Brian Killough

1.1k total citations
34 papers, 526 citations indexed

About

Brian Killough is a scholar working on Aerospace Engineering, Global and Planetary Change and Information Systems and Management. According to data from OpenAlex, Brian Killough has authored 34 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 9 papers in Global and Planetary Change and 8 papers in Information Systems and Management. Recurrent topics in Brian Killough's work include Scientific Computing and Data Management (6 papers), Spacecraft Design and Technology (4 papers) and Distributed and Parallel Computing Systems (4 papers). Brian Killough is often cited by papers focused on Scientific Computing and Data Management (6 papers), Spacecraft Design and Technology (4 papers) and Distributed and Parallel Computing Systems (4 papers). Brian Killough collaborates with scholars based in United States, Australia and Switzerland. Brian Killough's co-authors include Grégory Giuliani, Stuart Minchin, Inbal Becker‐Reshef, Christopher Justice, A. K. Whitcraft, Gilberto Câmara, S. R. H. Rizvi, Alex C. Ruane, Radley M. Horton and Douglas R. Brown and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

Brian Killough

30 papers receiving 510 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Killough United States 11 189 181 98 91 82 34 526
Weiguo Han United States 13 224 1.2× 216 1.2× 106 1.1× 87 1.0× 79 1.0× 42 742
Karine Reis Ferreira Brazil 13 304 1.6× 248 1.4× 133 1.4× 100 1.1× 74 0.9× 39 713
Xiaochuang Yao China 17 261 1.4× 255 1.4× 163 1.7× 58 0.6× 128 1.6× 57 825
Lingjun Kang United States 13 183 1.0× 242 1.3× 118 1.2× 27 0.3× 112 1.4× 23 440
Meixia Deng United States 18 534 2.8× 393 2.2× 243 2.5× 77 0.8× 207 2.5× 37 1.0k
Gilberto Ribeiro de Queiroz Brazil 10 354 1.9× 232 1.3× 129 1.3× 82 0.9× 103 1.3× 32 639
Olga Kussul Ukraine 14 466 2.5× 399 2.2× 160 1.6× 38 0.4× 137 1.7× 24 840
Yuanzheng Shao United States 13 79 0.4× 90 0.5× 74 0.8× 40 0.4× 43 0.5× 26 314
Ricardo Cartaxo Modesto de Souza Brazil 7 244 1.3× 186 1.0× 119 1.2× 55 0.6× 46 0.6× 14 698
Daniel McInerney Italy 12 278 1.5× 241 1.3× 265 2.7× 37 0.4× 89 1.1× 25 677

Countries citing papers authored by Brian Killough

Since Specialization
Citations

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

Fields of papers citing papers by Brian Killough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Killough

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Killough. A scholar is included among the top collaborators of Brian Killough 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 Brian Killough. Brian Killough 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.
Sudmanns, Martin, Hannah Augustin, Brian Killough, et al.. (2022). Think global, cube local: an Earth Observation Data Cube’s contribution to the Digital Earth vision. Big Earth Data. 7(3). 831–859. 27 indexed citations
2.
3.
Killough, Brian, et al.. (2021). Advancements in the Open Data Cube and the Use of Analysis Ready Data in the Cloud. 1793–1795. 6 indexed citations
4.
Giuliani, Grégory, Gilberto Câmara, Brian Killough, & Stuart Minchin. (2020). Earth Observation Data Cubes. Archive ouverte UNIGE (University of Geneva). 2 indexed citations
5.
6.
Killough, Brian. (2019). The Impact of Analysis Ready Data in the Africa Regional Data Cube. 5646–5649. 29 indexed citations
7.
Rizvi, S. R. H. & Brian Killough. (2018). Random Forest Classification of Regions in Colombia and Uruguay using Open Data Cube (ODC) Framework. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
8.
Killough, Brian. (2018). Overview of the Open Data Cube Initiative. 8629–8632. 85 indexed citations
9.
Lewis, Adam, Susanne Mecklenburg, Brian Killough, et al.. (2018). CEOS Analysis Ready Data for Land (CARD4L) Overview. 7407–7410. 38 indexed citations
10.
Rizvi, S. R. H., et al.. (2018). The Ceos Data Cube Portal: a User-Friendly, Open Source Software Solution for the Distribution, Exploration, Analysis, and Visualization of Analysis Ready Data. NASA STI Repository (National Aeronautics and Space Administration). 8639–8642. 9 indexed citations
11.
Whitcraft, A. K., Inbal Becker‐Reshef, Brian Killough, & Christopher Justice. (2015). Meeting Earth Observation Requirements for Global Agricultural Monitoring: An Evaluation of the Revisit Capabilities of Current and Planned Moderate Resolution Optical Earth Observing Missions. Remote Sensing. 7(2). 1482–1503. 60 indexed citations
12.
Justice, C. O., A. K. Whitcraft, Inbal Becker‐Reshef, & Brian Killough. (2013). Developing and implementing a data acquisition strategy for global agricultural monitoring: an inter-agency initiative. AGUFM. 2013.
13.
Killough, Brian, et al.. (2013). CEOS Visualization Environment (COVE) Tool for Intercalibration of Satellite Instruments. IEEE Transactions on Geoscience and Remote Sensing. 51(3). 1081–1087. 11 indexed citations
14.
Levine, Joel S., et al.. (2012). The Aerial Regional-Scale Environmental Surveyor (ARES): New Mars Science to Reduce Human Risk and Prepare for the Human Exploration. NASA Technical Reports Server (NASA). 1679. 4086. 5 indexed citations
15.
Killough, Brian, et al.. (2011). CEOS Land Surface Imaging Constellation Mid-Resolution Optical Guidelines. NASA Technical Reports Server (NASA). 1 indexed citations
16.
Killough, Brian, et al.. (2009). A Web-based Google-Earth Coincident Imaging Tool for Satellite Calibration and Validation. AGUFM. 2009. 1 indexed citations
17.
Killough, Brian, et al.. (2008). Optimizing societal benefit using a systems engineering approach for implementation of the GEOSS space segment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7151. 715103–715103.
18.
Levine, Joel S., Vincent G. Ambrosia, James A. Brass, et al.. (2004). <title>Monitoring wildfires using an autonomous aerial system (AAS)</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5661. 104–120. 3 indexed citations
19.
Killough, Brian. (1995). Thermal Design and Analysis of the CERES Instrument for the EOS-AM Spacecraft. SAE technical papers on CD-ROM/SAE technical paper series. 1.
20.
Killough, Brian, et al.. (1990). Thermal Control of a LIDAR Laser System Using a Non-Conventional Ram Air Heat Exchanger. SAE technical papers on CD-ROM/SAE technical paper series. 1. 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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