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.
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
20092.4k citationsBrian L. Markham et al.Remote Sensing of Environmentprofile →
Revised landsat-5 tm radiometric calibration procedures and postcalibration dynamic ranges
2003898 citationsBrian L. Markham et al.IEEE Transactions on Geoscience and Remote Sensingprofile →
Countries citing papers authored by Brian L. Markham
Since
Specialization
Citations
This map shows the geographic impact of Brian L. Markham'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 Brian L. Markham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian L. Markham more than expected).
Fields of papers citing papers by Brian L. Markham
This network shows the impact of papers produced by Brian L. Markham. 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 Brian L. Markham. The network helps show where Brian L. Markham may publish in the future.
Co-authorship network of co-authors of Brian L. Markham
This figure shows the co-authorship network connecting the top 25 collaborators of Brian L. Markham.
A scholar is included among the top collaborators of Brian L. Markham 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 Brian L. Markham. Brian L. Markham is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Markham, Brian L., Dennis C. Reuter, Allen Lunsford, et al.. (2013). Landsat-8(formerly LDCM): Mission Update and Thermal Infrared Sensor (TIRS) Initial Post Launch Performance. Digital Commons - USU (Utah State University).1 indexed citations
8.
Markham, Brian L., et al.. (2011). Landsat Data Continuity Mission.9 indexed citations
Markham, Brian L., James C. Storey, Darrel L. Williams, & James R. Irons. (2004). Landsat sensor performance: history and current status. IEEE Transactions on Geoscience and Remote Sensing. 42(12). 2691–2694.263 indexed citations
Thome, Kurtis J., Brian L. Markham, J. L. Barker, Philip N. Slater, & Stuart F. Biggar. (1997). Radiometric Calibration of Landsat. Photogrammetric Engineering & Remote Sensing. 63(7). 853–858.170 indexed citations
Tilton, James C., Brian L. Markham, & W.L. Alford. (1985). Landsat-4 and Landsat-5 MSS coherent noise - Characterization and removal. Photogrammetric Engineering & Remote Sensing. 51.4 indexed citations
17.
Nelson, R., et al.. (1985). Performance comparisons between information extraction techniques using variable spatial resolution data. Photogrammetric Engineering & Remote Sensing. 51.21 indexed citations
18.
Williams, Darrel L., et al.. (1983). Impact of Thematic Mapper Sensor Characteristics on Classification Accuracy. NASA Technical Reports Server (NASA). 2. 93–97.
19.
Markham, Brian L. & J. L. Barker. (1983). Spectral Characterization of the LANDSAT-4 MSS Sensors. Photogrammetric Engineering & Remote Sensing. 2. 73–75.1 indexed citations
20.
Markham, Brian L., D. S. Kimes, Compton J. Tucker, & J. E. McMurtrey. (1981). Temporal spectral response of a corn canopy. Photogrammetric Engineering & Remote Sensing. 47.12 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.