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.
A global mapping technique for GPS‐derived ionospheric total electron content measurements
19981.1k citationsA. J. Mannucci, Brian Wilson et al.Radio Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Thomas F. Runge
Since
Specialization
Citations
This map shows the geographic impact of Thomas F. Runge'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 Thomas F. Runge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas F. Runge more than expected).
This network shows the impact of papers produced by Thomas F. Runge. 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 Thomas F. Runge. The network helps show where Thomas F. Runge may publish in the future.
Co-authorship network of co-authors of Thomas F. Runge
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas F. Runge.
A scholar is included among the top collaborators of Thomas F. Runge 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 Thomas F. Runge. Thomas F. Runge is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bar-Sever, Y., et al.. (2007). Atmospheric Media Calibration for the Deep Space Network Automatic calibration systems have been developed for tracking spacecraft on inter-planetary missions; the systems account for communication delays due to atmospheric effects.. Proceedings of the IEEE. 95(11). 2180–2192.1 indexed citations
Runge, Thomas F.. (2004). Application of Coloured Petri Nets in Systems Biology.12 indexed citations
10.
Komjáthy, A., et al.. (2002). A new ionospheric model for wide area differential GPS: the multiple shell approach. NASA Technical Reports Server (NASA). 460–466.23 indexed citations
11.
Komjáthy, A., et al.. (2002). Validation of global ionospheric total electron content mapping using a multi-shell approach. NASA Technical Reports Server (NASA).2 indexed citations
12.
Mannucci, A. J., et al.. (1998). A global mapping technique for GPS‐derived ionospheric total electron content measurements. Radio Science. 33(3). 565–582.1067 indexed citations breakdown →
Runge, Thomas F.. (1995). Generation of GPS Observables for Global Ionospheric Mapping. NASA Technical Reports Server (NASA).2 indexed citations
15.
Bar-Sever, Y., Thomas F. Runge, & Peter Kröger. (1995). Strategies for Near Real Time Estimates of Precipitable Water Vapor from GPS Ground Receivers. NASA Technical Reports Server (NASA).1 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.