K. Staenz
- Media Technology top 0.5%
- Remote-Sensing Image Classification 42
- Ecology top 2%
- Remote Sensing in Agriculture 38
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 12
- Soil Geostatistics and Mapping 10
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 14
- Atmospheric Science top 10%
- Remote Sensing and Land Use 8
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- Geochemistry and Geologic Mapping 40
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- Calibration and Measurement Techniques 16
- Co-authors
- Heather McNairnA. BannariLixin SunH. Peter WhiteKhalid OmariT SzerediCatherine ChampagneA. Pacheco
- Journals
- Canadian Journal of Remote Sensing (26 papers)Remote Sensing of Environment (4 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)
- Partner nations
- CanadaGermanyUnited States
In The Last Decade
K. Staenz
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Media Technology 592
- Ecology 789
- Environmental Engineering 405
- Analytical Chemistry 192
- Atmospheric Science 254
Countries citing papers authored by K. Staenz
This map shows the geographic impact of K. Staenz'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 K. Staenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Staenz more than expected).
Fields of papers citing papers by K. Staenz
This network shows the impact of papers produced by K. Staenz. 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 K. Staenz. The network helps show where K. Staenz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K. Staenz, 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 | 2017 | 11 | |
| 2 | 2017 | 5 | |
| 3 | 2016 | 13 | |
| 4 | THE POTENTIAL OF THE PROPOSED CANADIAN HERO MISSION FOR GEOSCIENCE APPLICATIONS | 2013 | 0 |
| 5 | 2013 | 25 | |
| 6 | 2012 | 0 | |
| 7 | 2009 | 9 | |
| 8 | 2008 | 13 | |
| 9 | 2008 | 11 | |
| 10 | 2006 | 135 | |
| 11 | 2006 | 11 | |
| 12 | 2006 | 3 | |
| 13 | 2003 | 79 | |
| 14 | 2003 | 36 | |
| 15 | 2003 | 1 | |
| 16 | 2003 | 49 | |
| 17 | 2002 | 37 | |
| 18 | 1996 | 9 | |
| 19 | 1992 | 14 | |
| 20 | Evaluation of Thematic Mapper bands - A first step in feature selection | 1981 | 4 |
About K. Staenz
K. Staenz is a scholar working on Media Technology, Environmental Engineering, Ecology, Analytical Chemistry and Artificial Intelligence, having authored 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (42 papers), Geochemistry and Geologic Mapping (40 papers), Remote Sensing in Agriculture (38 papers), Calibration and Measurement Techniques (16 papers), Spectroscopy and Chemometric Analyses (14 papers), Remote Sensing and LiDAR Applications (12 papers), Soil Geostatistics and Mapping (10 papers) and Remote Sensing and Land Use (8 papers). The work is most often cited by research in Media Technology (592 citations), Ecology (789 citations), Environmental Engineering (405 citations), Analytical Chemistry (192 citations) and Atmospheric Science (254 citations). K. Staenz has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Heather McNairn, A. Bannari, Lixin Sun, H. Peter White, Khalid Omari, T Szeredi, Catherine Champagne, A. Pacheco, Abderrazak Bannari and D.J. Williams. Their work appears in journals such as Canadian Journal of Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and Acta Astronautica.
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.