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.
Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999
This map shows the geographic impact of C. Tucker'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. Tucker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Tucker more than expected).
This network shows the impact of papers produced by C. Tucker. 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. Tucker. The network helps show where C. Tucker may publish in the future.
Co-authorship network of co-authors of C. Tucker
This figure shows the co-authorship network connecting the top 25 collaborators of C. Tucker.
A scholar is included among the top collaborators of C. Tucker 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. Tucker. C. Tucker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gliese, U., L. A. Avanov, J. Kujawski, et al.. (2013). New Method for Accurate Calibration of Micro-Channel Plate based Detection Systems and its use in the Fast Plasma Investigation of NASA's Magnetospheric MultiScale Mission. AGUFM. 2013.1 indexed citations
11.
Moore, T. E., C. J. Pollock, D. O. Kataria, et al.. (2012). The geometric factor of electrostatic plasma analyzers: A case study from the Fast Plasma Investigation for the Magnetospheric Multiscale mission (vol 83, 033303, 2012). UCL Discovery (University College London).1 indexed citations
12.
Ferkinhoff, Carl, Drew Brisbin, Thomas Nikola, et al.. (2011). First detections of the [NII] 122 {\mu}m line at z>0.04: Demonstrating the utility of the line for studying galaxies at high redshift. arXiv (Cornell University).1 indexed citations
13.
Pedelty, J. A., E. Vermote, Sadashiva Devadiga, et al.. (2007). Generating a Long-term Land Data Record from the AVHRR and MODIS Instruments. AGUFM. 2007.1 indexed citations
Vermote, E., E. Masuoka, J. L. Privette, et al.. (2004). A long-term land data record from AVHRR, MODIS and VIIRS.. AGU Fall Meeting Abstracts. 2004.1 indexed citations
16.
Rogers, D.J., Melanie F. Myers, C. Tucker, et al.. (2002). Predicting the distribution of West Nile fever in North America sensor data. Photogrammetric Engineering & Remote Sensing. 68(2). 112–114.24 indexed citations
17.
White, D. J., D. L. Morse, C. Tucker, et al.. (2002). Mapping of West Nile Virus Risk in the Northeast United States Using Multi-temporal Meteorological Satellite Data. AGU Spring Meeting Abstracts. 2002.1 indexed citations
Tucker, C., et al.. (1984). Monitoring vegetation in the Nile delta with NOAA-6 and NOAA-7 AVHRR imagery: definite trends with respect to time were observed which correlated with growing conditions and agricultural practices. Photogrammetric Engineering & Remote Sensing. 50(1). 53–61.92 indexed citations
20.
Tucker, C.. (1978). ARE TWO PHOTOGRAPHIC INFRARED SENSORS REQUIRED. Photogrammetric Engineering & Remote Sensing. 44(3). 289–295.2 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.