James D. Shepherd
Impact in
- Ecology top 5%
- Remote Sensing in Agriculture
- Wildlife Ecology and Conservation
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- Species Distribution and Climate Change 13
- Ecology 29
- Remote Sensing in Agriculture 24
- Wildlife Ecology and Conservation 7
- Co-authors
- J. R. DymondAnne-Gäelle AusseilPeter BuntingPeter N. BeetsDavid WhiteheadS. M. DeanMiko U. F. KirschbaumJiaguo Qi
- Journals
- Remote Sensing (10 papers)Remote Sensing of Environment (4 papers)International Journal of Remote Sensing (3 papers)Wildlife Research (2 papers)Forests (1 paper)
- Partner nations
- New ZealandGermanyUnited Kingdom
In The Last Decade
James D. Shepherd
40 papers receiving 842 citations
Peers
Comparison fields: 5 of 79
- Ecology 546
- Ecological Modeling 91
- Environmental Engineering 284
- Global and Planetary Change 361
- Media Technology 104
Countries citing papers authored by James D. Shepherd
This map shows the geographic impact of James D. Shepherd'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 James D. Shepherd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D. Shepherd more than expected).
Fields of papers citing papers by James D. Shepherd
This network shows the impact of papers produced by James D. Shepherd. 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 James D. Shepherd. The network helps show where James D. Shepherd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James D. Shepherd, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 13 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 6 | |
| 9 | 2016 | 25 | |
| 10 | 2015 | 7 | |
| 11 | 2011 | 6 | |
| 12 | 2011 | 80 | |
| 13 | 2011 | 14 | |
| 14 | 2008 | 4 | |
| 15 | 2007 | 32 | |
| 16 | 2007 | 2 | |
| 17 | 2006 | 6 | |
| 18 | 2003 | 156 | |
| 19 | 2000 | 6 | |
| 20 | Comment on: Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry, by Gu and Gillespie (Remote Sens. Environ 64 :166-175, 1998). Authors' reply | 1999 | 2 |
About James D. Shepherd
James D. Shepherd is a scholar working on Ecological Modeling, Ecology, Environmental Engineering, Global and Planetary Change and Nature and Landscape Conservation, having authored 41 papers that have together received 905 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (24 papers), Remote Sensing and LiDAR Applications (15 papers), Species Distribution and Climate Change (13 papers), Wildlife Ecology and Conservation (7 papers), Land Use and Ecosystem Services (7 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Remote-Sensing Image Classification (4 papers) and Ecology and Vegetation Dynamics Studies (4 papers). The work is most often cited by research in Ecology (546 citations), Ecological Modeling (91 citations), Environmental Engineering (284 citations), Global and Planetary Change (361 citations) and Media Technology (104 citations). James D. Shepherd has collaborated with scholars based in New Zealand, Germany and United Kingdom. Frequent co-authors include J. R. Dymond, Anne-Gäelle Ausseil, Peter Bunting, Peter N. Beets, David Whitehead, S. M. Dean, Miko U. F. Kirschbaum, Jiaguo Qi, Sam Gillingham and Susan K. Wiser. Their work appears in journals such as Remote Sensing, Remote Sensing of Environment, International Journal of Remote Sensing, Wildlife Research and Forests.
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.