David Pairman

536 citations
39 papers · 419 · h-index 13

Impact in

Papers in

David Pairman

35 papers receiving 384 citations

Peers

David Pairman
Comparison fields: 5 of 70
  • Environmental Engineering 121
  • Media Technology 74
  • Ecology 167
  • Ecological Modeling 21
  • Global and Planetary Change 89
Replace Josef Aschbacher with:
Josef Aschbacher Italy
Arundhati Ray Misra India
Keith R. McCloy Denmark
Camille Desjardins France
Simon Oliver Australia
John R. Gasch United States
Del T. Jenstrom United States
Thorsten Höser Germany
Alexandre Maugnard Belgium
Lingjia Gu China
David Pairman relative to Josef Aschbacher Italy Josef Aschbacher's profile →
Citations per field
00.5×1.5×2×2.3×
Josef Aschbacher · 1×
Citations per year

Countries citing papers authored by David Pairman

Since Specialization
Citations

This map shows the geographic impact of David 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 David Pairman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pairman more than expected).

Fields of papers citing papers by David Pairman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David 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 David Pairman. The network helps show where David Pairman may publish in the future.

Co-authors

The 25 scholars most cited alongside David Pairman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Pairman Line = papers co-authored together David Pairman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198555
2 201846
3 200531
4 201329
5 199725
6 199225
7 199524
8 198617
9 199716
10 199915
11 202114
12 199713
13 201113
14 202111
15 19889
16 19849
17 20109
18 20198
19 20058
20 20127

About David Pairman

David Pairman is a scholar working on Environmental Engineering, Aerospace Engineering, Ecology, Media Technology and Ocean Engineering, having authored 39 papers that have together received 419 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 (121 citations), Media Technology (74 citations), Ecology (167 citations), Ecological Modeling (21 citations) and Global and Planetary Change (89 citations). David Pairman has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Josef Kittler, Stephen J. E. McNeill, Stella E. Belliss, Donald W. Burgess, Phil O’B. Lyver, Philip J. Bones, Rick P. Millane, Peter J. Smith, James David Shepherd and John Robert Dymond. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing, Remote Sensing, Biological Conservation and IEEE Journal of Selected Topics in Applied Earth Observations 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.

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