. 2001.1 indexed citations
19.
Sazykin, S., et al.. (2001). Inner Magnetosphere Simulations - Coupling the Michigan MHD Model with the Rice Convection Model.. AGUFM. 2001.2 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.