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.
Ionospheres
2009633 citationsR. W. Schunk, A. F. Nagyprofile →
Ionospheres physics, plasma physics, and chemistry
2000457 citationsR. W. Schunk, A. F. NagyCERN Document Server (European Organization for Nuclear Research)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of R. W. Schunk'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. W. Schunk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. W. Schunk more than expected).
This network shows the impact of papers produced by R. W. Schunk. 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. W. Schunk. The network helps show where R. W. Schunk may publish in the future.
Co-authorship network of co-authors of R. W. Schunk
This figure shows the co-authorship network connecting the top 25 collaborators of R. W. Schunk.
A scholar is included among the top collaborators of R. W. Schunk 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. W. Schunk. R. W. Schunk is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schunk, R. W., J. Huba, & G. V. Khazanov. (2013). Modeling the Ionosphere-Thermosphere System.8 indexed citations
4.
McHarg, M. G., et al.. (2013). Comparisons of the low-cost in-situ MESA plasma sensor with C/NOFS and GAIM plasma density/temperature data. AGU Fall Meeting Abstracts. 2013.1 indexed citations
5.
Shim, J. S., M. M. Kuznetsova, L. Rastäetter, et al.. (2010). CEDAR Electrodynamics Thermosphere Ionosphere (ETI) Challenge for Systematic Assessment of Ionospheric Models. AGUFM. 2010.4 indexed citations
6.
Schunk, R. W., et al.. (2010). Uncertainty Associated with Modeling the Global Ionosphere. Digital Commons - USU (Utah State University). 2010.1 indexed citations
7.
Zhu, Ling, J. J. Sojka, R. W. Schunk, Zhihua Xu, & Piotr Kokoszka. (2009). Study of the Ring Current Variability with the Use of Ground-Based Magnetometer Measurements and New Statistical Technique: Preliminary Results. AGU Fall Meeting Abstracts. 2009.1 indexed citations
8.
David, M., R. W. Schunk, & J. J. Sojka. (2007). The Effect of Downward Electron Heat Flow and Electron Cooling Processes in the High- Latitude Ionosphere. AGUFM. 2007.1 indexed citations
9.
Barakat, A. R. & R. W. Schunk. (2007). Monte Carlo vs. Transport Equations' Description of Outflowing Fully-Ionized Ionospheric Plasma. AGU Fall Meeting Abstracts. 2007.1 indexed citations
10.
Scherliess, L., D. C. Thompson, R. W. Schunk, & J. J. Sojka. (2006). Ionospheric/Thermospheric Variability At Middle Latitudes Obtained From The Global Assimilation Of Ionospheric Measurements (GAIM) Model. AGUFM. 2006.3 indexed citations
11.
Barakat, A. R. & R. W. Schunk. (2004). 3-D Dynamic Behavior of the Generalized Polar Wind With Low-Altitude Auroral Ion Energization. AGU Spring Meeting Abstracts. 2004.1 indexed citations
12.
Scherliess, L., R. W. Schunk, J. J. Sojka, & D. C. Thompson. (2003). The USU GAIM Data Assimilation Model for the Ionosphere. AGU Fall Meeting Abstracts. 2003.1 indexed citations
13.
Bekerat, Hamed, R. W. Schunk, L. Scherliess, & J. V. Eccles. (2001). Determination of Ionospheric High-Latitude Drivers for GAIM Using DMSP Data. AGUFM. 2001.1 indexed citations
14.
Jee, Geonhwa, R. W. Schunk, & L. Scherliess. (2001). On the Determination of the Global Neutral Wind Field Using TEC Observations. AGU Fall Meeting Abstracts. 2001.1 indexed citations
15.
Schunk, R. W. & A. F. Nagy. (2000). Ionospheres physics, plasma physics, and chemistry. CERN Document Server (European Organization for Nuclear Research).457 indexed citations breakdown →
16.
Blelly, Pierre‐Louis & R. W. Schunk. (1993). A comparative study of the time-dependent standard 8-, 13- and 16-moment transport formulations of the polar wind. Annales Geophysicae. 11(6). 443–469.50 indexed citations
17.
Demars, H. G. & R. W. Schunk. (1989). Solutions to bi-Maxwellian transport equations for the solar wind.. Bulletin of the American Physical Society. 34(4). 1284–1285.1 indexed citations
18.
Schunk, R. W., et al.. (1989). Richard Wagners Der fliegende Holländer.1 indexed citations
19.
Schunk, R. W. & E. P. Szuszczewicz. (1988). First-principle and empirical modelling of the global-scale ionosphere.. Annales Geophysicae. 6. 19–30.15 indexed citations
20.
Wilkinson, P. J., et al.. (1988). Interhemispheric comparison of SUNDIAL F-region data with global scale ionospheric models.. Annales Geophysicae. 6. 31–37.7 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.