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 new lunar digital elevation model from the Lunar Orbiter Laser Altimeter and SELENE Terrain Camera
2015394 citationsM. K. Barker, E. Mazarico et al.profile →
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 M. K. Barker'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 M. K. Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. K. Barker more than expected).
This network shows the impact of papers produced by M. K. Barker. 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 M. K. Barker. The network helps show where M. K. Barker may publish in the future.
Co-authorship network of co-authors of M. K. Barker
This figure shows the co-authorship network connecting the top 25 collaborators of M. K. Barker.
A scholar is included among the top collaborators of M. K. Barker 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 M. K. Barker. M. K. Barker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Neumann, G. A., M. K. Barker, E. Mazarico, et al.. (2020). Global and Local Variations in 1064-nm Normal Albedo of Bennu from the OSIRIS-REx Laser Altimeter. LPI. 2032.
12.
Bertone, S., E. Mazarico, M. K. Barker, et al.. (2020). New Solution for Mercury Geodetic Parameters with Altimetric Crossovers from the Mercury Laser Altimeter (MLA). Lunar and Planetary Science Conference. 2079.1 indexed citations
Mazarico, E. & M. K. Barker. (2018). New Developments in Modeling of Illumination Conditions, at the Moon and Beyond. Lunar and Planetary Science Conference. 2801.1 indexed citations
15.
Neumann, G. A., M. K. Barker, E. Mazarico, et al.. (2018). OSIRIS-REx Laser Altimeter 1064-nm Reflectance Investigation at Bennu. Lunar and Planetary Science Conference. 1676.1 indexed citations
16.
Mazarico, E., M. K. Barker, G. A. Neumann, David E. Smith, & M. T. Zuber. (2016). Mercury's Rotational State from the Mercury Laser Altimeter. Lunar and Planetary Science Conference. 2062.1 indexed citations
17.
Smith, David E., M. T. Zuber, M. K. Barker, et al.. (2016). An Experiment to Detect Lunar Horizon Glow with the Lunar Orbit Laser Altimeter Laser Ranging Telescope. EGUGA.
18.
Bauer, Robert S., M. K. Barker, E. Mazarico, & G. A. Neumann. (2015). Calibration of Mercury Laser Altimeter Data Using Digital Elevation Models Derived from Stereo Image Pairs. AGUFM. 2015.1 indexed citations
19.
Barker, M. K., E. Mazarico, G. A. Neumann, D. E. Smith, & M. T. Zuber. (2014). Merging Digital Elevation Models from the Lunar Orbiter Laser Altimeter and Kaguya Terrain Camera. LPI. 1635.2 indexed citations
20.
Sun, Xiaoli, M. H. Torrence, David R. Skillman, et al.. (2013). Laser Ranging to the Lunar Reconnaissance Orbiter: improved timing and orbits. AGU Fall Meeting Abstracts. 2013.2 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.