Brian Killough

1.1k citations
34 papers · 526 indexed · h-index 11

Brian Killough

30 papers receiving 510 citations

Peers

Brian Killough
Comparison fields: 5 of 70
  • Geography, Planning and Development 56
  • Global and Planetary Change 181
  • Ecological Modeling 36
  • Information Systems and Management 51
  • Ecology 189
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Citations per year

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

The 25 scholars most cited alongside Brian Killough, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Killough Line = papers co-authored together Brian Killough links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202227
2 20216
3 20216
4 20202
5 20206
6 201929
7
Random Forest Classification of Regions in Colombia and Uruguay using Open Data Cube (ODC) Framework
20182
8 201885
9 201838
10 20189
11 201560
12
Developing and implementing a data acquisition strategy for global agricultural monitoring: an inter-agency initiative
20130
13 201311
14
The Aerial Regional-Scale Environmental Surveyor (ARES): New Mars Science to Reduce Human Risk and Prepare for the Human Exploration
20125
15
CEOS Land Surface Imaging Constellation Mid-Resolution Optical Guidelines
20111
16
A Web-based Google-Earth Coincident Imaging Tool for Satellite Calibration and Validation
20091
17 20080
18 20043
19 19950
20 19902

About Brian Killough

Brian Killough is a scholar working on Information Systems and Management, Geography, Planning and Development, Global and Planetary Change, Aerospace Engineering and Environmental Engineering, having authored 34 papers that have together received 526 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Spacecraft Design and Technology (4 papers), Distributed and Parallel Computing Systems (4 papers), Calibration and Measurement Techniques (4 papers), Geographic Information Systems Studies (4 papers), Remote Sensing in Agriculture (3 papers), Atmospheric and Environmental Gas Dynamics (3 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Geography, Planning and Development (56 citations), Global and Planetary Change (181 citations), Ecological Modeling (36 citations), Information Systems and Management (51 citations) and Ecology (189 citations). Brian Killough has collaborated with scholars based in United States, Australia and Switzerland. Frequent 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. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Remote Sensing, Big Earth Data, Agricultural and Forest Meteorology and IEEE Transactions on Geoscience and Remote Sensing.

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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