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.
The effects of long alpha-stopping distances on (U‐Th)/He ages
This map shows the geographic impact of R. A. Wolf'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 R. A. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. A. Wolf more than expected).
This network shows the impact of papers produced by R. A. Wolf. 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 R. A. Wolf. The network helps show where R. A. Wolf may publish in the future.
Co-authorship network of co-authors of R. A. Wolf
This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Wolf.
A scholar is included among the top collaborators of R. A. Wolf 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 R. A. Wolf. R. A. Wolf 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
10.
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
11.
Gkioulidou, M., et al.. (2010). Effect of self-consistent magnetic field on plasma sheet penetration to the inner magnetosphere under enhanced convection: RCM simulations combined with force-balance magnetic field solver. AGUFM. 2010.1 indexed citations
12.
Hu, Bo, et al.. (2010). Exploring the inertial effects of fast moving bubbles using the two-way coupled OpenGGCM and the Rice Convection Model. AGU Fall Meeting Abstracts. 2010.1 indexed citations
13.
Wu, Han-Qing, et al.. (2007). Numerical Simulation of Coriolis Effects on the Interchange Instability in Saturn¡s Magnetosphere. AGU Fall Meeting Abstracts. 2007.1 indexed citations
14.
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
15.
Sazykin, S., et al.. (2003). Inner Magnetosphere Results from Coupled MHD-RDM Modeling. AGUFM. 2003.2 indexed citations
16.
Goldstein, J., R. A. Wolf, B. R. Sandel, et al.. (2002). Rapid response of the plasmasphere to changes in the solar wind and IMF: Global plasmapause electric field measurements by IMAGE EUV, and simulation with the Rice MSM.. AGU Spring Meeting Abstracts. 2002.2 indexed citations
17.
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
18.
Fejer, B. G., R. W. Spiro, R. A. Wolf, & J. C. Foster. (1990). Latitudinal variation of perturbation electric fields during magnetically disturbed periods - 1986 Sundial observations and model results. Annales Geophysicae. 8. 441–454.172 indexed citations
19.
Spiro, R. W., R. A. Wolf, & B. G. Fejer. (1988). Penetrating of high-latitude-electric-field effects to low latitudes during SUNDIAL 1984. Annales Geophysicae. 6. 39–49.302 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.