Daniel G. Wendt
- Environmental Engineering top 5%
- Ecology top 10%
- Nature and Landscape Conservation top 10%
- Global and Planetary Change top 10%
- Insect Science
- Co-authors
- Ronald E. McRobertsMark D. NelsonMark HansenGreg C. LiknesGary J. BrandCollin G. HomerAndrew J. ListerMichael Hoppus
- Topics
- Remote Sensing and LiDAR Applications (9 papers)Remote Sensing in Agriculture (6 papers)Forest ecology and management (3 papers)
- Partner nations
- United States
In The Last Decade
Daniel G. Wendt
8 papers receiving 280 citations
Peers
Comparison fields: 5 of 40
- Environmental Engineering 248
- Ecology 201
- Nature and Landscape Conservation 159
- Global and Planetary Change 133
- Insect Science 41
Countries citing papers authored by Daniel G. Wendt
This map shows the geographic impact of Daniel G. Wendt'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 Daniel G. Wendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Wendt more than expected).
Fields of papers citing papers by Daniel G. Wendt
This network shows the impact of papers produced by Daniel G. Wendt. 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 Daniel G. Wendt. The network helps show where Daniel G. Wendt may publish in the future.
Co-authorship network of co-authors of Daniel G. Wendt
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Wendt. A scholar is included among the top collaborators of Daniel G. Wendt 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 Daniel G. Wendt. Daniel G. Wendt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Refining FIA plot locations using LiDAR point clouds | 3 |
| 2 | 7 | |
| 3 | Stratified estimates of forest area using the k-nearest neighbors technique and satellite imagery | 0 |
| 4 | 175 | |
| 5 | Synergistic use of FIA plot data and Landsat 7 ETM+ images for large area forest mapping | 14 |
| 6 | Implementing a land cover stratification on-the-fly | 1 |
| 7 | 95 | |
| 8 | Using classified Landsat Thematic Mapper data for stratification in a statewide forest inventory | 24 |
| 9 | The hexagon/panel system for selecting FIA plots under an annual inventory | 13 |
About Daniel G. Wendt
Daniel G. Wendt is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (9 papers), Remote Sensing in Agriculture (6 papers) and Forest ecology and management (3 papers). The work is most often cited by research in Environmental Engineering (248 citations), Nature and Landscape Conservation (159 citations) and Ecology (201 citations). Daniel G. Wendt has collaborated with scholars based in United States. Frequent co-authors include Ronald E. McRoberts, Mark D. Nelson, Mark Hansen, Greg C. Liknes, Gary J. Brand, Collin G. Homer, Andrew J. Lister, Michael Hoppus, Limin Yang and William H. Cooke. Their work appears in journals such as Remote Sensing of Environment and Silva Fennica.
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.