D. Pairman
Impact in
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Soil Moisture and Remote Sensing
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
-
- Soil Geostatistics and Mapping 8
- Remote Sensing and LiDAR Applications 8
- Soil Moisture and Remote Sensing 7
-
- Synthetic Aperture Radar (SAR) Applications and Techniques 13
- Co-authors
- Josef Kittler (3 shared papers)Stephen McNeill (20 shared papers)Stella Belliss (18 shared papers)Donald W. Burgess (1 shared paper)Philip J. Bones (1 shared paper)Rick P. Millane (1 shared paper)Peter J. Smith (1 shared paper)J. R. Dymond (3 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (6 papers)International Journal of Remote Sensing (4 papers)Remote Sensing (2 papers)Pattern Recognition (1 paper)Geocarto International (1 paper)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
D. Pairman
35 papers receiving 383 citations
Peers
Comparison fields: 5 of 70
- Environmental Engineering 120
- Media Technology 74
- Ecology 166
- Ecological Modeling 20
- Global and Planetary Change 89
Countries citing papers authored by D. Pairman
This map shows the geographic impact of D. Pairman'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 D. Pairman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Pairman more than expected).
Fields of papers citing papers by D. Pairman
This network shows the impact of papers produced by D. Pairman. 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 D. Pairman. The network helps show where D. Pairman may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Pairman, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 55 | |
| 2 | 2018 | 44 | |
| 3 | 2005 | 31 | |
| 4 | 2013 | 28 | |
| 5 | 1995 | 25 | |
| 6 | 1997 | 25 | |
| 7 | 1992 | 24 | |
| 8 | 1997 | 17 | |
| 9 | 1986 | 17 | |
| 10 | 1999 | 15 | |
| 11 | 1997 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2011 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 1988 | 9 | |
| 16 | 1984 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2005 | 8 | |
| 20 | 2012 | 7 |
About D. Pairman
D. Pairman is a scholar working on Environmental Engineering, Aerospace Engineering, Ecology, Ocean Engineering and Artificial Intelligence, having authored 39 papers that have together received 417 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (13 papers), Remote Sensing in Agriculture (11 papers), Soil Geostatistics and Mapping (8 papers), Remote Sensing and LiDAR Applications (8 papers), Soil Moisture and Remote Sensing (7 papers), Land Use and Ecosystem Services (5 papers), Geochemistry and Geologic Mapping (4 papers) and Remote-Sensing Image Classification (4 papers). The work is most often cited by research in Environmental Engineering (120 citations), Media Technology (74 citations), Ecology (166 citations), Ecological Modeling (20 citations) and Global and Planetary Change (89 citations). D. Pairman has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Josef Kittler, Stephen McNeill, Stella Belliss, Donald W. Burgess, Philip J. Bones, Rick P. Millane, Peter J. Smith, J. R. Dymond, James D. Shepherd and Neal A. Scott. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing, Remote Sensing, Pattern Recognition and Geocarto International.
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.