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.
This map shows the geographic impact of S. Peter Gary'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. Peter Gary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Peter Gary more than expected).
This network shows the impact of papers produced by S. Peter Gary. 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. Peter Gary. The network helps show where S. Peter Gary may publish in the future.
Co-authorship network of co-authors of S. Peter Gary
This figure shows the co-authorship network connecting the top 25 collaborators of S. Peter Gary.
A scholar is included among the top collaborators of S. Peter Gary 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. Peter Gary. S. Peter Gary is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Simakov, Andrei N., et al.. (2011). Electron pitch-angle scattering by magnetic waves. APS Division of Plasma Physics Meeting Abstracts. 53.1 indexed citations
8.
Blum, Lauren, et al.. (2009). A comparison of magnetic field measurements and a plasma-based proxy to infer EMIC wave distributions at geosynchronous orbit. AGU Fall Meeting Abstracts. 2009.1 indexed citations
9.
Gary, S. Peter, et al.. (2009). Ion heating and energy partition at the heliospheric termination shock: hybrid simulations and analytical model. University of North Texas Digital Library (University of North Texas).
10.
Maruca, B. A., J. C. Kasper, S. Peter Gary, A. J. Lazarus, & Á. Szabó. (2009). Direct Evidence of Instability-Driven Constraints on Helium Temperature Anisotropies in the Solar Wind. AGUFM. 2009.1 indexed citations
11.
MacDonald, E., Lauren Blum, S. Peter Gary, M. F. Thomsen, & M. H. Denton. (2008). Using Particle Observations from Geosynchronous Orbit as a Proxy for Whistler and EMIC Mode Wave Growth During High Speed Stream Driven Storms. AGUFM. 2008.1 indexed citations
12.
Gary, S. Peter, B. Lavraud, M. F. Thomsen, Bertrand Lefebvre, & Steven J. Schwartz. (2006). Electron Anisotropy Constraint in the Magnetosheath: Cluster Observations. AGUFM. 2006.6 indexed citations
13.
Yin, L., D. Winske, S. Peter Gary, & J. Birn. (2001). Hybrid and Hall-MHD simulations of collisionless reconnection: Effects of plasma pressure tensor. University of North Texas Digital Library (University of North Texas). 43. 403.
14.
Kasper, J. C., A. J. Lazarus, S. Peter Gary, & Á. Szabó. (2001). A Statistical Study of Proton Temperature Anisotropies Measured by Wind/SWE. AGU Fall Meeting Abstracts. 2001.1 indexed citations
15.
Gary, S. Peter, et al.. (2001). On magnetic fluctuation spectra in the solar wind and the influence of mode dispersion. University of North Texas Digital Library (University of North Texas).1 indexed citations
16.
Dorelli, J., J. Birn, Lin Yin, D. Winske, & S. Peter Gary. (2000). Multiscale Plasma Modeling using Block Cartesian Adaptive Mesh Refinement. APS. 42.1 indexed citations
Gary, S. Peter, Joseph Wang, D. Winske, & S. A. Fuselier. (1997). Proton temperature anisotropy upper bound. Journal of Geophysical Research Atmospheres. 102(A12). 27159–27169.97 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.