J.J. Settle

28 papers receiving 1.8k citations

J.J. Settle's Hit Papers

Linear mixing and the estimation of ground cover proportions 1993 · 778 citations
7780+11+22Years since publication250500750

Peers

J.J. Settle
Comparison fields: 5 of 71
  • Media Technology 1.1k
  • Ecology 602
  • Environmental Engineering 179
  • Global and Planetary Change 280
  • Atmospheric Science 177
Replace Andreas Rabe with:
Andreas Rabe Germany
Michael Rast Netherlands
R. M. Hoffer United States
Karl Staenz Canada
Pat L. Scaramuzza United States
André Hollstein Germany
Silvia Valero France
Hsiao-hua K. Burke United States
Pengfeng Xiao China
J.J. Settle relative to Andreas Rabe Germany Andreas Rabe's profile →
Citations per field
00.5×1.5×
Andreas Rabe · 1×
Citations per year

Countries citing papers authored by J.J. Settle

Since Specialization
Citations

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

Fields of papers citing papers by J.J. Settle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J.J. Settle, 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 J.J. Settle Line = papers co-authored together J.J. Settle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Linear mixing and the estimation of ground cover proportions
Hit paper breakdown →
1993778
2 2004260
3 1992162
4 1991131
5 1996105
6 1999101
7 199985
8 198873
9 198762
10 200841
11 199434
12 198931
13 200224
14 199123
15 200622
16 200416
17 200416
18 200512
19 200711
20 200810

About J.J. Settle

J.J. Settle is a scholar working on Media Technology, Global and Planetary Change, Ocean Engineering, Ecology and Environmental Engineering, having authored 29 papers that have together received 2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (9 papers), Atmospheric aerosols and clouds (8 papers), Remote Sensing in Agriculture (5 papers), Satellite Image Processing and Photogrammetry (4 papers), Radiative Heat Transfer Studies (3 papers), Calibration and Measurement Techniques (2 papers), Meteorological Phenomena and Simulations (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Media Technology (1.1k citations), Ecology (602 citations), Environmental Engineering (179 citations), Global and Planetary Change (280 citations) and Atmospheric Science (177 citations). J.J. Settle has collaborated with scholars based in United Kingdom, Netherlands and Spain. Frequent co-authors include Nick Drake, Michael A. Cutter, M. J. Barnsley, Daniel R. Lobb, F. Teston, A. M. CROSS, Risto Päivinen, J. R. G. Townshend, Arwyn Jones and N. A. QUARMBY. Their work appears in journals such as International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Journal of Geophysical Research Atmospheres, Journal of Quantitative Spectroscopy and Radiative Transfer and Remote Sensing of Environment.

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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