K. Staenz
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
-
- Remote-Sensing Image Classification 43
- Ecology 42
- Remote Sensing in Agriculture 41
- Co-authors
- Heather McNairn (6 shared papers)A. Bannari (13 shared papers)Lixin Sun (7 shared papers)H. Peter White (14 shared papers)Khalid Omari (6 shared papers)Catherine Champagne (6 shared papers)T Szeredi (5 shared papers)A. Pacheco (2 shared papers)
- Journals
- Canadian Journal of Remote Sensing (26 papers)Remote Sensing of Environment (4 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)ISPRS Journal of Photogrammetry and Remote Sensing (2 papers)Remote Sensing (2 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
K. Staenz
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Media Technology 618
- Ecology 846
- Environmental Engineering 431
- Analytical Chemistry 201
- Atmospheric Science 277
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-authors
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
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 141 | |
| 2 | 1998 | 129 | |
| 3 | 2003 | 85 | |
| 4 | 1998 | 84 | |
| 5 | 2007 | 77 | |
| 6 | 2008 | 64 | |
| 7 | 1997 | 59 | |
| 8 | 2001 | 58 | |
| 9 | 2003 | 52 | |
| 10 | 2006 | 49 | |
| 11 | 2001 | 42 | |
| 12 | 2015 | 38 | |
| 13 | 2002 | 38 | |
| 14 | 2003 | 36 | |
| 15 | 2004 | 27 | |
| 16 | 2008 | 26 | |
| 17 | 2008 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2008 | 25 | |
| 20 | 2008 | 24 |
About K. Staenz
K. Staenz is a scholar working on Media Technology, Ecology, Artificial Intelligence, Environmental Engineering and Global and Planetary Change, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (43 papers), Geochemistry and Geologic Mapping (41 papers), Remote Sensing in Agriculture (41 papers), Calibration and Measurement Techniques (16 papers), Spectroscopy and Chemometric Analyses (14 papers), Remote Sensing and LiDAR Applications (13 papers), Soil Geostatistics and Mapping (10 papers) and Remote Sensing and Land Use (9 papers). The work is most often cited by research in Media Technology (618 citations), Ecology (846 citations), Environmental Engineering (431 citations), Analytical Chemistry (201 citations) and Atmospheric Science (277 citations). K. Staenz has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Heather McNairn, A. Bannari, Lixin Sun, H. Peter White, Khalid Omari, Catherine Champagne, T Szeredi, A. Pacheco, D.J. Williams and Abderrazak Bannari. Their work appears in journals such as Canadian Journal of Remote Sensing, Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing 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.