Jason Brazile

2.7k total citations · 2 hit papers
24 papers, 2.0k citations indexed

About

Jason Brazile is a scholar working on Aerospace Engineering, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Jason Brazile has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aerospace Engineering, 7 papers in Atmospheric Science and 5 papers in Computer Networks and Communications. Recurrent topics in Jason Brazile's work include Calibration and Measurement Techniques (15 papers), Atmospheric Ozone and Climate (6 papers) and Distributed and Parallel Computing Systems (5 papers). Jason Brazile is often cited by papers focused on Calibration and Measurement Techniques (15 papers), Atmospheric Ozone and Climate (6 papers) and Distributed and Parallel Computing Systems (5 papers). Jason Brazile collaborates with scholars based in Switzerland, Netherlands and United States. Jason Brazile's co-authors include Antonio Plaza, Lorenzo Bruzzone, Jocelyn Chanussot, James C. Tilton, Giovanna Trianni, Jón Atli Benediktsson, Gustau Camps‐Valls, Paolo Gamba, Joseph W. Boardman and Mathieu Fauvel and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Jason Brazile

20 papers receiving 1.9k citations

Hit Papers

Recent advances in techniques for hyperspectral image pro... 2006 2026 2012 2019 2009 2006 400 800 1.2k

Peers

Jason Brazile
John P. Kerekes United States
Orlesa Williams United States
C. Chovit United States
M. Aronsson United States
Charles M. Bachmann United States
John P. Kerekes United States
Jason Brazile
Citations per year, relative to Jason Brazile Jason Brazile (= 1×) peers John P. Kerekes

Countries citing papers authored by Jason Brazile

Since Specialization
Citations

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

Fields of papers citing papers by Jason Brazile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Brazile

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Brazile. A scholar is included among the top collaborators of Jason Brazile 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 Jason Brazile. Jason Brazile 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.
Plaza, Antonio, Jón Atli Benediktsson, Joseph W. Boardman, et al.. (2009). Recent advances in techniques for hyperspectral image processing. Remote Sensing of Environment. 113. S110–S122. 1305 indexed citations breakdown →
2.
Brazile, Jason, et al.. (2008). Toward scene-based retrieval of spectral response functions for hyperspectral imagers using Fraunhofer features. Canadian Journal of Remote Sensing. 34(sup1). S43–S58. 13 indexed citations
3.
Nieke, Jens, et al.. (2008). Uniformity of Imaging Spectrometry Data Products. IEEE Transactions on Geoscience and Remote Sensing. 46(10). 3326–3336. 26 indexed citations
4.
Nieke, Jens, et al.. (2007). Automatic calibration and correction scheme for APEX (Airborne Prism Experiment). Zurich Open Repository and Archive (University of Zurich). 6 indexed citations
5.
Brazile, Jason, et al.. (2006). Scene-Based Spectral Response Function Shape Discernibility for the APEX Imaging Spectrometer. IEEE Geoscience and Remote Sensing Letters. 3(3). 414–418. 11 indexed citations
6.
Dorigo, Wouter, R. Zurita‐Milla, Allard de Wit, et al.. (2006). A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. International Journal of Applied Earth Observation and Geoinformation. 9(2). 165–193. 502 indexed citations breakdown →
7.
Dangel, S., Jason Brazile, M. Kneubuehler, et al.. (2005). The design and prototyping of the SPECTRA simulator architecture. Socio-Environmental Systems Modeling. 1. 129–135. 1 indexed citations
8.
Brazile, Jason, et al.. (2005). PARALLELIZATION OF APEX AIRBORNE IMAGING SPECTROMETER PRODUCT GENERATION. Socio-Environmental Systems Modeling. 1. 109–117. 2 indexed citations
9.
Kaiser, Johannes W., et al.. (2005). SENSITIVITY STUDY FOR ATMOSPHERIC APPLICATIONS WITH APEX. 1 indexed citations
10.
Nieke, Jens, K.I. Itten, Walter Debruyn, et al.. (2005). THE AIRBORNE IMAGING SPECTROMETER APEX: FROM CONCEPT TO REALISATION. Socio-Environmental Systems Modeling. 1. 73–80. 12 indexed citations
11.
Schläpfer, Daniel, Johannes W. Kaiser, Jason Brazile, Michael E. Schaepman, & K.I. Itten. (2004). Calibration concept for potential optical aberrations of the APEX pushbroom imaging spectrometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 15 indexed citations
12.
Brazile, Jason, Michael E. Schaepman, Daniel Schläpfer, et al.. (2004). Cluster versus grid for large-volume hyperspectral image preprocessing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5548. 48–48. 6 indexed citations
13.
Schaepman, Michael E., K.I. Itten, Johannes W. Kaiser, et al.. (2004). APEX: current status of the airborne dispersive pushbroom imaging spectrometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5234. 202–202. 9 indexed citations
14.
Kaiser, Johannes W., Daniel Schläpfer, Jason Brazile, et al.. (2004). Assimilation of heterogeneous calibration measurements for the APEX spectrometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5234. 211–211. 7 indexed citations
15.
Schaepman, Michael E., K.I. Itten, Daniel Schläpfer, et al.. (2004). Status of the airborne dispersive pushbroom imaging spectrometer APEX (Airborne Prism Experiment). 7. 4304–4306. 2 indexed citations
16.
Nieke, Jens, Johannes W. Kaiser, Jason Brazile, et al.. (2004). Calibration methodology for the airborne dispersive pushbroom imaging spectrometer (APEX). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5570. 445–445. 7 indexed citations
17.
Brazile, Jason, et al.. (2003). A Software Architecture For In-Flight Acquisition And Offline Scientific Post-Processing Of Large Volume Hyperspectral Data. 1 indexed citations
18.
Brazile, Jason, Michael E. Schaepman, & Daniel Schläpfer. (2003). A Beowulf-Style Cluster Processing Concept for Large Volume Imaging Spectroscopy Data. Perspectives in biology and medicine. 21(4). 536–50. 3 indexed citations
19.
Debruyn, Walter, I. Reusen, Pieter Kempeneers, et al.. (2003). The airborne imaging spectrometer APEX (Airborne PRISM Experiment): Overview and status questions. Socio-Environmental Systems Modeling. 459–462. 1 indexed citations
20.
Schaepman, Michael E., S. Dangel, Mathias Kneubühler, et al.. (2002). Quantitative field spectroscopic measurement instrumentation and techniques. Zurich Open Repository and Archive (University of Zurich). 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.

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