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.
Mars Reconnaissance Orbiter's High Resolution Imaging Science Experiment (HiRISE)
20071.3k citationsJ. A. Grant, K. E. Herkenhoff et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of C. M. Weitz'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 C. M. Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. M. Weitz more than expected).
This network shows the impact of papers produced by C. M. Weitz. 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 C. M. Weitz. The network helps show where C. M. Weitz may publish in the future.
Co-authorship network of co-authors of C. M. Weitz
This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Weitz.
A scholar is included among the top collaborators of C. M. Weitz 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 C. M. Weitz. C. M. Weitz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hauber, Ernst, D. A. Crown, T. Platz, et al.. (2017). Fault Populations on Alba Mons, Mars, and their Age Relationships to Volcanic, Fluvial, and Glacial Processes. elib (German Aerospace Center).
11.
Roach, L. H., J. F. Mustard, S. L. Murchie, et al.. (2007). Magnesium and Iron Sulfate Variety and Distribution in East Candor and Capri Chasma, Valles Marineris. LPICo. 1353. 3223.11 indexed citations
12.
Weitz, C. M., et al.. (2007). Early HiRISE Observations of Light-toned Layered Deposits. LPI. 1442.2 indexed citations
13.
Jolliff, B. L., et al.. (2006). Origin of Rocks and Cobbles on the Meridiani Plains as Seen by Opportunity. 37th Annual Lunar and Planetary Science Conference. 2401.6 indexed citations
14.
Sullivan, R., J. F. Bell, W. H. Farrand, et al.. (2006). Mars Exploration Rover Spirit Investigation of the "El Dorado" Sand Deposit. LPI. 1829.1 indexed citations
15.
Weitz, C. M. & T. J. Parker. (2000). New Evidence that the Valles Marineris Interior Layered Deposits Formed in Standing Bodies of Water. Lunar and Planetary Science Conference. 1693.11 indexed citations
16.
Golombek, M., Nathan Bridges, M. S. Gilmore, et al.. (1999). Preliminary Constraints and Approach for Selecting the Mars Surveyor '01 Landing Site. LPI. 1383.1 indexed citations
17.
Head, J. W., et al.. (1998). Lunar Rima Parry IV: Dike Emplacement Processes and Consequent Volcanism. Lunar and Planetary Science Conference. 1914.2 indexed citations
18.
Weitz, C. M. & J. W. Head. (1995). Lunar Pyroclastic Deposits: Nature and Distribution of Pyroclastic Glasses at Taurus-Littrow. Lunar and Planetary Science Conference. 26. 1485.1 indexed citations
19.
Helfenstein, P., Jim Hillier, C. M. Weitz, & J. Veverka. (1990). Oberon: Color Photometry and its Geological Implications. Lunar and Planetary Science Conference. 21. 489.1 indexed citations
20.
Weitz, C. M., P. C. Thomas, & J. Veverka. (1988). Small Satellites of Uranus: Disk-Integrated Photometry and Estimated Radii. Bulletin of the American Astronomical Society. 20. 880.1 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.