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.
Lithologic mapping in the Mountain Pass, California area using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data
2003643 citationsLawrence C. Rowan et al.Remote Sensing of Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Lawrence C. Rowan
Since
Specialization
Citations
This map shows the geographic impact of Lawrence C. Rowan'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 Lawrence C. Rowan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence C. Rowan more than expected).
Fields of papers citing papers by Lawrence C. Rowan
This network shows the impact of papers produced by Lawrence C. Rowan. 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 Lawrence C. Rowan. The network helps show where Lawrence C. Rowan may publish in the future.
Co-authorship network of co-authors of Lawrence C. Rowan
This figure shows the co-authorship network connecting the top 25 collaborators of Lawrence C. Rowan.
A scholar is included among the top collaborators of Lawrence C. Rowan 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 Lawrence C. Rowan. Lawrence C. Rowan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rowan, Lawrence C., et al.. (2001). Characterization of mine waste materials and hydrothermally altered rocks in the rio Tinto mining district (southwest Spain) using hymap data. 65–68.3 indexed citations
Rowan, Lawrence C., et al.. (1996). Remote mineralogic and lithologic mapping of the Ice River alkaline complex, British Columbia, Canada, using AVIRIS data. Photogrammetric Engineering & Remote Sensing. 62(12). 1379–1385.30 indexed citations
Crowley, James K., et al.. (1987). Analysis of airborne imaging spectrometer data for the Ruby Mountains, Montana, by use of absorption-band-depth images. NASA Technical Reports Server (NASA).3 indexed citations
11.
Rowan, Lawrence C., James K. Crowley, Marguerite J. Kingston, & A. F. H. Goetz. (1983). Identification of hydrothermal mineralization in Baja California, Mexico from orbit using the Shuttle multispectral infrared radiometer.5 indexed citations
12.
Goetz, A. F. H., Lawrence C. Rowan, & Marguerite J. Kingston. (1982). Shuttle Multispectral Infrared Radiometer - Preliminary results from the second flight of Columbia. 2.1 indexed citations
Collins, William, et al.. (1981). Remote mineralogical analysis using a high-resolution airborne spectroradiometer - Preliminary results of the Mark II system.4 indexed citations
15.
Goetz, Alexander & Lawrence C. Rowan. (1981). Geologic Remote Sensing. Science. 211(4484). 781–791.129 indexed citations
Rowan, Lawrence C.. (1975). APPLICATION OF SATELLITES TO GEOLOGIC EXPLORATION. American Scientist. 63(4). 393–403.13 indexed citations
18.
Rowan, Lawrence C., et al.. (1973). Structural geologic analysis of Nevada using ERTS-1 images: A preliminary report.3 indexed citations
19.
Rowan, Lawrence C.. (1973). Iron-absorption band analysis for the discrimination of iron-rich zones. NASA STI Repository (National Aeronautics and Space Administration).5 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.