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.
Pitch-angle diffusion of radiation belt electrons within the plasmasphere
1972658 citationsL. R. Lyons, R. M. Thorne 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 L. R. Lyons'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 L. R. Lyons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. R. Lyons more than expected).
This network shows the impact of papers produced by L. R. Lyons. 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 L. R. Lyons. The network helps show where L. R. Lyons may publish in the future.
Co-authorship network of co-authors of L. R. Lyons
This figure shows the co-authorship network connecting the top 25 collaborators of L. R. Lyons.
A scholar is included among the top collaborators of L. R. Lyons 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 L. R. Lyons. L. R. Lyons is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Engebretson, M. J., Erik S. Steinmetz, J. L. Posch, et al.. (2018). Multiple-Instrument Observations of Nighttime Magnetic Impulse Events (MIEs) at High Latitudes. AGU Fall Meeting Abstracts. 2018.1 indexed citations
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
4.
Subbotin, D., Yuri Shprits, M. Gkioulidou, et al.. (2008). RCM-VERB Coupled Simulations of the Dynamics of the Radiation Belts During Storms. cosp. 2008. 6052.1 indexed citations
5.
Xing, X., L. R. Lyons, V. Angelopoulos, et al.. (2008). Evolution of Inner Plasma Sheet Pressure Associated with Substorm Onset. AGU Fall Meeting Abstracts. 2008.1 indexed citations
6.
Lyons, L. R., et al.. (2007). Numerical Calculations of Relativistic Electron Drift Loss Effect. AGU Fall Meeting Abstracts. 2007.1 indexed citations
7.
Lyons, L. R., et al.. (2007). Multipoint observations of quasi-periodic substorms associated with ULF pulsations. AGU Fall Meeting Abstracts. 2007.3 indexed citations
8.
Gkioulidou, M., et al.. (2007). Effects of plasma sheet condition on the evolution of shielding and the Harang reversal under weak convection: RCM simulations. AGUFM. 2007.1 indexed citations
9.
Lyons, L. R., et al.. (2005). Categories of Externally Triggered Substorms: Applications to Observable Plasma Sheet Dynamics and Sawtooth Events. AGU Fall Meeting Abstracts. 2005.1 indexed citations
Lyons, L. R., et al.. (2002). Observations of Dayside Convection Reduction Leading to Substorm Onset. AGU Fall Meeting Abstracts. 2002.5 indexed citations
Dusenbery, P. B. & L. R. Lyons. (1987). Generation of Broadband Noise in the Magnetotail. Defense Technical Information Center (DTIC). 295.4 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.