Brian Sauer
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
Papers in
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- Geochemistry and Geologic Mapping 1
- Neural Networks and Applications 1
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- Neural dynamics and brain function 1
- Visual perception and processing mechanisms 1
- Co-authors
- John L. Dwyer (2 shared papers)Hankui K. Zhang (1 shared paper)David P. Roy (1 shared paper)Calli B. Jenkerson (1 shared paper)Leo Lymburner (1 shared paper)H. Kretschmann (1 shared paper)Friedrich Wingert (1 shared paper)Herwig W. Lange (1 shared paper)
- Journals
- The Journal of Comparative Neurology (1 paper)Remote Sensing (1 paper)PubMed (2 papers)Abstracts with programs - Geological Society of America (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Brian Sauer
6 papers receiving 331 citations
Brian Sauer's Hit Papers
Peers
Comparison fields: 5 of 66
- Global and Planetary Change 169
- Environmental Engineering 103
- Ecological Modeling 29
- Ecology 168
- Media Technology 33
Countries citing papers authored by Brian Sauer
This map shows the geographic impact of Brian Sauer'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 Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Sauer more than expected).
Fields of papers citing papers by Brian Sauer
This network shows the impact of papers produced by Brian Sauer. 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 Sauer. The network helps show where Brian Sauer may publish in the future.
Co-authors
The 22 scholars most cited alongside Brian Sauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Analysis Ready Data: Enabling Analysis of the Landsat Archive Hit paper breakdown → | 2018 | 296 |
| 2 | 1983 | 30 | |
| 3 | 2020 | 9 | |
| 4 | Quantitative analysis of the laminae of the striate area in man. An application of automatic image analysis. | 1983 | 5 |
| 5 | A quantitative study of the cerebral cortex in Alzheimer's disease and senile dementia using an automatic image analyzing system. | 1986 | 3 |
| 6 | 2016 | 1 |
About Brian Sauer
Brian Sauer is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Atmospheric Science, Aerospace Engineering and Global and Planetary Change, having authored 6 papers that have together received 344 indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (1 paper), Infrared Target Detection Methodologies (1 paper), Spacecraft Design and Technology (1 paper), Geochemistry and Geologic Mapping (1 paper), Neural dynamics and brain function (1 paper), Climate change and permafrost (1 paper), Neural Networks and Applications (1 paper) and Visual perception and processing mechanisms (1 paper). The work is most often cited by research in Global and Planetary Change (169 citations), Environmental Engineering (103 citations), Ecological Modeling (29 citations), Ecology (168 citations) and Media Technology (33 citations). Brian Sauer has collaborated with scholars based in United States and Australia. Frequent co-authors include John L. Dwyer, Hankui K. Zhang, David P. Roy, Calli B. Jenkerson, Leo Lymburner, H. Kretschmann, Friedrich Wingert, Herwig W. Lange, Jason Hair and Geir Kvaran. Their work appears in journals such as The Journal of Comparative Neurology, Remote Sensing, PubMed and Abstracts with programs - Geological Society of America.
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.