A. Dyk
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 30
- Remote Sensing in Agriculture 28
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- Remote Sensing and LiDAR Applications 25
- Co-authors
- D.G. Goodenough (37 shared papers)Tian Han (14 shared papers)K. Olaf Niemann (14 shared papers)Jay Pearlman (7 shared papers)Geordie Hobart (10 shared papers)C. P. West (5 shared papers)Hao Chen (2 shared papers)Michael J. Murdoch (4 shared papers)
- Journals
- Canadian Journal of Remote Sensing (2 papers)Frontiers in Ecology and Evolution (1 paper)Environmental Reviews (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)The Forestry Chronicle (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
A. Dyk
42 papers receiving 1.1k citations
A. Dyk's Hit Papers
Peers
Comparison fields: 5 of 71
- Media Technology 298
- Environmental Engineering 442
- Ecology 682
- Ecological Modeling 111
- Global and Planetary Change 523
Countries citing papers authored by A. Dyk
This map shows the geographic impact of A. Dyk'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 A. Dyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Dyk more than expected).
Fields of papers citing papers by A. Dyk
This network shows the impact of papers produced by A. Dyk. 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 A. Dyk. The network helps show where A. Dyk may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Dyk, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pixel-Based Image Compositing for Large-Area Dense Time Series Applications and Science Hit paper breakdown → | 2014 | 359 |
| 2 | 2003 | 267 | |
| 3 | 2013 | 248 | |
| 4 | 2003 | 67 | |
| 5 | 2004 | 18 | |
| 6 | 2002 | 17 | |
| 7 | 2002 | 16 | |
| 8 | 2008 | 15 | |
| 9 | 2003 | 15 | |
| 10 | 2006 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2013 | 12 | |
| 13 | 2004 | 10 | |
| 14 | 2002 | 10 | |
| 15 | 2008 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2003 | 9 | |
| 18 | 2008 | 7 | |
| 19 | 2004 | 6 | |
| 20 | 2004 | 6 |
About A. Dyk
A. Dyk is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Media Technology and Artificial Intelligence, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (28 papers), Remote Sensing and LiDAR Applications (25 papers), Remote-Sensing Image Classification (8 papers), Land Use and Ecosystem Services (6 papers), Geochemistry and Geologic Mapping (5 papers), Satellite Image Processing and Photogrammetry (5 papers), Species Distribution and Climate Change (4 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Media Technology (298 citations), Environmental Engineering (442 citations), Ecology (682 citations), Ecological Modeling (111 citations) and Global and Planetary Change (523 citations). A. Dyk has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include D.G. Goodenough, Tian Han, K. Olaf Niemann, Jay Pearlman, Geordie Hobart, C. P. West, Hao Chen, Michael J. Murdoch, Ronald J. Hall and Joanne C. White. Their work appears in journals such as Canadian Journal of Remote Sensing, Frontiers in Ecology and Evolution, Environmental Reviews, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and The Forestry Chronicle.
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.