Christopher F. Brown
- Global and Planetary Change top 5%
- Ecology top 5%
- Environmental Engineering top 5%
- Atmospheric Science top 10%
- Media Technology top 5%
- Co-authors
- Valerie J. PasquarellaKurt SchwehrCraig HansonJoseph C. MazzarielloSteven P. BrumbySimon IlyushchenkoBrookie Guzder-WilliamsTanya Birch
- Topics
- Remote Sensing in Agriculture (4 papers)Remote Sensing and LiDAR Applications (3 papers)Fire effects on ecosystems (2 papers)
- Journals
- Remote Sensing of EnvironmentInternational Journal of Applied Earth Observation and GeoinformationScientific Data
- Partner nations
- United States
In The Last Decade
Christopher F. Brown
5 papers receiving 591 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Global and Planetary Change 326
- Ecology 291
- Environmental Engineering 180
- Atmospheric Science 145
- Media Technology 96
Countries citing papers authored by Christopher F. Brown
This map shows the geographic impact of Christopher F. Brown'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 Christopher F. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher F. Brown more than expected).
Fields of papers citing papers by Christopher F. Brown
This network shows the impact of papers produced by Christopher F. Brown. 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 Christopher F. Brown. The network helps show where Christopher F. Brown may publish in the future.
Co-authorship network of co-authors of Christopher F. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher F. Brown. A scholar is included among the top collaborators of Christopher F. Brown 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 Christopher F. Brown. Christopher F. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | Dynamic World, Near real-time global 10 m land use land cover mappingbreakdown → | 547 |
| 5 | Task-oriented vision with multiple Bayes nets | 13 |
About Christopher F. Brown
Christopher F. Brown is a scholar working on Media Technology, Environmental Engineering and Ecology, having authored 5 papers that have together received 615 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Fire effects on ecosystems (2 papers). The work is most often cited by research in Global and Planetary Change (326 citations), Environmental Engineering (180 citations) and Ecology (291 citations). Christopher F. Brown has collaborated with scholars based in United States. Frequent co-authors include Valerie J. Pasquarella, Kurt Schwehr, Craig Hanson, Joseph C. Mazzariello, Steven P. Brumby, Simon Ilyushchenko, Brookie Guzder-Williams, Tanya Birch, Mikaela Weisse and Rebecca Moore. Their work appears in journals such as Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation and Scientific Data.
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.