This map shows the geographic impact of E. A. Bering'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 E. A. Bering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. A. Bering more than expected).
This network shows the impact of papers produced by E. A. Bering. 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 E. A. Bering. The network helps show where E. A. Bering may publish in the future.
Co-authorship network of co-authors of E. A. Bering
This figure shows the co-authorship network connecting the top 25 collaborators of E. A. Bering.
A scholar is included among the top collaborators of E. A. Bering 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 E. A. Bering. E. A. Bering 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.
Bering, E. A., et al.. (2020). HamSci Radio Research Using VLF and HF to measure aurora emissions and related phenomena.. AGU Fall Meeting Abstracts. 2020.
2.
King, Brian, et al.. (2018). Analysis of TEC content in the atmosphere during high solar activity.. AGUFM. 2018.
3.
Dalal, S.G., et al.. (2018). Evaluating Diversity and Implications of Microbial Presence in Upper Atmosphere. AGU Fall Meeting Abstracts. 2018.
4.
Hampton, D. L., et al.. (2017). Gravity Wave Detection through All-sky Imaging of Airglow. AGU Fall Meeting Abstracts. 2017.
5.
Bering, E. A., et al.. (2016). Student Organized Research via High-Altitude Balloon Investigations: Undergraduate Student Instrumentation Project. LPI. 3014.
Bering, E. A., Franklin Chang-Díaz, Jared Squire, et al.. (2006). Simulation of ion cyclotron heating in the auroral current region in the VASIMR. 36. 2518.4 indexed citations
Burns, G. B., Brian A. Tinsley, О. А. Troshichev, A. V. Frank‐Kamenetsky, & E. A. Bering. (2005). Interplanetary Magnetic Field (IMF By) and Atmospheric Electric Circuit Influences on Ground Level Pressure at Vostok. AGU Fall Meeting Abstracts. 2005.3 indexed citations
Koontz, Steven L., E. A. Bering, David S. Evans, et al.. (2001). Properties of the Auroral Zone Ionosphere Inferred Using Plasma Contactor Data From the International Space Station. AGU Fall Meeting Abstracts. 2001.1 indexed citations
13.
Bering, E. A., D. D. Sentman, J. R. Benbrook, et al.. (2001). Mesospheric Energy Input Owing to Sprites and other TLE's and the Possible Effects Thereof. AGUFM. 2001.1 indexed citations
14.
Morris, Gary A., E. A. Bering, Gregory Byrne, & A. A. Few. (1991). Initial Results from Measurements of Atmospheric Conduction Currents and Electric Fields at the South Pole. 6(5). 125–33.3 indexed citations
15.
Bering, E. A., et al.. (1988). Neutral wave-driven dynamo production of ultra-low-frequency fluctuations in the ionospheric electric field. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
16.
Bering, E. A. & J. R. Benbrook. (1987). Conjugate ionospheric electric field measurements. Annales Geophysicae. 5. 485–502.6 indexed citations
17.
Bering, E. A., et al.. (1987). The 1985-1986 South Pole balloon campaign. Memoirs of National Institute of Polar Research. Special issue. 48(48). 313–317.10 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.