David Gillis

717 total citations
42 papers, 464 citations indexed

About

David Gillis is a scholar working on Media Technology, Analytical Chemistry and Oceanography. According to data from OpenAlex, David Gillis has authored 42 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Media Technology, 10 papers in Analytical Chemistry and 7 papers in Oceanography. Recurrent topics in David Gillis's work include Remote-Sensing Image Classification (29 papers), Spectroscopy and Chemometric Analyses (10 papers) and Advanced Image Fusion Techniques (9 papers). David Gillis is often cited by papers focused on Remote-Sensing Image Classification (29 papers), Spectroscopy and Chemometric Analyses (10 papers) and Advanced Image Fusion Techniques (9 papers). David Gillis collaborates with scholars based in United States and Canada. David Gillis's co-authors include Jeffrey H. Bowles, Marcos J. Montes, George W. Beeler, C. L. Ewing, Daniel J. Thomas, L. M. Patrick, B. Stam, Felix M. Gradstein, P. J. Palmadesso and Charles M. Bachmann and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Optics Express and Sensors.

In The Last Decade

David Gillis

40 papers receiving 412 citations

Peers

David Gillis
David Gillis
Citations per year, relative to David Gillis David Gillis (= 1×) peers Decheng Hong

Countries citing papers authored by David Gillis

Since Specialization
Citations

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

Fields of papers citing papers by David Gillis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Gillis. 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 David Gillis. The network helps show where David Gillis may publish in the future.

Co-authorship network of co-authors of David Gillis

This figure shows the co-authorship network connecting the top 25 collaborators of David Gillis. A scholar is included among the top collaborators of David Gillis 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 David Gillis. David Gillis 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
1.
Gillis, David, Jeffrey H. Bowles, Marcos J. Montes, & W. David Miller. (2020). Deriving bathymetry and water properties from hyperspectral imagery by spectral matching using a full radiative transfer model. Remote Sensing Letters. 11(10). 903–912. 8 indexed citations
2.
Gillis, David, Jeffrey H. Bowles, Marcos J. Montes, & Wesley J. Moses. (2018). Propagation of sensor noise in oceanic hyperspectral remote sensing. Optics Express. 26(18). A818–A818. 9 indexed citations
3.
Gillis, David. (2016). A nonlinear modeling framework for the detection of underwater objects in hyperspectral imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9840. 98401B–98401B. 2 indexed citations
4.
Lunsford, R., et al.. (2015). Multiwavelength Resonance Raman Characterization of the Effect of Growth Phase and Culture Medium on Bacteria. Applied Spectroscopy. 69(8). 966–971. 9 indexed citations
5.
Gillis, David & Jeffrey H. Bowles. (2012). Hyperspectral image segmentation using spatial-spectral graphs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8390. 83901Q–83901Q. 33 indexed citations
6.
Benedetto, John J., et al.. (2012). Semi-supervised learning of heterogeneous data in remote sensing imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8401. 840104–840104. 18 indexed citations
7.
Gillis, David & Douglas R. Hamilton. (2012). Estimating Outcomes of Astronauts with Myocardial Infarction in Exploration Class Space Missions. Aviation Space and Environmental Medicine. 83(2). 79–91. 8 indexed citations
8.
Lunsford, R., et al.. (2012). Automated identification of components in a chemical mixture utilizing multi‐wavelength resonant‐Raman spectroscopy and a Pearson correlation algorithm. Journal of Raman Spectroscopy. 43(10). 1472–1476. 4 indexed citations
9.
Gillis, David, Emmett J. Ientilucci, & Jeffrey H. Bowles. (2010). Results of GLMM-based target detection on the RIT data set. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7695. 769523–769523. 1 indexed citations
10.
Polk, James D., J. Michael Duncan, Jeffrey R. Davis, et al.. (2009). The Skylab Medical Operations Project: Recommendations to Improve Crew Health and Performance for Future Exploration Missions. NASA STI Repository (National Aeronautics and Space Administration).
11.
Bachmann, Charles M., Thomas L. Ainsworth, Robert A. Fusina, et al.. (2009). Bathymetric Retrieval From Hyperspectral Imagery Using Manifold Coordinate Representations. IEEE Transactions on Geoscience and Remote Sensing. 47(3). 884–897. 29 indexed citations
12.
Scheuring, Richard A., et al.. (2007). Recommendations for Exploration Space Medicine from the Apollo Medical Operations Project. NASA Technical Reports Server (NASA). 2 indexed citations
13.
Bowles, Jeffrey H., Wei Chen, Curtiss O. Davis, et al.. (2005). Hyperspectral imaging of an inter-coastal waterway. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5983. 59830F–59830F. 3 indexed citations
14.
Bachmann, Charles M., Thomas L. Ainsworth, David Gillis, et al.. (2005). A new data-driven approach to modeling coastal bathymetry from hyperspectral imagery using manifold coordinates. 2242–2249 Vol. 3. 10 indexed citations
15.
Gillis, David & Jeffrey H. Bowles. (2004). Target detection in hyperspectral imagery using demixed spectral angles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5238. 244–244. 3 indexed citations
16.
Gillis, David, Jeffrey H. Bowles, & Michael E. Winter. (2003). Dimensionality reduction in hyperspectral imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5093. 45–45. 3 indexed citations
17.
Gillis, David, Jeffrey H. Bowles, & Michael E. Winter. (2002). Using endmembers as a coordinate system in hyperspectral imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4816. 346–346. 10 indexed citations
18.
Bowles, Jeffrey H., David Gillis, P. J. Palmadesso, et al.. (1999). <title>New results from the ORASIS/NEMO compression algorithm</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3753. 226–234. 6 indexed citations
19.
Ewing, C. L., Daniel J. Thomas, George W. Beeler, L. M. Patrick, & David Gillis. (1969). DYNAMIC RESPONSE OF THE HEAD AND NECK OF THE LIVING HUMAN TO -Gx IMPACT ACCELERATION. 1. EXPERIMENTAL DESIGN AND PRELIMINARY EXPERIMENTAL DATA. Defense Technical Information Center (DTIC). 4 indexed citations
20.
Ewing, C. L., Daniel J. Thomas, George W. Beeler, L. M. Patrick, & David Gillis. (1968). Dynamic Response of the Head and Neck of the Living Human to —G<sub>x</sub> Impact Acceleration. SAE technical papers on CD-ROM/SAE technical paper series. 1. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026