Gary A. Shaw

3.9k total citations · 2 hit papers
42 papers, 2.9k citations indexed

About

Gary A. Shaw is a scholar working on Electrical and Electronic Engineering, Media Technology and Aerospace Engineering. According to data from OpenAlex, Gary A. Shaw has authored 42 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Media Technology and 10 papers in Aerospace Engineering. Recurrent topics in Gary A. Shaw's work include Remote-Sensing Image Classification (12 papers), Optical Wireless Communication Technologies (8 papers) and Advanced Optical Sensing Technologies (8 papers). Gary A. Shaw is often cited by papers focused on Remote-Sensing Image Classification (12 papers), Optical Wireless Communication Technologies (8 papers) and Advanced Optical Sensing Technologies (8 papers). Gary A. Shaw collaborates with scholars based in United States, Netherlands and Canada. Gary A. Shaw's co-authors include Dimitris G. Manolakis, David Marden, Hsiao-hua K. Burke, Andrew M. Siegel, Nirmal Keshava, John P. Kerekes, Michael K. Griffin, Sumanth Kaushik, Peter Sandvik and Stanislav I. Soloviev and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Gary A. Shaw

38 papers receiving 2.8k citations

Hit Papers

Detection algorithms for hyperspectral imaging applications 2002 2026 2010 2018 2002 2003 250 500 750

Peers

Gary A. Shaw
Comparison fields: 5 of 119
  • Media Technology 2.1k
  • Atmospheric Science 896
  • Aerospace Engineering 649
  • Computer Vision and Pattern Recognition 612
  • Analytical Chemistry 449
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Citations per field, relative to Gary A. Shaw
Gary A. Shaw · 1×
Citations per year, relative to Gary A. Shaw
Gary A. Shaw · 1×

Countries citing papers authored by Gary A. Shaw

Since Specialization
Citations

This map shows the geographic impact of Gary A. Shaw'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 Gary A. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary A. Shaw more than expected).

Fields of papers citing papers by Gary A. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary A. Shaw. 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 Gary A. Shaw. The network helps show where Gary A. Shaw may publish in the future.

Co-authorship network of co-authors of Gary A. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Gary A. Shaw. A scholar is included among the top collaborators of Gary A. Shaw 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 Gary A. Shaw. Gary A. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 60
4 1
5 65
6 56
7 2
8
Spectral Imaging for Remote Sensing
345
9 34
10 3
11 0
12
Detection algorithms for hyperspectral imaging applications breakdown →
850
13 33
14
On the Statistics of Hyperspectral Imaging Data
30
15 73
16 53
17 1
18
Design, stability and performance of two-dimensional recursive digital filters
8
19 6
20 0

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.

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