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.
THz imaging and sensing for security applications—explosives, weapons and drugs
This map shows the geographic impact of Dale E. Gary'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 Dale E. Gary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dale E. Gary more than expected).
This network shows the impact of papers produced by Dale E. Gary. 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 Dale E. Gary. The network helps show where Dale E. Gary may publish in the future.
Co-authorship network of co-authors of Dale E. Gary
This figure shows the co-authorship network connecting the top 25 collaborators of Dale E. Gary.
A scholar is included among the top collaborators of Dale E. Gary 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 Dale E. Gary. Dale E. Gary is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fleishman, Gregory D., T. S. Bastian, Bin Chen, et al.. (2019). Solar Coronal Magnetic Fields: Quantitative Measurements at Radio Wavelengths. Bulletin of the American Astronomical Society. 51(3). 426.1 indexed citations
10.
Gary, Dale E., et al.. (2019). Measuring Coronal Magnetic Fields with the Jansky Very Large Array and RATAN Telescopes. AGU Fall Meeting Abstracts. 2019.1 indexed citations
11.
Gary, Dale E., G. J. Hurford, Gelu M. Nita, et al.. (2014). The Expanded Owens Valley Solar Array (EOVSA). 224.3 indexed citations
12.
Nita, Gelu M., et al.. (2012). Integrated Idl Tool For 3d Modeling And Imaging Data Analysis. 220.2 indexed citations
13.
Nita, Gelu M., et al.. (2011). GX_Simulator: An Interactive Idl Widget Tool For Visualization And Simulation Of Imaging Spectroscopy Models And Data.3 indexed citations
14.
Nita, Gelu M., Gregory D. Fleishman, & Dale E. Gary. (2009). GS-3D Simulator: An Interactive IDL Widget Tool for Simulating Spatially Resolved Gyrosynchrotron Spectra Emitted by Solar Radio Bursts.
15.
Cerruti, Alessandro P., P. M. Kintner, Dale E. Gary, & L. J. Lanzerotti. (2006). Direct Observations of GPS L1 Signal-to-Noise Degradation due to Solar Radio Bursts. AGU Spring Meeting Abstracts. 2007.2 indexed citations
16.
Gary, Dale E.. (2006). The Frequency Agile Solar Radiotelescope (FASR). 26. 19.
17.
Hurford, G. J., Dale E. Gary, T. S. Bastian, & Susan White. (1999). FASR - A Frequency-Agile Solar Radiotelescope. AAS. 194.1 indexed citations
18.
Gary, Dale E. & G. J. Hurford. (1986). Spectral Structure of Solar Microwave Bursts. Bulletin of the American Astronomical Society. 18. 900.1 indexed citations
19.
Gary, Dale E.. (1982). Radio Emission from Solar and Stellar Coronae.. PhDT.8 indexed citations
20.
Gary, Dale E., G. A. Dulk, William E. Wagner, et al.. (1980). Visible Light and Radio Observations of the First Coronal Transient Event of 1980 June 29. Bulletin of the American Astronomical Society. 12. 904.1 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.