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.
ISEE observations of flux transfer events at the dayside magnetopause
1979559 citationsC. T. Russell, R. C. Elphicprofile →
Plasma acceleration at the Earth's magnetopause: evidence for reconnection
1979499 citationsC. T. Russell, R. C. Elphic et al.profile →
Citations per year, relative to R. C. Elphic R. C. Elphic (= 1×)
peers
B. L. Barraclough
Countries citing papers authored by R. C. Elphic
Since
Specialization
Citations
This map shows the geographic impact of R. C. Elphic'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. C. Elphic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. C. Elphic more than expected).
This network shows the impact of papers produced by R. C. Elphic. 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. C. Elphic. The network helps show where R. C. Elphic may publish in the future.
Co-authorship network of co-authors of R. C. Elphic
This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Elphic.
A scholar is included among the top collaborators of R. C. Elphic 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. C. Elphic. R. C. Elphic 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.
Teodoro, L. F. A., A. Colaprete, T. Roush, et al.. (2017). Modeling of Volatiles Loss During Lunar Resource Prospector Mission Sample Acquisition. Lunar and Planetary Science Conference. 1894.
2.
Benna, M., R. C. Elphic, D. M. Hurley, T. J. Stubbs, & P. R. Mahaffy. (2017). Observation of Signatures of Meteoroidal Water in the Lunar Exosphere by the LADEE NMS Instrument. AGU Fall Meeting Abstracts. 2017.1 indexed citations
3.
Benna, M., D. M. Hurley, T. J. Stubbs, P. R. Mahaffy, & R. C. Elphic. (2015). Observations of Meteoroidal Water in the Lunar Exosphere by the LADEE NMS Instrument. LPICo. 1863. 2059.4 indexed citations
4.
Lees, David, et al.. (2015). Tools for Enabling Real Time Volatile Prospecting with Surface Rovers. LPI. 2895.1 indexed citations
5.
Quinn, Jacqueline W., et al.. (2012). RESOLVE Lunar Ice/Volatile Payload Development and Field Test Status. 1685. 3046.4 indexed citations
6.
Heldmann, J. L., A. Colaprete, R. C. Elphic, et al.. (2012). RESOLVE: Real-Time Science Operations to Support a Lunar Polar Volatiles Rover Mission. 1685. 3034.1 indexed citations
7.
Hayne, P. O., B. T. Greenhagen, M.A. Siegler, et al.. (2011). The Moon's Extremely Insulating Near-Surface: Diviner Infrared Observations of a Total Lunar Eclipse. AGU Fall Meeting Abstracts. 2011.2 indexed citations
8.
Delory, G. T., R. C. Elphic, A. Colaprete, P. Mahaffy, & M. Horányi. (2010). The LADEE Mission: The Next Step After the Discovery of Water on the Moon. LPI. 2459.3 indexed citations
9.
Glotch, T. D., P. G. Lucey, J. L. Bandfield, et al.. (2010). Identification of Highly Silicic Features on the Moon. 1780.5 indexed citations
10.
Seki, K., J. P. McFadden, R. C. Elphic, et al.. (2005). On variation of outer radiation belt electrons and O+ ions in the inner magnetosphere during large magnetic storms: FAST observations. AGU Fall Meeting Abstracts. 2005.2 indexed citations
11.
Elphic, R. C., B. Lavraud, M. G. G. T. Taylor, et al.. (2005). The dependence of flux transfer events on solar wind conditions from three years of Cluster observations. AGU Spring Meeting Abstracts. 2005.1 indexed citations
12.
Elphic, R. C., J. Birn, J. Raeder, et al.. (2004). FTE Structures: Multi-Spacecraft Observation and Global Modeling Combined. AGUFM. 2004.1 indexed citations
13.
Lucey, P. G., D. J. Lawrence, W. C. Feldman, et al.. (2002). A New Rock Type Found at Tycho. Lunar and Planetary Science Conference. 1056.2 indexed citations
14.
Seki, K., Masafumi Hirahara, T. Terasawa, T. Mukai, & R. C. Elphic. (2002). Dynamics of oxygen ions in the Earth s magnetotail: Geotail and FAST observations. 34. 287.2 indexed citations
15.
Maurice, S., W. C. Feldman, D. J. Lawrence, et al.. (2001). A Maturity Parameter of the Lunar Regolith from Neutron Data. Lunar and Planetary Science Conference. 2033.3 indexed citations
16.
Lawrence, D. J., W. C. Feldman, D. T. Blewett, et al.. (2001). Iron Abundances on the Lunar Surface as Measured by the Lunar Prospector Gamma-Ray Spectrometer. LPI. 1830.9 indexed citations
17.
Elphic, R. C., D. J. McComas, J. E. Nordholt, et al.. (1990). Mapping Lunar Atmospheric Ions to Their Source Locations. Bulletin of the American Astronomical Society. 22. 1046.1 indexed citations
18.
Russell, C. T., R. C. Elphic, J. G. Luhmann, & J. A. Slavin. (1980). On the search for an intrinsic magnetic field at Venus. Lunar and Planetary Science Conference. 3. 1897–1906.10 indexed citations
19.
Russell, C. T., R. C. Elphic, & J. A. Slavin. (1979). Initial Pioneer Venus Magnetometer Observations. Lunar and Planetary Science Conference. 3. 1045.6 indexed citations
20.
Slavin, J. A., R. C. Elphic, & C. T. Russell. (1979). Pioneer-Venus Magnetometer Observations: Evidence for Solar Cycle Variation in the Solar Wind Interaction with Venus.. Bulletin of the American Astronomical Society. 11. 536.1 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.